I run through a lot of these concepts, specifically RLHF, in my latest coding stream where I finetune LLama 2 if anyone's interested in getting a LLM deep dive https://www.youtube.com/watch?v=TYgtG2Th6fI&t=4002s
Long story short, the size of the model and reward mechanisms used in validating off of human annotating/feedback are the main differences between what we can do as independents in OSS vs OpenAI. BigCode's StarCoder (https://huggingface.co/bigcode/starcoder) has some human labor backing it (I believe correct me if I'm wrong) but at the end of the day a company will always be able to gather people better.
Not knocking Starcoder, in fact I streamed how to fine tune it the other day. However, it's important to mention some of the limitations in the OSS space now (big reason Meta pushing LLama 2 is a nice to have)
Long story short, the size of the model and reward mechanisms used in validating off of human annotating/feedback are the main differences between what we can do as independents in OSS vs OpenAI. BigCode's StarCoder (https://huggingface.co/bigcode/starcoder) has some human labor backing it (I believe correct me if I'm wrong) but at the end of the day a company will always be able to gather people better.
Not knocking Starcoder, in fact I streamed how to fine tune it the other day. However, it's important to mention some of the limitations in the OSS space now (big reason Meta pushing LLama 2 is a nice to have)