Shreya Rajpal, CEO of Guardrails AI, details why traditional enterprise compliance and model risk management break down when using third-party LLMs.
Insight
Production LLM deployment challenges mirror autonomous vehicle development
“The trajectory of issues and concerns that people are running into are similar to, you know, like the path is similar to what it was in self-driving, which is, you know, How do I get like this, you know, runtime safety? How do I get like runtime constraints, e…”
Insight
Fine-tuning cannot eliminate LLM hallucinations
“At the end of the day, these models are like next token predictors, which is, you know, like they kind of look at like what they've predicted until now, and then, you know, figure out like what the next token they're on is. And from that, like, even with fine-…”
Insight
GenAI solves ML's first mile, but traditional tools handle the last
“LLMs and Generative AI really helps solve, like the first mile problem in ML, right? But the last mile problem, which is, like, how do you take this generic generalizable technology and make it work, like, specifically for your use cases and for your actual ap…”
Assertion Not checkable as stated
Fine-tuned Llama 2 achieves performance comparable to GPT-3.5 and GPT-4
“Straight out of the bat, if you just use Lama tool directly, I don't think you could get like comparable performance, you know, with GPD, 3.5 or four today. But like with fine tuning, if you make that investment in curating your data set in running that fine t…”
Opinion
RAG is the definitive way to build generative AI today
“Rag is the way to build you know, these models today”
Insight
Open source turns abstract AI safety into an actionable engineering problem
“What the open source really ends up doing as you know, a framework is taking down this very abstract problem of what it means to do safe AI development, right? Like it's a very abstract problem. It's almost an academic problem to some degree, and it takes that…”