Why do you use Llama models? and what support do you need to build on Llama
I work at Meta's AI Partnerships team and we're trying to understand why startups use Llama models. Was wondering if I could pick the community's brain on the following topic
- what criteria did you follow that led you to choose Llama for your use case?
- how important is fine-tuning small models for your strategy?
- what are the major pain points of using Llama models that Meta can streamline?
- what documentation needs would be most useful to help you build an open source AI stack with Llama?
- what criteria did you follow that led you to choose Llama for your use case? - how important is fine-tuning small models for your strategy? - what are the major pain points of using Llama models that Meta can streamline? - what documentation needs would be most useful to help you build an open source AI stack with Llama?