Llama and Mistral are not really competitive but they can be used as a base to finetune for a very specific usecase. Then they don't suck as much. With OpenAI

Llama and Mistral are not really competitive but they can be used as a base to finetune for a very specific usecase. Then they don't suck as much. With OpenAI and Claude, you throw some text instructions and you get back the answers which are surprisingly correct (minus a few exceptions). In order to replicate that with Llama you'd probably need N-hundreds finetunes and a model to decide which finetunes to use.