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Redmagic 9 Pro mobile gaming performance tested

Redmagic 9 Pro phone gaming performance

In the world of gaming smartphones, a new contender has this week been released in the form of the Redmagic 9 Pro. The new phone has been specifically designed to provide users with an exceptional mobile gaming experience, rivaling that of traditional gaming consoles. With its advanced features and powerful hardware, is this smartphone is poised to become a favorite among those who take their mobile gaming seriously? You will be pleased to know that ETA Prime has wasted no time putting the new phone through its paces playing a number of games providing a good overview of what you can expect from the phones performance when enjoying a little mobile gaming.

At the heart of the Redmagic 9 Pro’s impressive performance lies the Snapdragon 8 Gen 3 processor, a piece of technology that ensures games run with the utmost fluidity and responsiveness. This is complemented by a range of models that cater to different needs, with the top-of-the-line version offering a generous 16 GB of RAM and a vast 512 GB of storage. Such specifications mean that not only will your games load quickly, but you’ll also have ample space for all your favorite apps and media.

Redmagic 9 Pro performance

Features of the phone for mobile gaming include :

– Snapdragon 8 Gen 3 processor
– Variants with up to 16 GB RAM and 512 GB storage
– 6.8-inch BOE Q9+ display with 120Hz refresh rate
– Under-screen front-facing camera
– 520Hz shoulder triggers and dual 3D speakers
– 50-megapixel main camera
– 6,500mAh battery with 80W charging
– Android 14 with Redmagic UI
– Console mode for gaming on larger screens
– Built-in cooling fan and performance modes

The gaming experience is further enhanced by the phone’s 6.8-inch BOE Q9+ display, which boasts a 120Hz refresh rate for smooth and clear motion. The screen’s peak brightness of 1,600 nits ensures that whether you’re indoors or out, your games will look their best. The Redmagic 9 Pro also features an under-screen front-facing camera, which allows for an uninterrupted full-screen experience, a significant advantage for immersive gaming.

Redmagic 9 Pro gaming performance

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For gamers who demand precision, the Redmagic 9 Pro’s 520Hz shoulder triggers provide tactile feedback that can give you the edge in competitive play. The phone’s dual 3D speakers create an immersive audio environment, adding depth to your gaming sessions. And while the focus may be on gaming, the Redmagic 9 Pro doesn’t skimp on other features, boasting a 50-megapixel main camera that ensures it stands up as a versatile smartphone for all your photography needs.

Battery life is crucial for gaming on the go, and the Redmagic 9 Pro delivers with a 6,500mAh battery and 80W fast charging capability, which means you spend less time tethered to an outlet and more time in the game. The device runs on Android 14 with Redmagic UI, which offers a clean and intuitive interface with additional features designed to enhance your gaming experience.

To keep performance at its peak, even during the most demanding games, the Redmagic 9 Pro is equipped with advanced cooling technology and specialized performance modes like the Diablo mode. These ensure that the phone remains cool and responsive, no matter how intense the action gets.

The Redmagic 9 Pro also offers customizable gaming plugins and performance settings, allowing you to fine-tune your gaming experience to your preferences. The phone’s design is both stylish and functional, with a squared-off, candy bar shape that provides a comfortable and secure grip during extended gaming sessions.

For those who are passionate about mobile gaming, the Redmagic 9 Pro is a device that offers a comprehensive suite of features that cater to the needs of serious gamers. With its powerful processor, high-refresh-rate display, and dedicated gaming enhancements, it excels as a device that can handle the rigors of modern mobile games. Whether you’re playing at home or on the move, the Redmagic 9 Pro is designed to provide a superior gaming experience, while also serving as a capable everyday smartphone.

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Gemini Pro vs GPT-3.5 vs GPT-4

Gemini Pro vs GPT-3.5 vs GPT-4

The world of artificial intelligence is evolving at an impressive pace, with new models emerging that are capable of performing a wide array of tasks. One of the  more recent releases has been made by Google in the form of its new Gemini artificial intelligence. Google’s Gemini Pro is now directly competing with the likes of OpenAI’s GPT-3.5 and GPT-4 which are also leading the field in AI, each offering a suite of features that cater to different needs.

Google’s Gemini Pro features multimodal capabilities similar to that of ChatGPT, which allow it to understand and generate responses based on both text and images. This unique feature opens up a world of possibilities for more dynamic interactions and applications, distinguishing it from other AI models that are limited to text-only inputs.

On the other hand, OpenAI’s GPT-3.5 and GPT-4 are making a name for themselves in the realm of natural language processing together with the enhancements added by the release of ChatGPT-4 Vision and DallE 3. These models have significantly enhanced the way chatbots and customer support systems operate by providing conversations that are remarkably similar to those with a human. Their ability to understand and generate text has transformed the way we interact with machines.

A standout feature of both Gemini Pro and the GPT models is their streamed responses. This allows for a conversational flow that is both natural and immediate, which is essential for creating engaging and seamless user experiences. Whether it’s for casual conversation or more complex customer service inquiries, this feature is a key factor in the success of AI-driven interactions.

Gemini Pro vs GPT-3.5 vs GPT-4

If you are interested in learning more about the differences between the three major AI models currently battling it out for supremacy. You might be interested in an interesting comparison created by Tina Huang.

Here are some other articles you may find of interest on the subject of Google Gemini :

When it comes to embedding services in tasks like semantic search and text classification, these AI models are powerful tools. They can be seamlessly integrated into existing systems, enhancing their capabilities in language understanding and generation. This demonstrates the advanced potential of these AI technologies.

However, it’s important to be aware of certain limitations and requirements associated with these models, such as input token limits. These constraints can impact the complexity of the interactions and the depth of content that can be generated, which is an important consideration when choosing the right AI model for a specific task.

The performance of Gemini Pro, GPT-3.5, and GPT-4 varies depending on the task at hand. For instance, Gemini Pro excels in tasks that involve images, thanks to its multimodal nature. Meanwhile, GPT-3.5 and GPT-4 are more adept at handling text-based challenges, such as storytelling, search, and humor. While each model has its strengths and weaknesses, here’s a comprehensive overview of how they stack up against each other:

Gemini Pro

Gemini Pro, developed by Google AI, is a LLM that aims to address the limitations of previous generations of language models. It boasts a significant improvement in fluency and coherence, particularly in generating long-form text formats like essays, poems, and scripts. Additionally, Gemini Pro demonstrates enhanced creativity and ability to produce novel and original text formats, making it a valuable tool for creative writing and content creation.

One of the unique features of Gemini Pro is its ability to integrate with Google Maps, providing location-based responses. This is particularly useful for applications that require geographical context, offering a level of specificity that text-only models cannot match.

GPT-3.5

GPT-3.5, the latest iteration of OpenAI’s GPT-3 series, represents a significant leap forward in language processing capabilities. It introduces several improvements, including better semantic understanding, more nuanced responses, and enhanced ability to engage in open-ended conversations. GPT-3.5 also excels in tasks involving factual knowledge and reasoning, making it a powerful tool for research and information retrieval.

GPT-4

GPT-4, developed by OpenAI, is the most advanced LLM to date. It introduces a novel architecture that allows for deeper language understanding and more context-aware responses. GPT-4 demonstrates exceptional performance in tasks like summarization, translation, and code generation, setting a new benchmark for LLM capabilities.

As we compare Gemini Pro, GPT-3.5, and GPT-4, it becomes clear that the AI landscape is diverse, with each model carving out its own niche. Whether you’re looking for an AI that can handle both text and images or one that specializes in crafting engaging narratives, there’s a model designed to meet those specific needs. As these technologies continue to develop, they are set to unlock new possibilities and redefine the boundaries of AI’s capabilities.

Each of these LLMs offers unique strengths and capabilities. Gemini Pro excels in fluency, creativity, and originality, making it a great choice for creative writing and content creation. GPT-3.5 shines in factual knowledge, reasoning, and open-ended conversations, making it ideal for research and information gathering. GPT-4 stands at the pinnacle of language processing technology, offering exceptional performance across a wide range of tasks.

The choice between these LLMs depends on the specific needs and preferences of the user. For creative endeavors, Gemini Pro might be the preferred choice. For tasks involving factual knowledge and reasoning, GPT-3.5 could be more suitable. And for those seeking the ultimate in language processing capabilities, GPT-4 is the clear frontrunner.

Ultimately, all three LLMs represent significant advancements in artificial intelligence and are poised to revolutionize the way we interact with language and technology. As these models continue to evolve, we can expect even more impressive capabilities and applications in the years to come.

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Arduino Pro welcomes new System Integrators Partner : Patti Engineering

Arduino Pro welcomes new System Integrators Partner Patti Engineering

It has been announced this week that Arduino Pro has teamed up with Patti Engineering to enhance the digital transformation of manufacturing processes. This collaboration is a key component of the Arduino Pro System Integrators Partnership Program, which is designed to incorporate Arduino technologies into professional projects, thereby elevating manufacturing productivity and quality.

Manufacturers are currently navigating the shift towards Industry 4.0, a movement characterized by the integration of digital technologies into all areas of business. With the guidance of Patti Engineering, manufacturers can leverage the expertise of both companies to implement cutting-edge digital solutions that streamline production and improve operational efficiency. This partnership is poised to assist manufacturers in adopting advanced technologies that are essential for staying competitive in today’s fast-paced market.

Industry 4.0 is transforming the way companies manufacture, improve and distribute their products. Manufacturers are integrating new technologies, including Internet of Things (IoT), cloud computing and analytics, and AI and machine learning into their production facilities and throughout their operations.

One of the key areas of focus for this partnership is the enhancement of production lines through the use of robotics. Patti Engineering’s proficiency in robotics is expected to lead to more efficient and reliable manufacturing operations. By integrating robotic systems, manufacturers can look forward to increased productivity and consistent product quality, which are critical factors for success in the industry.

Arduino Pro

Another crucial aspect of modern manufacturing is the control system that governs automated processes. Patti Engineering brings a wealth of experience in working with top manufacturers to optimize production through sophisticated control systems. The collaboration with Arduino Pro will provide tailored solutions that align with the specific needs of manufacturers, enhancing control and flexibility in their operations.

The issue of material visibility and tracking is also addressed through this partnership. Misplaced materials can result in significant costs for manufacturers. Patti Engineering’s asset tracking solutions offer improved visibility and traceability of materials throughout the production process. By employing the latest technologies, manufacturers can ensure accuracy and accountability, which are vital for maintaining high standards of production.

Patti Engineering

The strategic alliance between Arduino Pro and Patti Engineering is a concerted effort to drive innovation and technological advancement in the manufacturing sector. This collaboration is set to unlock new possibilities and establish benchmarks for manufacturing excellence. It represents a commitment to fostering a culture of innovation that can propel the industry forward.

“We believe that Patti Engineering’s wealth of experience and proficiency in Industry 4.0, robotics, control systems integration, and asset tracking will bring unparalleled value to our community,” Paul Kaeley, Strategic Sales Advisor to Arduino commented. “Together, we look forward to pushing the boundaries of what is possible and driving innovation in the world of technology and manufacturing.”

Furthermore, the expansion of the Arduino Pro System Integrators Partnership Program through the inclusion of Patti Engineering not only extends Arduino Pro’s reach but also reinforces its commitment to enabling the professional community to utilize technology for sophisticated and advanced applications. This program is a testament to Arduino Pro’s dedication to the professional application of its technologies across various projects.

The partnership between Arduino Pro and Patti Engineering marks a critical step towards achieving comprehensive Industry 4.0 capabilities for manufacturers. By drawing on the combined expertise of these leaders in technology and engineering, manufacturers are well-positioned to benefit from the ongoing evolution of the industry. The future of manufacturing is being shaped by increased connectivity, efficiency, and innovation, and this partnership is at the forefront of that transformation.

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Combine Gemini Pro AI with LangChain to create a mini RAG sys

Combine Gemini Pro AI with LangChain to create a mini RAG system

In the rapidly evolving world of language processing, the integration of advanced tools like Gemini Pro with LangChain is a significant step forward for those looking to enhance their language model capabilities. This guide is crafted for individuals with a semi-technical background who are eager to explore the synergy between these two powerful platforms. With your Google AI studio API key at hand and recently made available by Google for its new Gemini AI.  We will explore a process that will take your language models to new heights.

LangChain is a robust and versatile toolkit for building advanced applications that leverage the capabilities of language models. It focuses on enhancing context awareness and reasoning abilities, backed by a suite of libraries, templates, and tools, making it a valuable resource for a wide array of applications.

LangChain represents a sophisticated framework aimed at developing applications powered by language models, with a strong emphasis on creating systems that are both context-aware and capable of reasoning. This functionality allows these applications to connect with various sources of context, such as prompt instructions, examples, and specific content. This connection enables the language model to ground its responses in the provided context, enhancing the relevance and accuracy of its output.

The framework is underpinned by several critical components. The LangChain Libraries, available in Python and JavaScript, form the core, offering interfaces and integrations for a multitude of components. These libraries facilitate the creation of chains and agents by providing a basic runtime for combining these elements. Moreover, they include out-of-the-box implementations that are ready for use in diverse applications.

Accompanying these libraries are the LangChain Templates, which constitute a collection of reference architectures. These templates are designed for easy deployment and cater to a broad spectrum of tasks, thereby offering developers a solid starting point for their specific application needs. Another integral part of the framework is LangServe, a library that enables the deployment of LangChain chains as a REST API. This feature allows for the creation of web services that enable other applications to interact with LangChain-based systems over the internet using standard web protocols.

The framework includes LangSmith, a comprehensive developer platform. LangSmith provides an array of tools for debugging, testing, evaluating, and monitoring chains built on any language model framework. Its design ensures seamless integration with LangChain, streamlining the development process for developers.

To kick things off, you’ll need to install the LangChain Google gen AI package. This is a straightforward task: simply download the package and follow the installation instructions carefully. Once installed, it’s crucial to configure your environment to integrate the Gemini Pro language model. Proper configuration ensures that LangChain and Gemini Pro work seamlessly together, setting the stage for a successful partnership.

After setting up Gemini Pro with LangChain, you can start to build basic chains. These are sequences of language tasks that Gemini Pro will execute in order. Additionally, you’ll be introduced to creating a mini Retrieval-Augmented Generation (RAG) system. This system enhances Gemini Pro’s output by incorporating relevant information from external sources, which significantly improves the intelligence of your language model.

Combining Gemini Pro and LangChain

The guide below by Sam Witteveen takes you through the development of Program-Aided Language (PAL) chains. These chains allow for more complex interactions and tasks. With Gemini Pro, you’ll learn how to construct these advanced PAL chains, which expand the possibilities of what you can accomplish with language processing.

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LangChain isn’t limited to text; it can handle multimodal inputs, such as images. This part of the guide will show you how to process these different types of inputs, thus widening the functionality of your language model through Gemini Pro’s versatile nature.

A critical aspect of using Google AI studio is the management of API keys. This guide will walk you through obtaining and setting up these keys. Having the correct access is essential to take full advantage of the features that Gemini Pro and LangChain have to offer.

Finally, the guide will demonstrate the practical applications of your integrated system. Whether you’re using Gemini Pro alone or in conjunction with other models in the Gemini series, the applications are vast. Your LangChain projects, ranging from language translation to content creation, will benefit greatly from the advanced capabilities of Gemini Pro.

By following this guide and tutorial kindly created by Sam Witteveen , you will have a robust system that leverages the strengths of Gemini Pro within LangChain. You’ll be equipped to develop basic chains, mini RAG systems, PAL chains, and manage multimodal inputs. With all the necessary packages and API keys in place, you’re set to undertake sophisticated language processing projects. The details and code jump over to the official GitHub repository.

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How to setup Google Gemini Pro API key and AI model

How to setup Google Gemini Pro API AI model connection - Beginners Guide

As previously announced earlier this month Google made available it’s new Gemini Pro artificial intelligence developers, businesses and individuals to use. If you are interested in creating AI powered applications, automations and services you’ll be pleased to know that the  Gemini Pro API is now available, providing  access to the latest generative models from Google.

The Gemini Pro API is designed to handle both text and image inputs, making it a versatile asset for a wide range of applications and a competitor to the likes of ChatGPT-4  with its multimodal vision, text and image creation models. Whether you’re looking to create interactive chatbots, enhance customer support, or streamline content creation, the Gemini Pro API is engineered to integrate seamlessly into your projects, providing you with the benefits of the latest in AI technology Google has created.

The multimodal capabilities of the Gemini API are what set it apart from any other AI models. Enabling it to analyze and process information in a way that understands the context of the data, whether it’s text or images. For instance, when it comes to content generation, the API can take a snippet of text and expand on it, creating new content that is not only coherent but also contextually relevant. This ensures that the output aligns perfectly with the intended message and resonates with the target audience.

Making Gemini Pro API connections

If you haven’t yet obtained a Google Gemini Pro API key you can do so here. When you use API keys in your Google Cloud Platform (GCP) applications, take care to keep them secure. Never embed API keys into your code, You can find out more about using API keys and best practices over on the Google support website.

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Gemini Pro API  Image requirements for prompts

It’s also worth mentioning that prompts with a single image tend to yield better results so is Google. Prompts that use image data are subject to the following limitations and requirements:

  • Images must be in one of the following image data MIME types:
    • PNG – image/png
    • JPEG – image/jpeg
    • WEBP – image/webp
    • HEIC – image/heic
    • HEIF – image/heif
  • Maximum of 16 individual images
  • Maximum of 4MB for the entire prompt, including images and text
  • No specific limits to the number of pixels in an image; however, larger images are scaled down to fit a maximum resolution of 3072 x 3072 while preserving their original aspect ratio.

Depending on the needs of your project, you can choose from different variations of the Gemini model. The gemini-pro model is tailored for text-based tasks, such as completing text or summarizing information, enhancing these processes with the efficiency of AI. If your project involves both text and visual data, the gemini-pro-vision model is the ideal choice, as it excels at interpreting and combining textual and visual elements.

For projects focused solely on text, configuring the Gemini Pro API is straightforward. Using the gemini-pro model, you can perform tasks like text completion, where the API continues sentences or paragraphs in the same tone and style as the original text. It can also create concise summaries from longer texts, ensuring the essence of the content is preserved.

The Gemini API is not limited to content generation; it shines in creating interactive applications as well. Chatbots, educational tutors, and customer support assistants can all benefit from the API’s streamed response feature, which enables real-time interactions that are both engaging and natural.

Another standout feature of the Gemini API is its embedding service, which is particularly useful for specialized natural language processing (NLP) tasks. This service can enhance semantic search by understanding the deeper meanings of words and improve text classification by accurately categorizing text. Incorporating the embedding service can greatly improve the accuracy and efficiency of your NLP projects.

To start using the Gemini Pro API, you’ll need to follow a few steps. First, you must register for API access on Google’s developer platform. Then, select the model that best fits your project—gemini-pro for text-centric tasks or gemini-pro-vision for projects that involve both text and images. Next, integrate the API into your application by following the provided documentation and using the available SDKs. Customize the API settings to meet the specific requirements of your project, such as the response type and input format. Finally, test the API with sample inputs to ensure it performs as expected and delivers the desired results.

By following these steps, you’ll be able to harness the full potential of the Gemini Pro API. Its sophisticated processing of inputs and nuanced generation of outputs make it an invaluable tool for enhancing the way you interact with and analyze data. With the Gemini Pro API, you’re not just keeping up with the technological curve—you’re positioning yourself at the forefront of AI innovation.

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New Orange Pi 5 Pro ARM mini PC with 32GB

New Orange Pi 5 Pro ARM mini PC with 32GB

The Orange Pi 5 Pro ARM mini PC is a formidable new entry in the single-board computer market. This compact device is designed to meet the needs of developers, hobbyists, and tech enthusiasts who require a powerful computing solution. With an impressive 32GB of LPDDR4X RAM and an 8-core ARM CPU, the Orange Pi 5 Pro is well-equipped to handle demanding applications and complex projects, making it a strong competitor in its field.

At the heart of the Orange Pi 5 Pro is the Rockchip RK3588 CPU, an 8-core processor that strikes a balance between high performance and power efficiency. This is achieved through a combination of four Cortex-A76 cores and four Cortex-A55 cores. The Mali G610 MP4 GPU enhances the CPU, providing the graphical capabilities needed for tasks such as smooth 4K video playback, gaming, and emulation.

Orange Pi 5 Pro SBC

When it comes to storage and connectivity, the Orange Pi 5 Pro offers a range of options. It supports an NVMe SSD, a microSD card, and an eMMC module, which allows for fast data access and reliable boot media. The device’s connectivity features are comprehensive, including triple HDMI ports, dual gigabit Ethernet, USB Type-C, USB 3.0 ports, and 40 GPIO pins for hardware projects. It also includes an integrated IR receiver, a microphone, and a 3.5mm audio jack for additional multimedia support.

The Orange Pi 5 Pro is designed with expansion in mind. It includes an M.2 E key slot for Wi-Fi and Bluetooth modules, an eMMC interface, a fan header, and an RTC header. The device supports a variety of Linux distributions and Android, providing flexibility for different applications. The Orange Pi OS Droid, based on Android 12, offers a desktop-like experience with access to Google Play and OTA updates.

ARM mini PC

Orange Pi 5 Pro connections

When compared to competitors like the Raspberry Pi, the Orange Pi 5 Pro stands out with its larger RAM capacity, more powerful CPU, and enhanced I/O capabilities. It is particularly adept at tasks that require significant computing power, such as running sophisticated software or multitasking. While the board supports 4K video and gaming, it is important to note that adding Wi-Fi and Bluetooth functionalities requires an additional module.

Orange ARM single board computer

Orange Pi 5 Pro components diagram

The Orange Pi 5 Pro is a high-performance and versatile single-board computer that is particularly appealing to users who need robust hardware capabilities. With its extensive RAM, powerful 8-core CPU, and comprehensive feature set, it is an excellent choice for a wide range of applications, from building a home server to software development, or even creating a media center. The Orange Pi 5 Pro is ready to take on your most challenging projects with ease and is now available to purchase in a range of different memory configurations including 4, 8, 16 and now 32 GB. Here are some other articles you may find of interest on the subject of Orange Pi and SBC systems:

Features of the Orange Pi 5 Pro PC

  • The Orange Pi 5 Plus 16GB features a Rockchip RK3588 processor with eight cores (quad-core A76 and quad-core A55), manufactured using an 8nm process and achieving up to 2.4GHz frequency. It includes a 256GB eMMC module and an ARM Mali-G610 GPU, supporting OpenGL ES1.1/2.0/3.2, OpenCL 2.2, and Vulkan 1.2. Memory options include 4GB, 8GB, or 16GB LPDDR4/4x, with an eMMC flash socket compatible with modules from 16GB to 256GB.
  • The device’s NPU (Neural Processing Unit) supports INT4, INT8, INT16, and FP16 operations, offering up to 6Tops computing power for edge computing in various terminal devices. The Orange Pi 5 Plus is compatible with the Orange Pi OS, as well as Android 12, Debian 11, and Ubuntu 22.04.
  • It boasts multiple connectivity options: two HDMI output ports, one HDMI input port capable of 8K@60P video decoding, two PCIe 2.5G Ethernet interfaces, an M.2 M-Key slot for NVMe SSDs, and an M.2 E-Key slot for Wi-Fi 6/BT modules. It also has 2 USB 3.0, 2 USB 2.0, and 2 Type-C ports (one for power).
  • The Orange Pi 5 Plus is versatile in application, suitable for embedded system development enthusiasts and enterprises developing mini machine vision systems with multiple Ethernet ports. It is designed for high-end applications and can be tailored to various industry needs.
  • As an open-source development board, the Orange Pi can be used to build computers, wireless servers, games, HD video systems, speakers, and more, with support for Android and Scratch, emphasizing its open-source flexibility.

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Lava Yuva 3 Pro smartphone unveiled

Lava Yuva 3 Pro

Lava has added a new Android smartphone to its range with the launch of the new Lava Yuva 3 Pro, the handset comes with a 6.5-inch LCD display that features an HD+ resolution of 1600 x 720 pixels.

The device is powered by an octa-core Unisoc T616 mobile processor and it comes with 8GB of RAM and 128GB of built-in storage, if you need some extra storage, the handset also comes with a microSD card slot.

The handset comes with a 5,000 mAh battery and it features 18W fast charging, it comes with a range of cameras, and there is a single camera on the front and two cameras on the back of the device.

On the front of the handset, there is an 8-megapixel camera for taking selfies and making video calls, on the back of the device there is a 50-megapixel main camera and an unspecified secondary camera.

The handset will be available in a range of colors which include MNedow Purple, Desert Gold, and Forest Viridian, the handset is now available to buy directly from the Lava store for INR 8,999 which is about $108 at the current exchange rate. As yet there are no details on whether the handset will be launched in any more countries.

Source Lava, GSM Arena

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Building custom Gemini Pro AI models with new API

Building custom Gemini Pro AI models with new API

As announced earlier this month Google has now made available its new Gemini artificial intelligence API enabling developers and businesses to create custom Gemini Pro AI models for a wide variety of different applications. The launch of the Gemini API offers the ability for anyone to create innovative tools and apps harnessing the power of Google’s AI. To use the API, you need an API key. You can create a key with one click in Google AI Studio. Google AI Studio creates a new Google Cloud project for each new API key. You also can create an API key in an existing Google Cloud project.

Gemini is not a one-size-fits-all model; it comes in three sizes: Google Gemini Ultra, Pro, and Nano. The Pro version, which is the focus of this article, is now accessible via the Gemini API. This variety allows developers and enterprises to choose the model that best fits their needs and scales with their growth.

One of the major selling points of Gemini Pro is its performance. It outperforms other similarly-sized models on multiple research benchmarks. Additionally, it comes with a 32K context window for text, making it an efficient tool for processing large amounts of text data.

In terms of functionality, Gemini Pro is a powerhouse. It offers features such as function calling, embeddings, semantic retrieval, custom knowledge grounding, and chat functionality. These features make it a versatile tool that can be used in a variety of applications, from chatbots to data analysis tools.

Google Gemini API

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Gemini Pro is not just for English-speaking users. It supports 38 languages across 180+ countries and territories worldwide. This wide language support makes it a global tool that can be used by developers and enterprises all over the world.

The model is designed to accept text as input and generate text as output. However, it’s not limited to just text. A dedicated Gemini Pro Vision multimodal endpoint is also available that accepts text and imagery as input, expanding the range of applications it can be used for.

To make it easier for developers to integrate Gemini Pro into their applications, Google has provided Software Development Kits (SDKs) for the model. These SDKs support a variety of programming languages, including Python, Android (Kotlin), Node.js, Swift, and JavaScript.

To further aid developers in using Gemini Pro, Google has introduced the Google AI Studio. This free web-based developer tool allows developers to quickly develop prompts and get an API key for app development. Additionally, developers can transition from Google AI Studio to Vertex AI for a fully-managed AI platform with full data control and additional Google Cloud features.

While Gemini Pro is currently free to use within certain limits through Google AI Studio, charges will be applicable from early next year. However, the pricing details have not been disclosed at this time.

Google is not stopping at Gemini Pro. The company has plans to launch Gemini Ultra, its largest and most capable model, for highly complex tasks early next year. This future release demonstrates Google’s commitment to continually advancing their AI technology and providing developers and enterprises with the tools they need to stay at the forefront of their industries.

The introduction of the Gemini Pro API is a significant step forward in AI technology. With its advanced features, global language support, and developer-friendly tools, it’s a model that promises to revolutionize the way developers and enterprises use AI. As we look forward to the release of Gemini Ultra, one thing is clear: the future of AI is bright, and Google is leading the way.

Google has created a fantastic get started with Gemini API guide which provides more information on using it with Python, JavaScript, Swift and more. The fastest way to start using Gemini is with Google AI Studio, a web-based tool that lets you prototype and run prompts right in your browser.

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Creative Zen Air Pro and Zen Air Plus headphones launched

Creative Zen Air Pro

Creative has announced the launch of two new wireless headphones, the Creative Zen Air Pro and Zen Air Plus and both models come with Bluetooth 5.3 LE, Active Noise Cancellation (ANC) and up to 33 hours of playback time.

These devices are designed for active lifestyles. The Zen Air Plus, with its IPX4 rating, is resistant to splashes, whereas the Zen Air Pro, with an IPX5 rating, offers enhanced durability. The Zen Air Pro has a remarkable battery life, providing up to 33 hours of playtime, while the Zen Air Plus offers a substantial 32 hours.

They feature Hybrid Active Noise Cancellation and Ambient Mode, enabling users to immerse themselves in music or remain aware of their environment with a simple button press.

Both models have several shared features, but the Zen Air Pro is distinguished by its Ultra-Low Latency Mode. Accessible through the Creative app, this mode aligns audio and video, reducing latency to approximately 20 ms, which greatly improves the experience of watching movies, playing games, and listening to music.

You can find out more details about the new Creative Zen Air Pro and Zen Air Plus headphone over at the Creative website at the link below, pircing starts at £54.99 for the Zen Air Plus and £59.99 for the Zen Air Pro.

Source Creative

Filed Under: Gadgets News, Technology News





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Porsche Design AGON PRO PD49 Gaming Monitor unveiled

Porsche Design AGON PRO PD49

AOC has teamed up with Porsche Design for a new gaming monitor, the Porsche Design AGON PRO PD49 and the monitor features a 49 inch curved display, with a 32:9 aspect ratio and a 240HZ refresh rate.

Porsche Design is again collaborating with AGON by AOC, one of the world’s leading gaming monitor1 and IT accessories brands, to present the Porsche Design | AOC AGON PRO PD49 curved gaming monitor – a combination of award-winning design and technological prowess and a statement of style and performance. Crowned by the “iF Design Award 2023” and the “Red Dot Award: Product Design 2023” and powered by a state-of-the-art QD-OLED panel in a 49″ (124.46 cm) size and 32:9 aspect ratio, the PD49 delivers esports-level performance for high-end competition: 240 Hz refresh rate and 0.03 ms GtG response time.

With a thickness of approximately 5 mm, the PD49 houses a curved, extremely thin QD-OLED panel that stretches over a commanding 49″ display. Its 1800R curvature encompasses the user’s entire field of view. Boasting a breath-taking Double QHD resolution of 5120 × 1440 pixels, it is set to redefine visual experiences. Achieving a peak brightness of 1000 nits and certified with VESA DisplayHDR True Black 400, it showcases radiant visuals, deeply saturated with 1.07 billion colours thanks to its 10-bit colour depth, covering 99% of the DCI-P3 colour range. With exceptional HDR reproduction, the PD49 becomes a window to magnificent game worlds in story-driven, single-player games. With an esports-ready refresh rate of 240 Hz and a performant response time of 0.03 ms Grey-to-Grey (GtG), ghosting becomes a relic of the past. Thanks to the inclusion of Adaptive-Sync for variable refresh rate support, every game sequence flows with tear-free, immersive continuity.

You can find out more information about the new Porsche Design AGON PRO PD49 gaming monitor over at AOC at the link below, the device will be available in the UK for £1,899, more details at the link below.

Source AOC

Filed Under: Displays News, Gaming News, Technology News





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