A builder shares what they learned from an AI Evals course by Hamill and Treya. The focus: how to reduce hallucinations, improve AI agents, and keep users coming back. Practical strategies for building AI that actually works.
Do you want to be in the top 5% of AI teams? Lots of teams are struggling with how to rapidly improve their AI agents for reduced hallucinations, improved recommendations, user engagement, retention, ultimately conversions. I think about it like this. If you went to a coach or a therapist and within the first minute there was a bad interaction, would you pay them? No. And your users wouldn't either in terms of time or money with your agent. Everyone's talking about how evolves are the moat in AI, but few are giving strategic, technically sound advice, tactical advice and processes like Hamill and Treya are in their AI Evals course. I was super fortunate to take the course. Learned a ton. Every penny right. If you could do that and your costs go down but your accuracy is the same. Amazing. That's all to say those are some of the snippets of what I learned from this course. Loved taking it, I learned a lot and I feel like a wizard now, to be honest, in building agents and LLM applications. So if you're struggling with building agents LLM applications, you're struggling with consistent quality. You're not sure how to systematically go about improvement. This course provides a systematic framework and the practical techniques you need to make your agent better. It's not all about the fancy tools, though. The experts, Hamill and Shreya, also have some of the best insider knowledge I've seen on what the fancy tools out there are. It's really about the process and it's really about the thinking and the mental models. And that's exactly what this course delivers on. My only regret is not taking it sooner. So don't be me, take it sooner.
