Perhaps not a completely new learning, but definitely one that has been time and again validated in the last 1+ years: There is no one size fits all or silver bullet when it comes to AI models. Purpose-built models for the specific use case is the way to go if one doesn't want to greatly compromise in terms of quality or costs. So much validation on this point across enterprise and academia...
AI is becoming a microservices stack: many fine-tuned, specialized agents with real observability and guardrails.
Step one: make fine-tuning, evaluation, and deployment fast and trustworthy.
Love how you are thinking about this! Custom enterprise models in hours, not weeks. Safer, smaller, specialized models built for your business.
Congrats, team!
Open AND easy!
Consider this the industrial revolution for AI development
Nicely put!
Industrial revolution for AI development...
Fun seeing the Oumi value prop evolve - what do you think is your biggest learning since we first met for coffee?
Perhaps not a completely new learning, but definitely one that has been time and again validated in the last 1+ years: There is no one size fits all or silver bullet when it comes to AI models. Purpose-built models for the specific use case is the way to go if one doesn't want to greatly compromise in terms of quality or costs. So much validation on this point across enterprise and academia...