That said I built an LLM following Karpathy's tutorial. So I think it aims good to dabble a bit.
I built an 8-bit computer on breadboards once, then went down the rabbit hole of flight training for a PPL. Every time I think I’m "done," the finish line moves a few miles further.
Guess we nerds are never happy.
You pass listing of messages generated by the user or the LLM or the developer to the API, it generates a part of the next message. That part may contain thinking blocks or tool calls (local function calling requested by the LLM). If so, you execute the tool calls and re-send the request. After the LLM has gathered all the info it returns the full message and says I am done. Sometimes the messages may contain content blocks that are not text but things like images, audio, etc.
That’s the API. That’s it. Now there are two improvements that are currently in the works:
1. Automatic local tool calling. This is seriously some sort of afterthought and not how they did it originally but ok, I guess this isn’t obvious to everyone.
2. Not having to send the entire message history back. OpenAI released a new feature where they store the history and you just send the ID of your last message. I can’t find how long they keep the message history. But they still fully support you managing the message history.
So we have an interface that does relatively few things, and that has basically a single sensible way to do it with some variations for flavor. And both OpenAI and Anthropic are engaged in a turf war over whose content block types are better. Just do the right thing and make your stuff compatible already.
If you are a software engineer, you are going to be expected to use AI in some form in the near future. A lot of AI in its current form is not intuitive. Ergo, spending a small effort on building an AI agent is a good way to develop the skills and intuition needed to be successful in some way.
Nobody is going to use a CPU you build, nor are you ever going to be expected to build one in the course of your work if you don’t seek out specific positions, nor is there much non-intuitive about commonly used CPU functionality, and in fact you don’t even use the CPU directly, you use translation software whit itself is fairly non-intuitive. But that’s ok too, you are unlikely to be asked to build a compiler unless you seek out those sorts of jobs.
EVERYONE involved in writing applications and services is going to use AI in the near future and in case you missed the last year, everyone IS building stuff with AI, mostly chat assistants that mostly suck because, much about building with AI is not intuitive.