In yesterday's video, I, Ben Mellor, discussed how OpenAI released a groundbreaking GPT Builder. But that's not all they released. They also introduced a new GPT 4 Turbo model. Today, I will be sharing what Sam Alman has to say about this new model.
GPT 4 Turbo was designed to handle tasks that require a significantly longer context length. It supports up to 128,000 tokens of context, which is equivalent to 300 pages of a standard book. This is a game-changer, especially considering that it is 16 times longer than our 8K context. Sam, being one of the experts at OpenAI, confirms that GPT 4 Turbo is their most advanced model yet. It not only offers a 128k context window but also has knowledge of world events up to April 2023. Additionally, it has significantly improved function calling abilities and can generate content at a remarkably fast pace.
Now, let me introduce you to Code Companion AI, a personal coding assistant. You might be wondering why I'm showcasing another coding assistant. Well, the reason behind it is that Code Companion AI has integrated the new GPT 4 Turbo model in its application. This integration allows you to code smarter and faster. With Code Companion AI, you can make use of the new 128k context window and access up-to-date information from code libraries. This is a game-changer because many other coding assistant apps have not yet implemented the new GPT 4 Turbo model.
Throughout today's video, we will delve deeper into the functionalities of Code Companion AI and explore its capabilities. We will also discuss how you can install and utilize this powerful tool. I want to take a moment to mention that we have a growing community on Patreon's private Discord server. If you are interested, I encourage you to check it out as we offer valuable AI subscriptions, consulting services, networking opportunities, and much more. We are truly evolving in the world of AI. Don't forget to follow World of AI on Twitter, subscribe to our channel, turn on notifications, like this video, and explore our previous content. If you would like to book a one-on-one session with me for consulting services, please check the link in the description below.
Hello, everyone! Welcome back to another YouTube video at World of AI. Today, I am thrilled to showcase another coding assistant called Code Companion AI. This powerful coding assistant is revolutionizing the deployment process and offers a wide range of features similar to other AI coding assistants. It can read, write, update code, execute terminal commands, and provide output readings. Moreover, it allows you to conduct natural language searches across your entire code base and retrieve up-to-date information from the web. But what sets Code Companion AI apart is its integration with the new GPT 4 Turbo model.
This model takes Code Companion AI to the next level and surpasses many other AI coding assistants in the market. Code Companion AI positions itself as a versatile solution that can create various types of applications from scratch or collaborate on existing code bases. With Code Companion AI, you can develop intricate and advanced applications and models. Let me walk you through the installation process and demonstrate how you can harness the power of GPT 4 Turbo.
To begin, let's explore some of the exceptional features that Code Companion AI offers. One of the standout features is the ability to run terminal commands and read the output directly within the application. This streamlines the coding process and makes it more efficient. Additionally, you can use natural language searches to explore your uploaded codebase and access up-to-date information from the web. The conversational feature of Code Companion AI allows you to autonomously run different code completion tasks or customize and modify them while conversing with the AI agents.
I must highlight the multilingual feature of Code Companion AI, which enables you to work with various programming languages, operating systems, platforms, frameworks, and even understand different human languages. Furthermore, Code Companion AI ensures the security of your data. Everything is stored locally on your desktop, and no third-party can access it, except for OpenAI's API. Your data, database, and code are never sent to any backend server or third party, providing you with peace of mind.
Now, let's dive into the installation process. Depending on your operating system, choose the option that fits best for you. If you have a Windows processor, like myself, click on the download for Windows button. This will take you to the launcher installation page. Simply double click on the installer to begin the setup process. If prompted, trust the application, and let it load. It should only take a few seconds. Once completed, you can start exploring the capabilities of Code Companion AI.
But before we proceed, it's important to input your OpenAI API key. To do this, go to the setup tab and click on settings. Input your API key and remember to save the changes. You can also customize the theme to your preference, whether it's light or dark. Additionally, you can edit the index for code searching based on your needs. Now that everything is set up, you can upload your project or select different models. The GPT 3.5 model is available for free and can be used right away. You have the option to operate Code Companion AI autonomously or engage in conversations with it. You can download your chats and history, providing you with easy access to previous conversations.
That's it for Code Companion AI. It is a powerful coding assistant that harnesses the capabilities of the new GPT 4 Turbo model. If you haven't already, I highly recommend checking it out. It will assist you in various aspects of code completion and executing different code tasks efficiently. Thank you for watching, and don't forget to explore the links in the description for more information about this project, our YouTube page, Patreon, and scheduling one-on-one sessions with me. Have a fantastic day, and I'll see you soon. Peace out!
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Frequently Asked Questions
1. What is the context length supported by the GPT 4 Turbo model?
The GPT 4 Turbo model supports up to 128,000 tokens of context, which is equivalent to 300 pages of a standard book.
2. What is the advantage of using Code Companion AI with the GPT 4 Turbo model?
Using Code Companion AI with the GPT 4 Turbo model allows you to code smarter and faster by utilizing its 128k context window and up-to-date information with code libraries.
3. How does Code Companion streamline the installation process using GPT 4 Turbo?
Code Companion makes the installation process fast and efficient by utilizing the GPT 4 Turbo model's capabilities. It can generate code quickly and utilizes the 128k context length to output code generation. It also allows for customization and modifications during the installation process.
4. What are the key features of Code Companion?
Code Companion offers features such as the ability to read, write, update, and execute code, execute terminal commands, conduct natural language searches across the entire codebase, retrieve up-to-date information from the web, and autonomously generate different applications using conversational AI.
5. How can I install and use Code Companion?
To install and use Code Companion, you can download the installer, input your open AI API key, and configure the settings. You can then upload your project, select the desired model (such as GPT 4 Turbo), and start utilizing the features of Code Companion for code completion and execution tasks.
It's crazy expensive to use GPT4 / GTP4-TURBO APIs + I often have to keep telling it to fix stuff and it just tried the same useless solutions every time and I of course get charged every time it fails. Open source models are the way to go. This currently doesn't make much sense money wise. Alternatively, use the regular GPT chat if you don't need to install new python libs, need to auto run etc…
Great video! By the way, does anyone know if there's a free alternative to codecompanion that offers similar functionalities with free models?
CodeCompanion is incredible. It was making the python Snake game better and better until it was fully functional like a Professionally made game.
I've made a pong game was tweaking it. They came out great but my usage went to $5.92 quick. : (
Very good content, but the tune is a little bit sleepy. Is it a kind of old tts model?
Code Companion AI with GPT-4 Turbo is the coding assistant we've all been waiting for!
You plan on adding join button on YT?
Really interesting software, but very unfortunate that there is no possibility for local models :/
1:30 where does it use up-to-date code libraries? Can it understand and use my personal built libraries?
You can use the new turbo model with aider as well.
This content is a breath of fresh air. More positivity, please!
Cursor is better
can Open AI absorb our app ideas though through the use of their API?
No linux??
It's amazing. I think it's one of the best.