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Automate your vacuuming and mopping with $400 off the Roomba Combo J9+

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If you’re looking to automate more of your home cleaning setup, iRobot’s flagship Roomba Combo J9+ is on sale for $400 off. The vacuum-mop hybrid robot, which only arrived last fall, has a redesigned dock that automatically empties debris and refills the device’s mopping liquid. Usually $1,399, Wellbots has the Roomba Combo J9+ for $999 with coupon code ENGA400.

iRobot

The Combo J9+, Engadget’s pick for the best vacuuming-mopping robot, has an upgraded motor and four-stage cleaning system that takes multiple pass-throughs across your carpets and floors. This version also adds dual rubber brushes for better suction and pressurized scrubbing. Its motor automatically lifts the mop pads when it reaches carpets and rugs to help keep them dry.

The robot requires minimal setup, and its new Clean Base can automatically refill the water tank, leaving you with fewer things to worry about. The base doubles as a storage unit and appearing less like a gadget’s charging station and more like living room furniture. Setup is as simple as adding water and cleaning solution to a reservoir and attaching a mop pad. Upkeep is limited to swapping mop pads and leaning the vacuum’s bristles and dust bin.

The Combo J9+ ships with Roomba’s OS 7, a new software update that streamlines more of the cleaning process. Its Dirt Detective feature remembers your home’s dirtiest areas and tackles those first on subsequent cleanings.

The software has an automated setting that saves bathrooms for last, so you don’t have to worry about tracking grime and bacteria to other parts of your home. (You can manually override that if you want it to get to the bathroom earlier.) Speaking of bathrooms, the machine includes iRobot’s Pet Owner Official Promise (P.O.O.P.), which guarantees a replacement unit if your device accidentally sweeps up pet waste.

Product marketing image for the iRobot Roomba J9+. The robot vacuum sits in its cleaning station against a white background.Product marketing image for the iRobot Roomba J9+. The robot vacuum sits in its cleaning station against a white background.

iRobot

For those who don’t mop much, Wellbots also has the standard Roomba J9+ for $300 off ($599) when you use code ENGA300. It includes all the vacuum-related features from the more expensive Combo variant, including a three-stage cleaning system, multi-surface rubber brushes and stronger suction.

Finally, the previous-generation Roomba Combo j7+ offers an older (but still high-end) vacuum-mop cleaning robot for $200 off with coupon code ENGA200. Although you lose some of the features of the newer model, it still has a 96.4 percent debris removal rate, obstacle avoidance, and a four-stage cleaning system. Its cleaning toolbox includes an edge-sweeping brush, dual multi-surface rubber brushes, power-lifting suction and the mop. The device can even return to its base when it’s full and continue emptying itself for up to 60 days, leaving you to focus on things that aren’t cleaning.

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How to combine and fully automate custom GPT AI models

How to automate and combine different custom GPT

With the launch of the highly anticipated OpenAI custom GPT store happening later this month you might be wondering how you can fully automate these custom AI models. Removing the need for you to sit in front of your computer and manually type in actions to each custom GPT manually. Luckily there are plenty of automation platforms already available such as Make, Zapier and others that allow you to easily create autonomous workflows without the need to know anything about coding. Simply connect different applications and custom GPT models together to create your perfect activity workflow removing the mundane tasks from your life. Allowing you to concentrate on the more important aspects.

Imagine a world where your daily tasks are handled automatically, where your productivity soars as repetitive work is done without your constant attention. This is the promise of integrating a custom Generative Pre-trained Transformer (GPT) with Zapier, a powerful tool that can take your workflow to new heights of efficiency. This article will guide you through the steps to make this integration a reality, turning your custom GPT into an indispensable ally in your work routine.

In today’s fast-paced work environment, the ability to streamline operations and reduce manual labor is more important than ever. A custom GPT, also known as your “Script Assistant,” can be the answer to this need. By automating routine tasks, you can minimize errors and free up time to concentrate on more strategic work that requires your unique expertise.

Automate custom GPT AI models

To begin, you’ll need to develop a custom GPT tailored to your specific needs. This involves programming it with the knowledge and commands that are relevant to your tasks. Once you have your custom GPT ready, the next step is to integrate it with Zapier, a versatile platform that connects over 6,000 apps, allowing for a wide range of automation possibilities.

Here are some other articles you may find of interest on the subject of automations using the Zapier platform:

Zapier acts as the hub of your automation setup. It’s the bridge that connects your custom GPTs with other applications you use daily, such as Google Docs and email services. This connectivity is what turns your “Script Assistant” into a dynamic force that can handle tasks with precision and speed.

Setting up automations in Zapier is a straightforward process. For example, you can automate the transfer of data from your custom GPT to Google Docs. This ensures that scripts and documents are organized and stored systematically. Additionally, you can set up notifications to keep your team informed when new content is generated, ready for review, or published.

However, it’s not enough to just set up these automations. You must ensure they work as intended. Testing your setup is a critical step to confirm that your custom GPT and Zapier actions are functioning together harmoniously. While these tools are powerful, they may still encounter issues, especially since they could be in development stages. But don’t worry, there’s a robust community of users and experts ready to help you troubleshoot any problems that arise.

By integrating a custom GPT with Zapier, you’re not just automating tasks; you’re reshaping the way you work. This integration allows you to create a “Script Assistant,” link it with essential apps, and set up automations that enhance your workflow. With this system in place, you’re well-equipped to tackle the challenges of automation and stay ahead in a competitive landscape.

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Automate your Instagram account using AI to build your brand

how to use AI to Automate your Instagram feed

In the fast-paced world of social media, keeping your Instagram feed lively and engaging is a must for any business owner or content creator. But let’s face it, the demands of running a business can make it tough to post consistently. That’s where the magic of AI and automation tools like Zapier come in. They can help you keep your Instagram account buzzing with activity, without it taking over your life. Let’s dive into how you can make these tools work for you, so your Instagram page stays fresh and your followers stay hooked.

Imagine setting up your Instagram posts to go live at the perfect times for your audience, and all this happening while you’re focusing on other tasks. By planning your content in advance, you can use technology to automate your posting schedule. This approach ensures that your brand remains visible and your followers always have something new to enjoy.

Zapier, in particular, is a fantastic ally when it comes to automation and scheduling. You can set it up to post your content at specific times, which is incredibly helpful if you’re juggling multiple accounts or want to post outside of regular business hours. This method not only automates but also streamlines your process and helps you keep a consistent posting rhythm for followers to enjoy.

How to use AI to automate your Instagram feed

When you’re trying to reach a global audience, you have to think about the different time zones they’re in. It’s important to post when your followers are most likely to be online. Thankfully, Zapier’s scheduling tool can adjust for time zone differences, making sure your content appears at the best possible time.

Here are some other articles you may find of interest on the subject of AI automations using no code system such as Zapier :

On Instagram, visuals are everything. Your posts need to stand out and grab attention. This is where AI can lend a hand. Tools like ChatGPT can help you come up with creative ideas for images, and OpenAI’s DALL-E 3 can turn those ideas into eye-catching visuals. Together, they ensure that your posts are not just regular but also visually stunning.

But it’s not just about the images. The description of your post is your chance to really connect with your followers. ChatGPT can help you craft engaging captions, complete with relevant hashtags and calls to action. A well-written description can elevate a simple post into something that resonates with your audience.

To get started with automation, you’ll need an Instagram Business account that’s linked to a Facebook page. This setup allows you to use tools like Zapier to publish content directly to Instagram, streamlining your social media management.

One of the best things about this kind of automation is that it’s all wireless. You can manage your Instagram account from almost anywhere, without being tied down to a desk. This flexibility is priceless, especially if you’re always on the move or have team members who work remotely.

By embracing AI and Zapier for your Instagram strategy, you can save precious time while keeping your feed engaging. With smart scheduling, time zone adjustments, quality visuals, and meaningful descriptions, you can build an Instagram presence that captures your audience’s attention. The secret to successful automation is a mix of thoughtful planning and savvy tech use. With the tips from this guide, you’re ready to take your Instagram game to the next level for your business or personal brand.

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Using AI to automate customer service workflows

Using AI to automate customer service workflows

Businesses considering integrating artificial intelligence into their customer service workflows might be interested in a new video created by IBM. During which Manish Goyal, a Senior Partner at IBM Consulting, discusses the application of AI analytics and automation in customer service to improve customer experiences. He emphasizes the importance of staying ahead of customer expectations and the potential of generative AI to revolutionize customer service operations.

Imagine reaching out for help and encountering a service that not only addresses your concerns quickly but also anticipates your needs before you articulate them. This is the promise of artificial intelligence (AI) in customer service, a field that is rapidly evolving to meet the high expectations of customers like you. Goyal is at the forefront of this shift, advocating for the integration of AI analytics and automation to elevate your experience and ensure your satisfaction.

AI analytics dives deep into vast amounts of data to uncover insights that lead to smarter, more proactive, and personalized services. This is crucial in today’s market, where a single negative experience could drive customers to competitors. The post-pandemic world has seen a surge in the demand for efficient, uninterrupted service. Tools such as Interactive Voice Response (IVR), agent assist, and chatbots have become more sophisticated, thanks to generative AI, which enables them to understand and address a wider range of customer inquiries with greater accuracy.

AI customer service automation and delivery

Here are some other articles you may find of interest on the subject of AI workflow automation :

Generative AI is making waves in customer service by enhancing self-service options, supporting human agents, and streamlining operations. Virtual agents and chatbots, now powered by generative AI, can handle more customer questions, providing quick solutions without the need for human intervention. AI also assists customer service representatives by accelerating access to information and problem-solving, leading to faster and more effective resolutions for you. Additionally, AI’s analysis of call transcripts and automation of post-call documentation work optimizes operations and reduces the burden on human agents.

The adoption of generative AI in customer service is not just about enhancing your experience; it also makes economic sense. These technologies can automate routine tasks and improve operational efficiency, resulting in significant cost savings and a strong return on investment.

Your interactions with businesses are no longer limited to a single platform. You expect to move seamlessly between phone, email, social media, and live chat. AI plays a crucial role in ensuring these omnichannel exchanges are smooth and consistent, providing you with a hassle-free service journey.

For businesses to excel in channel coordination, they must follow a strategic blueprint that includes outlining the desired customer experience, understanding customer demographics and preferences, identifying service channels, selecting the right tools and platforms, and designing the customer journey to deliver the planned experience.

The collaboration between IBM and the US Veterans Affairs (VA) is a shining example of the power of analytics and automation. By integrating these technologies, the VA improved the processing of benefit claims for veterans, demonstrating the real-world benefits of AI in enhancing lives.

As AI innovation continues to accelerate, it is crucial for businesses to incorporate generative AI into their customer service frameworks. This integration not only improves the customer experience but also ensures that companies remain competitive in a dynamic marketplace.

AI analytics and automation are transforming customer service. By adopting these advancements, you can enjoy faster, more accurate, and personalized support, which may increase customer loyalty and satisfaction. Businesses that recognize and capitalize on this shift will be well-positioned to thrive in the changing landscape of customer service.

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How to use AI tools to automate your Instagram accounts

How to use AI to automate your Instagram accounts

If you are interested in harnessing the power of AI to help automate the management of your Instagram page. This AI Instagram automation guide will provide details on how you can start generating AI-created images, creating image-specific captions, and scheduling posts. Allowing AI to simplify your Instagram management, saving you time and resources while improving your social media presence at the same time.

Automating an Instagram page involves several steps, starting with the creation of AI-generated images. OpenAI, a prominent AI research lab, offers AI models and services that can be used for this purpose. One of their notable models, DallE 3, can generate images from text descriptions and is now integrated into OpenAI’s ChatGPT AI model.

Instagram AI automation

This feature allows individuals and businesses to create unique and engaging content for their Instagram pages without requiring a dedicated graphic designer. This not only cuts costs but also enables a more efficient content creation process, enabling you to craft more exciting and engaging social media posts yourself. Rather than having to rely on third-party designers and the hassle of any communication which can sometimes lose the finer details of a brief.

Other articles you may find of interest on the subject of AI automation and improving workflows :

Creating Image-Specific Captions with AI

The next step in the automation process is creating image-specific captions. This is where the Generative Pretrained Transformer (GPT) comes in. GPT is an AI model that generates text similar to human writing. By using GPT, businesses can create engaging and relevant captions for their Instagram posts, further improving their social media presence. This AI-driven approach to caption creation ensures that the content remains fresh, relevant, and engaging, thereby attracting more followers and increasing engagement rates.

Scheduling Instagram Posts for Consistency

After the images and captions are prepared, the next step in the AI Instagram automation  process is scheduling the posts. This is where Zapier, a tool that connects and automates tasks between different apps, comes in. By linking Instagram to Zapier, businesses can schedule their posts to be published at specific times each day. This ensures consistency in posting, which is crucial for maintaining an active and engaging Instagram page. Regular posting not only keeps the audience engaged but also helps in building a loyal follower base.

Beyond Scheduling: Zapier Automation

Zapier automation extends beyond just scheduling posts. With the help of the Formatter by Zapier, businesses can format their text, dates, and other types of data to suit their specific needs. Moreover, Zapier allows businesses to connect their Instagram Business Account to their Facebook Page, providing a seamless integration between the two platforms. This integration simplifies the social media management process, making it easier for businesses to maintain a consistent brand image across different platforms. Here are a few other guides on how to use the Zapier automation service :

Testing the Automation Process for Efficiency

Before fully implementing the automation process, it is essential to test it to ensure it functions correctly. This involves using the API Key, a code used to identify the calling program, its developer, or its user to the website. By testing the automation process, businesses can identify and rectify any issues, ensuring a smooth and efficient automation process. This step is crucial in ensuring that the automation process is error-free and efficient, thereby maximizing the benefits of AI automation.

Enhancing Engagement through Automation

The automation process also involves improving engagement on the Instagram page. This can be achieved by adding hashtags to captions, which helps to categorize posts and make them more discoverable. Additionally, including calls to action in captions can encourage followers to engage with the posts, further boosting the page’s visibility and engagement. These strategies, when combined with AI automation, can significantly improve the overall performance of an Instagram page.

The Future of AI Instagram Automation

Only this week OpenAI has released more features, products and services all powered by its AI models allowing even more workflows to be created. ThisAI automation offers potential for streamlining Instagram management as well as other areas your your life or business. By using tools like Zapier, OpenAI, and GPTs, businesses and individual brands can automate their Instagram pages, saving time and resources while improving their social media presence. As AI technology continues to develop, it is anticipated that more advanced automation techniques will emerge, further enhancing the way businesses manage their social media platforms. This development of AI in social media management signifies a new era of efficiency and effectiveness, offering potential benefits for businesses in the digital age.

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Pinokio AI virtual computer, easily install, run, automate any AI app

Pinokio AI virtual computer makes it easy to automate any AI app

Setting up and running the wealth of artificial intelligence applications, models and tools available can take considerable time. however one tool called Pinokio has been specifically designed to let you install, run and automate any AI application or model with a single click. Allowing you to enjoy using the AI rather than the setup process.

The process of installing, running, and controlling these AI engines can be a daunting task. Pinokio is basically an autonomous virtual computer that simplifies this process by automating command line processes and enabling users to create and share scripts with a single click. “Just like a web browser, Pinokio doesn’t do anything on its own, but will become more and more useful as people build and share apps, workflows, and APIs around it.

Pinokio is a browser that lets you install, run, and automate any AI applications and models automatically and effortlessly. No more opening the terminal. No more git clone. No more conda install. No more pip install. No more messing with execution environments.

The beauty of Pinokio lies in its simplicity. It eliminates the need for opening the terminal, cloning git, installing conda, pip, or dealing with complex execution environments. All these tasks are automated with a single click, making it as user-friendly as a browser. In essence, anything a human can do on a computer, Pinokio can do automatically.

AI applications often require users to open a terminal and enter commands, and sometimes deal with complex environment and installation settings. With Pinokio, all these tasks can be packaged into a simple JSON script, which can then be run in a browser setting with just one click.

How to use Pinokio

Pinokio’s capabilities extend beyond just running commands. It can compose and download files, accumulate data, install libraries and other applications, run shell commands, make network requests, publish files, and browse the internet. Essentially, it can perform pretty much anything a human can do on a computer, without requiring human intervention.

Other articles you may find of interest on the subject of AI automation :

 

One of the key features of Pinokio is its open-source nature. It is 100% open source and free, encouraging a community of developers to contribute to its growth and refinement. This not only ensures the tool remains updated with the latest advancements but also fosters a collaborative environment where innovation thrives.

Pinokio AI virtual computer

Running a server on a computer is not a straightforward task. It requires opening a terminal, running a series of commands to start the server, and keeping the terminal open to keep them running. Pinokio simplifies this process by autonomously reading, writing, processing, and executing anything on your computer, all with a simple scripting language.

Moreover, Pinokio is not limited to a specific operating system. It works seamlessly on Windows, Mac, and Linux, making it a versatile tool for any user. Furthermore, it supports networking, file systems, memory management, data structure, shell execution, and task scheduling, making it a comprehensive solution for managing AI engines.

Now anyone can run powerful server based apps on their own computer, effotlessly:

  • Database Systems: Elasticsearch, MongoDB, RocksDB, Vector Databases, etc.
  • Decentralized Applications: Bitcoin, IPFS, etc.
  • AI Servers: StableDiffusion Web UI, Gradio, Langchain apps, etc.
  • Web apps: Any web apps, really, can be run in the Pinokio browser.
  • Bots: Spin up bots that run in the background, in the Pinokio browser, with one click.

Pinokio is an application that can autonomously read, write, process, and execute anything on your computer, with a simple scripting language. Pinokio can:

  • compose files
  • download files
  • accumulate data
  • install libraries and other applications
  • run shell commands
  • make network requests
  • publish files
  • browse the internet
  • and more.

Pinokio is a game-changer in the world of AI applications. It simplifies the installation and control of AI engines, automates command line processes, and allows the creation and sharing of scripts – all with a single click. As AI continues to evolve, tools like Pinokio will become increasingly invaluable, making complex tasks simpler and more accessible to a wider audience. For more information jump over to the official website or read the comprehensive documentation to get started.

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15+ E-commerce AI tools to boost and automate your business

E-commerce AI tools to boost and automate your business

The e-commerce industry has seen a significant transformation over the past few years, largely due to the integration of artificial intelligence (AI) tools. These tools have not only streamlined operations but also enhanced customer experience, leading to a boost in online sales. This guide will provide more information into the various AI tools that can be utilized to enhance e-commerce tasks and how they can be used to improve and automate your e-commerce business in a number of different ways.

One of the most significant ways AI tools can enhance e-commerce businesses is by creating and enhancing product images. High-quality, appealing product images are crucial in the e-commerce industry as they can significantly influence a customer’s purchasing decision. AI tools such as Adobe Sensei use machine learning algorithms to automatically enhance product images, improving their quality and appeal. These tools can adjust lighting, remove backgrounds, and even add 3D effects, making the product more attractive to potential customers. Other AI art generation tools such as Midjourney, Stable diffusion in the new OpenAI DallE 3 can also be used to create lifestyle images to help enhance your products and website further.

AI Tools for e-commerce automation

In addition to enhancing product images, and website images, AI tools can also be used to create personalized content. AI assistants like Jasper can generate product descriptions, blog posts, and social media content tailored to your target audience. This not only saves time but also ensures that the content is optimized for search engines, increasing visibility and driving more traffic to your e-commerce site.

More ideas on how you can improve your e-commerce business by harnessing the power of AI check out the video kindly created by Brainstorm Force to learn about 10 more AI tools for e-commerce

You may also be interested in learning more about using AI to automate workflows saving you time and money.

Amazing product images

AI tools can also be used for background alteration in product images. Tools like remove.bg use AI to automatically remove the background from product images, allowing you to showcase your products in a more professional and appealing manner. This can be particularly useful for e-commerce businesses that sell products on multiple platforms, as it allows for a consistent look across all platforms.

Product video creation

Image and video editing is another area where AI tools can be incredibly beneficial. AI suites like Luminar AI and Adobe Premiere Pro use AI to automate the editing process, making it easier and faster to create high-quality images and videos. These tools can adjust lighting, color, and composition, and even add special effects, allowing you to create professional-quality content with minimal effort.

Video creation and editing is another area where AI tools can be incredibly beneficial. Tools like Magisto and Adobe Premiere Rush use AI to automate the video creation and editing process, making it easier and faster to create high-quality videos. These tools can adjust lighting, color, and composition, and even add special effects, allowing you to create professional-quality videos with minimal effort.

Personalized advertising

AI tools can also be used to create personalized videos for customers. Tools like Vidyard and Wibbitz use AI to create personalized videos based on customer data, providing a unique and engaging shopping experience. These videos can be used for product recommendations, tutorials, or even thank you messages, adding a personal touch to your e-commerce business.

Customer service

Customer service is another area where AI tools can be incredibly beneficial. AI chatbots like LivePerson and Drift can handle customer inquiries, provide product recommendations, and even generate leads. These chatbots can operate 24/7, providing instant responses and improving customer satisfaction.

Data collection

Data collection and analysis is crucial in the e-commerce industry, and AI tools can significantly streamline this process. Tools like Google Analytics and Kissmetrics use AI to collect and analyze customer data, providing insights into customer behavior and preferences. This data can be used to optimize your e-commerce site, personalize content, and make data-driven decisions.

AI tools can also be used to create and optimize ad creatives. Tools like AdEspresso and ReFUEL4 use AI to test different ad variations, identify the best-performing ones, and optimize your ad campaigns. This not only improves ad performance but also reduces ad spend, increasing your return on investment.

Finally, AI tools can be used for note-taking and data import. Tools like Notion, Zapier, Made and others use AI to automate these tasks, saving time and reducing the risk of errors. These tools can be particularly useful for e-commerce businesses that handle large amounts of data, as they can streamline workflows and improve efficiency.

AI tools can significantly enhance e-commerce operations, improving product ranking, enhancing product images, automating workflows, and boosting online sales. By integrating these tools into your e-commerce business, you can not only streamline operations but also provide a better shopping experience for your customers, ultimately leading to increased sales and growth.

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How to automate fine tuning ChatGPT 3.5 Turbo

How to automate fine tuning ChatGPT 3.5 Turbo

The advent of AI and machine learning has transform the wide variety of different areas, including the field of natural language processing. One of the most significant advancements in this area is the development and release of ChatGPT 3.5 Turbo, a language model developed by OpenAI. In this guide will delve into the process of automating the fine-tuning of GPT 3.5 Turbo for function calling using Python, with a particular focus on the use of the Llama Index.

OpenAI has announced the availability of fine-tuning for its GPT-3.5 Turbo model back in August 2023, with support for GPT-4 expected to be released this fall. This new feature allows developers to customize language models to better suit their specific needs, offering enhanced performance and functionality. Notably, early tests have shown that a fine-tuned version of GPT-3.5 Turbo can match or even outperform the base GPT-4 model in specialized tasks. In terms of data privacy, OpenAI ensures that all data sent to and from the fine-tuning API remains the property of the customer. This means that the data is not used by OpenAI or any other organization to train other models.

One of the key advantages of fine-tuning is improved steerability. Developers can make the model follow specific instructions more effectively. For example, the model can be fine-tuned to always respond in a particular language, such as German, when prompted to do so. Another benefit is the consistency in output formatting, which is essential for applications that require a specific response format, like code completion or generating API calls. Developers can fine-tune the model to reliably generate high-quality JSON snippets based on user prompts.

How to automate fine tuning ChatGPT

The automation of fine-tuning GPT 3.5 Turbo involves a series of steps, starting with the generation of data classes and examples. This process is tailored to the user’s specific use case, ensuring that the resulting function description and fine-tuned model are fit for purpose. The generation of data classes and examples is facilitated by a Python file, which forms the first part of a six-file sequence.

Fine-tuning also allows for greater customization in terms of the tone of the model’s output, enabling it to better align with a business’s unique brand identity. In addition to these performance improvements, fine-tuning also brings efficiency gains. For instance, businesses can reduce the size of their prompts without losing out on performance. The fine-tuned GPT-3.5 Turbo models can handle up to 4k tokens, which is double the capacity of previous fine-tuned models. This increased capacity has the potential to significantly speed up API calls and reduce costs.

Other articles you may find of interest on the subject of ChatGPT 3.5 Turbo :

The second file in the sequence leverages the Llama Index, a powerful tool that automates several processes. The Llama Index generates a fine-tuning dataset based on the list produced by the first file. This dataset is crucial for the subsequent fine-tuning of the GPT 3.5 Turbo model. The next step in the sequence extracts the function definition from the generated examples. This step is vital for making calls to the fine-tuned model. Without the function definition, the model would not be able to process queries effectively.

The process then again utilizes the Llama Index, this time to fine-tune the GPT 3.5 Turbo model using the generated dataset. The fine-tuning process can be monitored from the Python development environment or from the OpenAI Playground, providing users with flexibility and control over the process.

Fine tuning ChatGPT 3.5 Turbo

Once the model has been fine-tuned, it can be used to make regular calls to GPT-4, provided the function definition is included in the call. This capability allows the model to be used in a wide range of applications, from answering complex queries to generating human-like text.

The code files for this project are available on the presenter’s Patreon page, providing users with the resources they need to automate the fine-tuning of GPT 3.5 Turbo for their specific use cases. The presenter’s website also offers a wealth of information, with a comprehensive library of videos that can be browsed and searched for additional guidance.

Fine-tuning is most effective when integrated with other techniques such as prompt engineering, information retrieval, and function calling. OpenAI has also indicated that it will extend support for fine-tuning with function calling and a 16k-token version of GPT-3.5 Turbo later this fall. Overall, the fine-tuning update for GPT-3.5 Turbo offers a versatile and robust set of features for developers seeking to tailor the model for specialized tasks. With the upcoming capability to fine-tune GPT-4 models, the scope for creating highly customized and efficient language models is set to expand even further.

The automation of fine-tuning GPT 3.5 Turbo for function calling using Python and the Llama Index is a complex but achievable process. By generating data classes and examples tailored to the user’s use case, leveraging the Llama Index to automate processes, and carefully extracting function definitions, users can create a fine-tuned model capable of making regular calls to GPT-4. This process, while intricate, offers significant benefits, enabling users to harness the power of GPT 3.5 Turbo for a wide range of applications.

Further articles you may find of interest on fine tuning large language models :

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How to use ChatGPT 4 to fully automate your content creation

Using ChatGPT-4 to automate content creation for social media workflows

If you would like to harness the power of OpenAI’s ChatGPT to help automate your content creation and social media workflow this quick guide will take you through a process created by Michael Borman. Who has kindly shared insight into how he created a ChatGPT-4 powered system that uses AI tools and combines them with services such as Make, Airtable, Google sheets, WordPress and more.

The process of content creation and posting for personal or business use has become a critical aspect of online presence. However, this process can be time-consuming and expensive, especially when it involves posting content to major platforms such as Medium, WordPress, Twitter, and LinkedIn. The good news is that advancements in technology, particularly in the field of artificial intelligence (AI), have made it possible to automate this process, thereby saving time and resources. This article will delve into how AI tools can be used to fully automate your content creation and social media workflow.

The first step in automating content creation involves the use of AI for research. A state-of-the-art AI agent can be used to conduct research on a variety of topics, ensuring that the content stays fresh and up-to-date. This AI agent can be hosted on platforms like Make, which also initiates the automation process by creating a new row in Airtable, a cloud-based software that stores all content and links to posts.

Automated ChatGPT content creation

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The AI agent then grabs a topic from a Google Sheets document containing over 100 different content topics. This is a crucial step as it allows for a wide range of topics to be covered, thereby ensuring that the content remains diverse and engaging. Once the topic has been selected, the AI agent conducts research and returns a condensed set of information from multiple web pages. This information forms the basis of the content to be created.

How to use ChatGPT for content creation

The next step involves the use of Generative Pre-trained Transformer 4 (GPT-4), a language prediction model, for blog generation. A series of ChatGPT-4 calls are used to generate the blog post, including the title, schema, slug, and tags. This process ensures that the content is not only informative but also well-structured and SEO-friendly.

Once the content has been created, it is then posted to WordPress, with summaries posted on LinkedIn, Medium, and Twitter. This multi-platform approach ensures that the content reaches a wide audience, thereby increasing its visibility and impact. The URLs of these posts are then sent back to Airtable for future reference.

In addition to text, images also play a crucial role in content creation. The system incorporates a mid-journey API to automate the image generation process. This API generates images for the blog, which are then stored back into Airtable. This ensures that the content is not only informative but also visually appealing.

Fully automated social media workflow

The automation process also includes a review and confirmation process before posting. This is a crucial step as it ensures that the content is error-free and meets the required standards. Tools like Zapier and Make can be used for this purpose, allowing for partial automation of the review process.

The system can be set to run automatically, generating new content daily. It can also be set to run multiple times a day, generating multiple blog posts. This flexibility allows for a steady stream of fresh content, which is crucial for maintaining an active online presence.

The use of AI tools for automating content creation and social media workflow can be a game-changer for businesses and individuals alike. It not only saves time and resources but also ensures that the content is diverse, engaging, and up-to-date. With tools like Zapier, Make, Airtable, Google Sheets, and OpenAI’s GPT-4, the process of content creation and posting can be fully automated, allowing you to focus on other important aspects of your business or personal life.

Image Credit : Airtable

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