> Anyone using these models on a daily basis is not impressed with Llama 2
Being at a FAANG adjacent company working with these models on a daily basis, Llama2 is more than sufficient for a large number of use cases. It ultimately depends what exactly you're looking for. Exposing the LLM directly as a chat interface to users? Then yeah, in many cases it won't feel sufficient. Using it for search, summarization, moderation, etc.? Then it's often more than capable.
FWIW GPT-4 is not one single model as you're aware and it evolves over time. In our experience it has objectively degraded in quality over time.
As for anyscale, ultimately it's more like databricks (and funny enough lots of ex databricks folks there). Anyone can just run hosted spark. Databrick's ecosystem has set them apart and it looks like that's what anyscale is building towards.