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Google Gemini Pro vs GPT 4 AI model performance compared

Gemini Pro vs GPT 4 AI model performance compared

The world of artificial intelligence (AI) is evolving rapidly, with tech giants vying to lead the charge by creating advanced AI models. Google has recently stepped up its game with the release of Bard, adding to its suite of AI tools that includes Gemini Pro and Gemini Ultra. This quick Gemini Pro vs GPT 4 comparison guide provides more information on the performance you can expect from Gemini Pro at the current time.

These new models are shaking up the industry, presenting a challenge to established models like ChatGPT, GPT-4, and GPT-3.5. The advancements in AI are set to have a significant impact on how we interact with digital platforms, industry practices, and the overall technological landscape.

For everyday users, the advancements in AI are bringing about exciting changes. Google’s Bard, for example, has the capability to interpret images and provide answers to complex questions with a level of detail and precision that could potentially outdo ChatGPT. This is a major step forward for Google and offers a valuable tool for those in search of smarter, more intuitive AI assistance.

When it comes to performance, Gemini Pro is also making waves. Its ability to integrate with various services and APIs is particularly noteworthy, especially when compared to GPT-4 and the earlier GPT-3.5. Imagine the transformation in your experience with content and advertising on platforms like YouTube and Twitter, as they become more intelligent and sophisticated thanks to these AI algorithms.

Gemini Pro vs GPT 4

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Furthermore, Google’s Gemini Ultra is on the brink of setting new standards for AI capabilities, potentially surpassing GPT-4. This could have a profound effect on content creators and marketers, especially in the realm of search engine optimization (SEO). The way we establish and maintain an online presence could be fundamentally altered by the influence of AI.

The goal of integrating AI into platforms such as YouTube and Twitter is to create a more personalized and efficient user experience. Imagine an AI that not only understands what you like to watch or read but also predicts your needs, offering travel advice or managing complex tasks with ease. Here is a quick summary of the differences between Gemini Pro vs GPT 4 on what we know so far.

Gemini Pro:

  • Part of Google’s suite of AI tools, alongside Bard and Gemini Ultra.
  • Notable for its ability to integrate with various services and APIs, enhancing content and advertising on platforms like YouTube and Twitter.
  • Designed to provide a more personalized and efficient user experience by predicting user needs and preferences.
  • Challenges established AI models like GPT-4 in terms of capabilities and applications.

GPT-4:

  • Developed by OpenAI, following the earlier versions like GPT-3.5.
  • Lacks the advanced integration capabilities seen in Gemini Pro, particularly with other services and APIs.
  • Renowned for its detailed and precise responses, but may not be as advanced in certain areas like image interpretation compared to some of Google’s AI tools.
  • Continues to be a significant player in the AI landscape, with wide-ranging applications.

General Observations:

  • The AI industry is rapidly evolving with new models from different tech giants.
  • Google’s AI models (including Gemini Pro) are challenging established models like GPT-4.
  • The integration of AI into digital platforms aims to enhance user experience and content personalization.
  • AI models, despite advancements, still have limitations in areas like image generation and context understanding.
  • The role of AI in digital interactions and industry practices is increasingly significant.

However, it’s important to recognize that AI models still have their limitations, particularly in the area of image generation. While they can create impressive visuals, they sometimes miss the mark on context and can inadvertently reinforce biases. This is a reminder that AI has not yet reached a point where it can completely replace human creativity and judgment.

The debate around whether AI will replace traditional search engines or serve as a complementary tool is ongoing and is shaping how we experience the internet. More and more, AI is being viewed as a valuable partner, capable of improving search results with its speed and accuracy.

The influence of AI on our daily digital interactions is becoming more and more apparent. If you’re intrigued by the capabilities of AI models like Bard, Gemini Pro, and Gemini Ultra, and want to stay informed about the latest trends and insights in AI, engaging with this content is a great way to do so. As you continue to explore the evolving role of AI in the digital world, your understanding of its impact will only deepen.

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GPT-4 vs GPT-4-Turbo vs GPT-3.5-Turbo performance comparison

GPT-4 vs GPT-4-Turbo vs GPT-3.5-Turbo speed and performance tested

Picking the right OpenAI language model for your project can be crucial when it comes to performance, costs and implementation. OpenAI’s suite, which includes the likes of GPT-3.5, GPT-4, and their respective Turbo versions, offers a spectrum of capabilities that can greatly affect the outcome of your application and the strain on your budget. This GPT-4 vs GPT-4-Turbo vs GPT-3.5-Turbo guide provides an overview of what you can expect from the performance of each and the speeds of response.

The cutting-edge API access provided by OpenAI to its language models, such as the sophisticated GPT-4 and its Turbo variant, comes with the advantage of larger context windows. This feature allows for more complex and nuanced interactions. However, the cost of using these models, which is calculated based on the number of tokens used, can accumulate quickly, making it a significant factor in your project’s financial considerations.

To make a well-informed choice, it’s important to consider the size of the context window and the processing speed of the models. The Turbo models, in particular, are designed for rapid processing, which is crucial for applications where time is of the essence.

GPT-4 vs GPT-4-Turbo vs GPT-3.5-Turbo

When you conduct a comparative analysis, you’ll observe differences in response times and output sizes between the models. For instance, a smaller output size can lead to improved response times, which might make GPT-3.5 Turbo a more attractive option for applications that prioritize speed.

Evaluating models based on their response rate, or words per second, provides insight into how quickly they can generate text. This is particularly important for applications that need instant text generation.

 

The rate at which tokens are consumed during interactions is another key factor to keep in mind. More advanced models, while offering superior capabilities, tend to use up more tokens with each interaction, potentially leading to increased costs. For example, the advanced features of GPT-4 come with a higher token price tag than those of GPT-3.5.

Testing the models is an essential step to accurately assess their performance. By using tools such as Python and the Lang chain library, you can benchmark the models to determine their response times and the size of their outputs. It’s important to remember that these metrics can be affected by external factors, such as server performance and network latency.

Quick overview of the different AI models from OpenAI

GPT-4

  • Model Size: Larger than GPT-3.5, offering more advanced capabilities in terms of understanding and generating human-like text.
  • Capabilities: Enhanced understanding of nuanced text, more accurate and contextually aware responses.
  • Performance: Generally more reliable in producing coherent and contextually relevant text across a wide range of topics.
  • Use Cases: Ideal for complex tasks requiring in-depth responses, detailed explanations, and creative content generation.
  • Response Time: Potentially slower due to the larger model size and complexity.
  • Resource Intensity: Higher computational requirements due to its size and complexity.

GPT-4-Turbo

  • Model Size: Based on GPT-4, but optimized for faster response times.
  • Capabilities: Retains most of the advanced capabilities of GPT-4 but is optimized for speed and efficiency.
  • Performance: Offers a balance between the advanced capabilities of GPT-4 and the need for quicker responses.
  • Use Cases: Suitable for applications where response time is critical, such as chatbots, interactive applications, and real-time assistance.
  • Response Time: Faster than standard GPT-4, optimized for quick interactions.
  • Resource Intensity: Lower than GPT-4, due to optimizations for efficiency.

GPT-3.5-Turbo

  • Model Size: Based on GPT-3.5, smaller than GPT-4, optimized for speed.
  • Capabilities: Good understanding and generation of human-like text, but less nuanced compared to GPT-4.
  • Performance: Efficient in providing coherent and relevant responses, but may not handle highly complex or nuanced queries as well as GPT-4.
  • Use Cases: Ideal for applications requiring fast responses but not the full depth of GPT-4’s capabilities, like standard customer service chatbots.
  • Response Time: Fastest among the three, prioritizing speed.
  • Resource Intensity: Least resource-intensive, due to smaller model size and focus on speed.

Common Features

  • Multimodal Capabilities: All versions can process and generate text-based responses, but their capabilities in handling multimodal inputs and outputs may vary.
  • Customizability: All can be fine-tuned or adapted to specific tasks or domains, with varying degrees of complexity and effectiveness.
  • Scalability: Each version can be scaled for different applications, though the cost and efficiency will vary based on the model’s size and complexity.
  • API Access: Accessible via OpenAI’s API, with differences in API call structure and cost-efficiency based on the model.

Summary

  • GPT-4 offers the most advanced capabilities but at the cost of response time and resource intensity.
  • GPT-4-Turbo balances advanced capabilities with faster response times, suitable for interactive applications.
  • GPT-3.5-Turbo prioritizes speed and efficiency, making it ideal for applications where quick, reliable responses are needed but with less complexity than GPT-4.

Choosing the right model involves finding a balance between the need for speed, cost-efficiency, and the quality of the output. If your application requires quick responses and you’re mindful of costs, GPT-3.5 Turbo could be the best fit. On the other hand, for more complex tasks that require a broader context, investing in GPT-4 or its Turbo version might be the right move. Through careful assessment of your application’s requirements and by testing each model’s performance, you can select a solution that strikes the right balance between speed, cost, and the ability to handle advanced functionalities.

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Simply NUC Onyx powerful small form factor PC performance tests

Simply NUC Onyx many PC performance tests

Following on from our hands-on review of the Simply NUC Onyx mini PC ETA Prime has carried out a few performance tests and created in interesting video providing an overview of what the small form factor PC is capable of. Despite its small stature, the Simply NUC Onyx is built to perform.

It’s equipped with a processor that boasts 14 cores and 20 threads, making it a breeze to handle everything from photo editing to video processing. And when it comes to everyday tasks like browsing the internet, this Mini PC does so with remarkable speed and efficiency.

Storage is often a concern with smaller PCs, but not with the Simply NUC Onyx. It offers up to 16TB of storage, ensuring you have ample room for all your files and projects. The device supports both a traditional 2.5-inch drive and a cutting-edge M.2 2280 PCIe Gen 4 NVMe SSD. This flexibility allows you to tailor your storage to your specific needs. And with up to 96GB of DDR5 RAM, multitasking is smoother than ever.

Simply NUC Onyx performance

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Connectivity is key in today’s tech landscape, and the Simply NUC Onyx doesn’t disappoint. It’s outfitted with a range of ports, including USB 2.0, USB 3.2, HDMI, 2.5 GB Ethernet, and even USB 4 ports. This means you can connect all your essential devices directly to the Mini PC without the need for additional adapters. Plus, the onboard Intel Iris Xe graphics deliver crisp visuals for 4K content and light gaming.

Wireless technology is also top-notch in the Simply NUC Onyx, with Wi-Fi 6E and Bluetooth 5.2 providing fast and reliable connections. The Mini PC runs on Windows 11, offering a modern and secure environment for all your computing needs.

Onyx mini PC

For those who like to keep their tech up-to-date, the Simply NUC Onyx is a dream. It’s designed for easy access to its internal components, making upgrades and maintenance a simple task. This ensures that your Mini PC can evolve with your needs and stay at the forefront of performance.

The Simply NUC Onyx also gives you control over its power and performance. Through the BIOS settings, you can adjust the Mini PC to your preferences, whether you’re looking for energy efficiency or maximum power. It’s been shown to hold its own against larger systems, proving that you don’t need a big tower to get big results.

Gamers haven’t been forgotten either. While the integrated Intel Iris Xe graphics are capable on their own, the Simply NUC Onyx can also connect to an external GPU via USB 4. This expands its capabilities, making it a suitable choice for both work and play.

Energy efficiency is another highlight of the Simply NUC Onyx. It comes with a 12-watt power supply and offers adjustable power modes. This allows you to find the perfect balance between conserving energy and harnessing the full potential of the Mini PC.

The Simply NUC Onyx is a testament to the strides made in compact computing. It combines a formidable CPU, extensive storage, and flexible connectivity in a package that’s perfect for those who value a clutter-free workspace. Whether you’re a professional in need of a capable machine or someone looking for a powerful home computing solution, the Simply NUC Onyx is worth your attention. It’s a small device that’s big on possibilities, ready to tackle whatever you throw its way.

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Improve DaVinci Resolve’s performance significantly using an external SSD

Speed up Resolve editing significantly using an external SSD

If you have been using Resolve, as a filmmaker, you know the importance of a smooth editing process, especially when it comes to playback. There’s nothing more frustrating than dealing with choppy footage when you’re trying to perfect your project. You might think that the only solutions are either to invest in a pricey new computer or to constantly juggle files on your internal storage. But there’s a third option that could make a big difference in your workflow: using an external SSD for caching. This method can significantly boost your playback speed in DaVinci Resolve, and it’s easier to set up than you might think.

Make your workflow smoother and more responsive

When you’re editing high-resolution video, your computer’s internal storage can fill up fast. This can slow down DaVinci Resolve’s caching system, which is designed to make playback faster by temporarily storing video files for quick access. If your internal drive is full, the caching system can’t do its job properly, and you’ll notice a drop in playback performance.

You might consider upgrading your computer’s hardware to improve playback speed, but that can be expensive. On the other hand, managing your disk space by deleting files and optimizing storage is time-consuming and needs to be done regularly. It’s a constant balancing act between having enough space for caching to ensure smooth playback and maintaining enough storage capacity for everything else.

Using an external SSD with DaVinciResolve 18

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If you’re someone who works on multiple computers, relying on internal storage for caching can be even more problematic. Each computer will have different storage capacities and performance levels, which can interrupt your editing flow and slow you down.

That’s where an external SSD comes in. These drives are faster and more reliable than traditional mechanical hard drives, and they’re more affordable than buying a new computer. By using an external SSD for caching, you can give your playback speed a serious boost without breaking the bank.

Configuration and settings

Setting up DaVinci Resolve to use an external SSD for caching is simple. First, connect your external SSD to your computer. Then, open DaVinci Resolve and go to the “Preferences” menu. In the “Media Storage” section, add your external SSD as a location for cache files. Finally, set this new location as the default for your current project. It’s that easy!

Once you’ve configured your external SSD as the cache location, DaVinci Resolve will start saving proxy files, optimized media, and render cache files to the SSD. This means that the software can access these files quickly during editing, leading to smoother playback.

It’s also a good idea to set the external SSD as the default cache location for new projects in Resolve. This way, all cache files will automatically be saved to the SSD, freeing up your internal storage for other uses.

If you run into any issues, like an error message saying the SSD isn’t connected, make sure the drive is properly plugged in and recognized by your computer. Once you’ve fixed the connection, the error should go away.

And if you’re looking to expand your filmmaking tools, keep an eye out for a limited-time discount on a comprehensive filmmaking bundle. It’s a great opportunity to get more gear at a great price.

Using an external SSD for caching in DaVinci Resolve is a smart, cost-effective way to improve your playback speed without the need for expensive hardware upgrades. By following the steps outlined here, you can optimize your system for better performance, so you can focus on what you love most: creating amazing films.

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How to Optimize Your Android Phone’s Performance

optimize android phone

Optimizing an Android phone’s performance is a key concern for many users who want to ensure their device runs at its maximum speed. Whether you’re experiencing slow app loading times, laggy transitions, or unresponsive touchscreens, a laggy phone can hinder your productivity and overall enjoyment of your device. While newer Android phones generally offer better performance, even the most powerful devices can succumb to slowdown over time.

Fortunately, there are several effective strategies you can employ to optimize your Android phone’s performance and restore its speed and responsiveness. In this comprehensive guide, we’ll delve into a range of practical tips and techniques to keep your Android phone running smoothly.

Background Processes and Memory Usage

  • Android phones run numerous processes in the background. These can consume memory and processing power, impacting overall speed.
  • Clearing out unnecessary background processes can free up resources.

Software Updates

  • Manufacturers often release updates that improve performance and fix bugs.
  • Keeping your device updated ensures you benefit from these optimizations.

Step-by-Step Optimization

1. Update Your Device

  • Check for system updates in your device’s settings.
  • Install any available updates to benefit from improved performance and security enhancements.

2. Uninstall Unnecessary Apps

  • Remove apps you no longer use. Each app, even when not in use, can take up space and potentially run background processes.
  • To uninstall, go to Settings > Apps and notifications > See all apps. Select the app you want to uninstall and tap ‘Uninstall’.

3. Clear App Cache and Data

  • Over time, apps accumulate cache and data which can slow down the device.
  • To clear, go to Settings > Apps and notifications > See all apps. Select an app, then tap ‘Storage & cache’ and clear both cache and data.

4. Disable or Remove Bloatware

  • Bloatware refers to pre-installed apps that are often unnecessary.
  • Some bloatware can be uninstalled, while others can only be disabled. Disabling prevents them from running and using resources.

5. Optimize Battery Settings

  • Some devices have a battery optimization feature that can extend battery life and improve performance.
  • Navigate to Settings > Battery > Battery optimization.

6. Reduce Animations

  • Animations, while visually pleasing, can slow down your phone.

  • Reduce or turn off animations via Developer options. To enable Developer options, go to Settings > About phone and tap ‘Build number’ seven times.

7. Use Lite Versions of Apps

  • Many popular apps like Facebook and Twitter have ‘Lite’ versions. These consume less resources and are ideal for slower phones.

8. Use Static Wallpapers

  • Live wallpapers consume more resources. Opt for static wallpapers for better performance.

9. Perform Regular Restarts

  • Restarting your device can clear temporary files and free up memory.

10. Factory Reset (Last Resort)

  • If performance is still not improved, consider a factory reset. Back up your data first as this will erase everything on the device.

Maintenance Tips

Regular Updates

  • Regularly check and install app and system updates.

Monitor App Behavior

  • Pay attention to any app that significantly drains battery or slows down the device, and consider alternatives.

Use Performance Monitoring Apps

  • There are apps available that help monitor and optimize your device’s performance.

Avoid Overheating

  • Keep your device cool as overheating can degrade performance and battery health.

Conclusion

Optimizing an Android phone to achieve its highest speed potential is a multifaceted process that encompasses several crucial aspects. Firstly, regular maintenance plays a pivotal role. This includes routinely checking for and installing updates, clearing caches, and managing apps. Timely updates not only bring new features but also include performance improvements and security enhancements. Regularly clearing app caches prevents the accumulation of residual files that can slow down the system.

Secondly, adjusting various settings on the device contributes significantly to its performance. This includes managing background processes, reducing or disabling animations, and tweaking battery optimization settings. These adjustments help in ensuring that the phone uses its resources more efficiently, leading to faster operation and a smoother user experience.

Lastly, being mindful of the apps you install and use is equally important. Some apps are resource-intensive and can bog down your device’s performance. Opting for lighter versions of apps, when available, and being judicious about the number of apps running simultaneously can have a positive impact on the phone’s speed.

By meticulously following these steps and integrating them into your regular phone usage habits, users can markedly enhance their device’s efficiency. This not only improves the overall performance but also elevates the user experience, making interactions with the device more seamless and enjoyable. The combined effect of maintenance, settings optimization, and careful app management ensures that the phone operates at its peak capability, providing swift responses and a more satisfying user experience.

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Apple iMac M3 games emulation performance tested

Apple iMac M3 games emulation tested
Just a few weeks ago on October 30, 2023 Apple announced the launch of its new M3, M3 Pro, and M3 Max Apple Silicon chips. The industry’s first 3-nanometer chips providing next-generation GPU architecture and delivering dramatic performance improvements, together with a a faster CPU and Neural Engine, and support for more unified memory. If you are wondering how the new Apple M3 silicon performs when playing emulated games, you will be pleased to know that ETA Prime has been testing out the new iMac M3 desktop computer with interesting results.

The M3 iMac is powered by an ARM-based chip, marking a significant departure from the traditional x86 architecture. This chip has shown exceptional single-core performance, as validated by Geekbench 6 benchmarks. The CPU performance cores and efficiency cores are 30 percent and 50 percent faster than those in M1, respectively, and the Neural Engine is 60 percent faster than the Neural Engine in the M1 family of chips. And, a new media engine now includes support for AV1 decode, providing more efficient and high-quality video experiences from streaming services.

Apple iMac M3 games emulation

While its multi-core scores may not reach the same heights, they remain competitive, especially when considering the power efficiency of the ARM architecture. One of the most fascinating features of the M3 iMac is its GPU performance. Although it may not compete with the raw power of top-tier dedicated graphics cards, it stands its ground against older cards such as the GTX 1060 and RX 570. This is particularly noteworthy given the optimization of the Metal backend, which boosts the GPU’s efficiency.

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The emulation performance was assessed on a variety of consoles, including the PS2, GameCube, Wii, Wii U, and PS3, using the PCSX2, Dolphin, CEMU, and RPCS3 emulators respectively. The M3 iMac handled these emulators with varying degrees of success. OpenEmu, a comprehensive emulation frontend, was used to manage these emulators. This software provides a user-friendly interface and streamlines the process of setting up controls for different consoles. It is an essential tool for anyone interested in emulation on the M3 iMac.

The emulation of GameCube and Wii on Dolphin produced impressive results. With 5K enhancements activated, games such as Rogue Squadron and F-Zero GX ran flawlessly. PS2 emulation using PCSX2 was also successful, with games like Gran Turismo 4 and God of War II maintaining a steady 60 FPS at 4K resolution.

However, Wii U emulation using CEMU encountered some challenges. While some games, like Bayonetta 2, performed well, others faced issues. PS3 emulation using RPCS3 also had mixed results. Games like Ninja Gaiden Sigma and Tekken 6 ran smoothly, but others like Skate 3 encountered graphical issues.

The M3 family of chips features a next-generation GPU that represents the biggest leap forward in graphics architecture ever for Apple silicon. The GPU is faster and more efficient, and introduces a new technology called Dynamic Caching, while bringing new rendering features like hardware-accelerated ray tracing and mesh shading to Mac for the first time. Rendering speeds are now up to 2.5x faster than on the M1 family of chips.

The M3 iMac shows considerable potential for emulation. Despite some limitations, particularly with more demanding consoles like the Wii U and PS3, the overall performance is commendable. With the potential for future enhancements and the prospect of the M3 chip in other Mac models, the future of emulation on Mac seems bright.

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GPT-4 Turbo 128K context length performance tested

GPT-4 Turbo 128K context length performance tested

Recently, OpenAI unveiled its latest advancement in the realm of artificial intelligence: the GPT-4 Turbo. This new AI model boasts a substantial 128K context length, offering users the ability to process and interact with a much larger swath of information in a single instance. The introduction of GPT-4 Turbo invites a critical question: How well does it actually perform in practical applications?

Before delving into the specifics of GPT-4 Turbo, it’s important to contextualize its place in the lineage of Generative Pretrained Transformers (GPTs). The GPT series has been a cornerstone in the AI field, known for its ability to generate human-like text based on the input it receives. Each iteration of the GPT models has brought enhancements in processing power, complexity, and efficiency, culminating in the latest GPT-4 Turbo.

The 128K context window of GPT-4 Turbo is its most notable feature, representing a massive increase from previous versions. This capability allows the model to consider approximately 300 pages of text at once, providing a broader scope for understanding and generating responses. Additionally, GPT-4 Turbo is designed to be more economical, reducing costs for both input and output tokens significantly compared to its predecessor, the original GPT-4. This cost efficiency, combined with its ability to produce up to 4096 output tokens, makes it a potent tool for extensive text generation tasks.

GPT-4 Turbo 128K context length performance tested

Check out the video below to learn more about the new GPT-4 Turbo 128K context length and its implications and applications.

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However, advancements in technology often come with new challenges. One of the primary issues with GPT-4 Turbo, and indeed many large language models, is the “lost in the middle” phenomenon. This refers to the difficulty these models have in processing information that is neither at the very beginning nor at the end of a given context. While GPT-4 Turbo can handle vast amounts of data, its efficacy in navigating and utilizing information located in the middle of this data is still under scrutiny. Early tests and observations suggest that despite its expanded capabilities, GPT-4 Turbo may still struggle with comprehending and integrating details from the central portions of large data sets.

This challenge is not unique to GPT-4 Turbo. It reflects a broader pattern observed in the field of language modeling. Even with advanced architectures and training methods, many language models exhibit decreased performance when dealing with longer contexts. This suggests that the issue is a fundamental one in the realm of language processing, transcending specific model limitations.

Interestingly, the solution to this problem might not lie in continually increasing the context window size. The relationship between the size of the context window and the accuracy of information retrieval is complex and not always linear. In some cases, smaller context windows can yield more accurate and relevant outputs. This counterintuitive finding underscores the intricacies of language processing and the need for careful calibration of model parameters based on the specific application.

As the AI community continues to explore and refine models like GPT-4 Turbo, the focus remains on improving their ability to handle extensive contexts effectively. The journey of GPT models is characterized by continuous learning and adaptation, with each version bringing us closer to more sophisticated and nuanced language processing capabilities.

For those considering integrating GPT-4 Turbo into their workflows or products, it’s crucial to weigh its impressive capabilities against its current limitations. The model’s expanded context window and cost efficiency make it a compelling choice for a variety of applications, but understanding how it performs with different types and lengths of data is key to making the most out of its advanced features. GPT-4 Turbo represents a significant stride in the ongoing evolution of language models. Its expanded context window and cost efficiency are remarkable, but as with any technology, it’s essential to approach its use with a clear understanding of both its strengths and areas for improvement.

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PS5 PlayStation Portal unboxing and performance tested

PS5 PlayStation Portal unboxing and performance tested

Gaming enthusiasts, get ready to experience a new dimension of play with the PS5 PlayStation Portal, the latest innovation in handheld gaming. This cutting-edge device combines the formidable power of the PlayStation 5 console with the portability of handheld gaming, transforming the way you interact with your favorite games and is priced at $199  or £199 depending on your location.

The heart of the PlayStation Portal’s allure lies in its novel combination of a DualSense 5 controller and an 8-inch LCD screen, which together allow you to stream PS5 games directly via your home Wi-Fi network. This integration not only offers unmatched convenience but also ensures that your gaming experiences are as vivid and immersive as possible, thanks to the 1080p resolution screen and DualSense features like haptic feedback and adaptive triggers.

As you delve into the specifics, the PlayStation Portal stands out with its unique features. The device is a true handheld games console, designed specifically for streaming PlayStation 5 games. The 8-inch screen brings your games to life with stunning 1080p resolution, and the integration of the DualSense 5 controller provides a familiar and comfortable gaming experience, enhanced by innovative haptic feedback. The addition of a touchscreen introduces a new layer of interactivity, while stereo speakers, a 3.5 mm audio jack, and a built-in microphone ensure a comprehensive audio experience. Although the battery life is around 4 hours at full brightness, it should suffice for most gaming sessions.

PlayStation Portal unboxing

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Ease of use is a key factor in the PlayStation Portal’s design. Its user-friendly interface ensures a hassle-free setup, allowing you to quickly immerse yourself in your gaming world. The Android-based system of the Portal hints at the potential for various customizations and enhancements, suggesting that its functionality could extend beyond streaming PS5 games in the future.

When compared to other devices like the Steam Deck, the PlayStation Portal holds its ground with its focus on PS5 gaming. While it may lack certain features such as a DualSense 5 touchpad, it compensates with its responsive touchscreen and familiar button layout. However, it’s important to keep in mind the device’s input latency and battery life, particularly if you tend to have extended gaming sessions.

PlayStation 5 Portal handheld

One area ripe for development in the PlayStation Portal is its cloud gaming capability. Currently, the device relies on a PS5 to access PlayStation Plus cloud gaming. Independent access to this service would greatly enhance its appeal, offering more versatility for gamers who enjoy exploring different platforms.

The PlayStation Portal represents a significant step forward in handheld gaming, offering a unique blend of console-grade performance and handheld flexibility. As you explore and share your experiences with this device, you become an integral part of the gaming community’s journey towards innovative and immersive gaming experiences. The PlayStation Portal not only enhances your PlayStation experience but also invites you to be part of the exciting evolution of gaming technology. For more information jump over to the official Sony online store and PlayStation website.

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BMW M Performance cars get new centre lock wheels

BMW M Performance

BMW has announced that it is launching some new center lock wheels for its range of BMW M Performance vehicles and they will be available for the BMW M2, BMW M3, and BMW M4, these new wheels are designed to enhance the car’s dynamic driving experience.

The retrofit products from the BMW M Performance Parts program not only enhance numerous current BMW models but also provide an additional touch of motorsport feeling to the high-performance sports cars of the BMW M GmbH. Among the particularly notable examples of technology transferred directly from the racetrack to the road are the centrelock wheels, available for selected high-performance automobiles. Design and functionality make these lightweight forged wheels absolute highlights in the diverse range of BMW M Performance Parts.

BMW M Performance

With their optimized weight, emotionally charged design, and technology adapted from motorsport connecting to the wheel bearing, the centrelock wheels emphasize the high-performance-oriented character of the vehicles equipped with them. In the case of the special edition BMW 3.0 CSL, presented on the occasion of the 50th anniversary of BMW M GmbH and sold in a limited edition of 50 units, they are part of the specifically tuned racetrack performance chassis technology. Currently, BMW M Performance centrelock wheels are offered in the Original BMW Accessories program for the BMW M2 (combined fuel consumption: 9.9 – 9.6 l/100 km; combined CO2 emissions: 223 – 218 g/km according to WLTP), the BMW M3 Touring Competition with M xDrive (combined fuel consumption: 10.4 – 10.1 l/100 km; combined CO2 emissions: 235 – 229 g/km according to WLTP), as well as for all model variants of the BMW M3 Sedan, BMW M4 Coupe, and BMW M4 Convertible.

You can find out more information about these new BMW center lock wheels for the range of BMW M Performance vehicles over at BMW at the link below, they are available in a range of sizes depending on the model.

Source BMW

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Synology DSM 7.2.1 features updated Active Insight and new performance metrics

Synology DSM 7 operating system

Synology has announced the release of its DSM 7.2.1 operating system, an upgraded version of the Active Insight cloud service, and a new performance evaluation tool. These updates are designed to bolster resilience against potential threats and streamline the deployment process for customers and partners, enhancing their overall experience.

The DSM 7.2.1 update is a significant step forward in Synology’s ongoing commitment to data protection and system resilience. This isn’t just a minor update, but a major enhancement that boosts the ability to backup, replicate, and fully restore Synology systems. It caters to both on-site and cloud-based destinations, offering a comprehensive solution. The update introduces WORM (Write Once, Read Many) folders and immutable snapshots, innovative features that ensure data integrity and simplify compliance with record-keeping requirements, making it a valuable tool for businesses.

Synology DSM 7.2.1

The upgraded Active Insight cloud service is another key part of Synology’s enhanced offering. It’s more than just a service; it’s a 24/7 File Activity monitor, providing continuous oversight of your data and systems to ensure their safety and integrity. This service introduces automated responses to suspicious file activities, enhancing the detection and response to ransomware attacks. The update also simplifies the user interface and customer-delegation process, making it easier to manage your data and systems.

Synology’s new performance evaluation tool is a valuable resource for businesses. The company has updated its performance evaluation webpage to help businesses make accurate sizing decisions. The revamped page offers comprehensive benchmarks and performance metrics covering various aspects, including SMB (Server Message Block), iSCSI (Internet Small Computer Systems Interface), NFS (Network File System), IO (Input/Output) latency, and performance data for MailPlus, Office, and Surveillance Station. This tool is designed to provide businesses with the insights they need to make informed decisions.

These updates and enhancements are part of Synology’s ongoing commitment to providing robust, reliable, and user-friendly solutions for data management and protection. By continually improving its operating system, cloud service, and performance evaluation tools, Synology is helping businesses to better manage their data, improve system performance, and enhance their resilience against threats.

In conclusion, the DSM 7.2.1 update, the upgraded Active Insight cloud service, and the new performance evaluation tool represent significant advancements in Synology’s offerings. These enhancements provide businesses with the tools they need to protect their data, improve system performance, and make informed decisions about their data management and system deployment. Synology’s commitment to innovation and improvement is evident in these updates, and they are a testament to the company’s dedication to providing reliable and effective solutions for data management and protection.

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