autopilot VS askai

Thanks for sharing your work! Let’s connect cause it seems we are exploring a similar space. Here’s the project I have been working on: https://github.com/fjrdomingues/autopilot

- https://github.com/fjrdomingues/autopilot/issues/178 (the code is mostly correct, minus a minor change in the package that was updated and gpt doesn't know. It was almost a copy-paste).

Code Autopilot is an AI-powered tool designed to tackle software engineering tasks. It shares similarities with Github Copilot, but with some key distinctions: - It derives context from your entire codebase, enabling it to handle complex tasks spanning multiple files. - It integrates with your Github account to obtain context and respond to issues you open. - The core technology is open-source, from https://github.com/fjrdomingues/autopilot

Consider using autopilot for coding https://github.com/fjrdomingues/autopilot It’s open source In my tests it works with gpt-3.5 but gpt-4 gives much better/reliable answers. Problem is the price difference

The solution I found was to create an agent that summarises all the files in a project and then a sequence of agents that picks the necessary code/folders for a task. That way I was able to provide the required context and then let GPT do its magic. The project is public at: https://github.com/fjrdomingues/autopilot

Check what we are doing in https://github.com/fjrdomingues/autopilot we have multiple use cases were we ask gpt 3.5 to reply in JSON

Link to project: https://github.com/fjrdomingues/autopilot

I developed a too for the same problem but with a slightly different approach: https://github.com/fjrdomingues/autopilot It uses multiple GPT calls to get context on the codebase and when you give it a task it uses the context to understand where to implement the code changes and suggests the code to implement. It would be great to merge the best of both project

After wrestling with it for a bit and eventually giving up, I instead turned to ChatGPT to see if it is smart enough for the task. With my free plan, I asked ChatGPT 3.5 the following:

Go to chat.openai.com and log in

In this tutorial, we will learn how to use Strapi, ChatGPT, and Next.js to build an app that displays recipes using AI.

Maybe I am bit dim, but how one can choose GPT-4 Turbo? Is this available from https://chat.openai.com/ ?

With the rise of ChatGPT, Bard Gemini, GitHub Copilot, Devin, and other AI tools1, developers started to fear that AI tooling would replace them. Even though their capabilities are indeed impressive, I don't fear our jobs will go away in 2024.

To illustrate the core concepts of ML and regression analysis, we’ll start with a simple model. ChatGPT (the free version) creates something that works with this prompt:

Fast forward to my college years. I found myself at IIIT Delhi, a prestigious tier 1 computer science engineering college. Around the same time, ChatGPT emerged, shaking the world more vigorously than COVID-19. As fate would have it, I gained temporary access to ChatGPT 4 which runs on GPT 4, and curiosity piqued my interest.

It is worth mentioning that for my use case, I do not require a high level of precision, so I obtain the values with an AI. I describe the recipe and portions to ChatGPT, and it provides me with a very good estimate of the nutritional information of the meal.