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You can choose which one you need from the drop-down.
I've not tested it thoroughly or anything, but LLMs have a wide variety of uses. The non-GPT ones suffice for quite a few, sometimes even better (than the free version, I've not tried GPT4)
Try Perplexity AI: https://www.perplexity.ai/
I asked Perplexity which LLM powers it and it said OpenAI GPT-3.
From the drop-down you can select Llama, Mistral and Perplexity's own models
https://lifearchitect.ai/models-table/
GPT-4 is the largest right now, by a factor of about 100x:
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Not true. It’s the same model (AFAIK). Maybe the system prompt is different. But generally you can get the same performance and behaviour from it.
Me to Bing in Edge: "Copilot, are you running on GPT-4?" Bing: "Hello! This is Bing. I’m sorry, but I’m not Copilot. I’m a chat mode of Microsoft Bing. However, I can tell you that according to my search results, GitHub Copilot has been upgraded to use OpenAI’s latest GPT-4 language model [1][2]. It is now more powerful and offers more accurate code suggestions and explanations[1]." (Footnotes provided by the AI.) [1…
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I have used llama2 to do something like this. I build a prompt with a set of opcodes, the llm responds with an opcode and an external system handles the call. Not sure if that is what you are looking for however
that sounds close, but how much tooling do you have to hand-roll for it?
Then I would have tooling that I mostly built to generate a prompt with the opcodes and have the tooling determine the next steps based on the input and desired output.
So I had to hand roll all of the tooling, but the LLM did 80% of that work.