llm-workflow-engine VS askai

I want to turn on my mic and see my words show up in my active terminal tab. App-agnostic is good but app-specific would work; this is for chatgpt input with https://github.com/mmabrouk/chatgpt-wrapper. right now i'm using chatgpt in browser with speech-to-text browser extension and I would prefer not to. advice regarding older hardware applies here, but also interested in cutting edge for powerful pcs. Any guidance, links to guides valued.

There are more popular Python projects for ChatGPT: https://github.com/mmabrouk/chatgpt-wrapper

Shameless plug here for those (like the author) who are using GPT in your projects and finding the costs to be too high.

I've built an open source wrapper around ChatGPT that lets you use it programmatically as an API or from Python or in CLI. Best of all, it's completely free! So it is great for testing the waters on a hobby project.

Check it out on GitHub: https://github.com/mmabrouk/chatgpt-wrapper

Never worry about exceeding hourly submit times, as the tool waits until it can run again. In short, the ChatGPT Batch Whipper tool is an efficient and user-friendly way to perform batch jobs with ChatGPT. We welcome any feedback or suggestions you may have, so give it a try and see how it can improve your workflow! Thanks to @mmabrouk some of codes were inspired and modified from his repo.

the wrapper I'm using is https://github.com/mmabrouk/chatgpt-wrapper, which is awesome (no credit to me). I just wrote a bash script to wrap around the wrapper :P.

chatgpt-wrapper: API for interacting with ChatGPT using Python and from Shell.

What is the best way to quickly install Python repos like chatgpt-wrapper using Nix?

You may have seen people write tools that use the chat gpt engine, but they all work by automating a browser connected to https://chat.openai.com/chat (e.g. chatgpt.py).

By following these steps, developers can train ChatGPT on their own data. This will allow to give personalized, accurate, and domain-specific responses. Keep in mind that this process requires technical skills and can take more time than using no-code platforms.

ChatGPT prompt: Act like a senior software developer mentor. Explain to me in the simplest way possible what javascript Symbols are, making very basic examples that DO NOT use "foo" "bar" words. Make small sentences and ask me often if I am able to understand. Thank you.

AI and LLMs such as ChatGPT are amazing at what they do, but they suffer from the lack of "an opposable thumb", to use an analogy. This implies that as stand alone products, they can't really do much, if anything at all.

Prompt Engineering is the art of instructing an LLM such as ChatGPT to do what you want it to do, using nothing but natural language, logic, and reason. The process is probably easily within reach of 80% of the world's population, while less than 0.3% of the world's population knows how to code.

ChatGPT, launched in November 2022, quickly became a sensation, amassing over a million users within its first five days. This staggering adoption rate signifies more than mere curiosity; it reflects a genuine interest in AI's potential to revolutionize writing. Built on the GPT (Generative Pre-trained Transformer) architecture, ChatGPT learns from a vast corpus of online text, enabling it to generate human-like responses across a wide range of topics and styles.

If you are new to OpenAI, create your OpenAI account here. Once you’ve successfully created an account, go on to API key section by using the same credentials you used when creating your account. On the left panel of the screen, click on “API Keys” and then proceed to click on “Create new secret key”. This is shown below:

A friend of mine asked ChatGPT to suggest an open source low-code software development platform for AI solutions, and it suggested Magic. Magic is our flagship product, and when I describe what it does I tend to use a lot of words. Below is the identity definition of it.

We'll use several interesting technologies to achieve this: Strapi CMS to take care of the content management and backend, Astro which is a great new technology for quickly creating blazing fast frontend apps, and ChatGPT to provide the article summaries.