Machine Learning powers much of what we see and interact with. Get to grips with the theoretical and practical considerations in ML and understand the tools and platforms that make up the discipline
From this track
Session
No More Spray and Pray— Let's Talk About LLM Evals
The pace of development in AI in the past year or so has been dizzying, to say the least, with new models and techniques emerging weekly. Yet, amidst the hype, a sobering reality emerges: much of these advancements lack robust empirical evidence.
Apoorva Joshi
AI Developer Advocate @MongoDB
