))
Mindset Over Metrics: How to Approach AI Engineering | Hamel Husain
Manage episode 501368280 series 3617425
Вміст надано Galileo. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Galileo або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
As we enter the era of the AI engineer, the biggest challenge isn't technical - it's a shift in mindset. Hamel Husain, a leading AI consultant and luminary in the eval space, joins the podcast to explore the skills and processes needed to build reliable AI.
Hamel explains why many teams relying on vanity dashboards and a "buffet of metrics" experience a false sense of security, which is no substitute for customized evals tailored to domain-specific risks. The solution? A disciplined process of error analysis, grounded in manually looking at data to identify real-world failures
This discussion is an essential guide to building the continuous learning loops and "experimentation mindset" required to take AI products from prototype to production with confidence. Listen to learn the playbook for building AI reliability, and derive qualitative insights from log data to build customized quantitative guardrails.
Follow the hosts
Follow Atin
Follow Conor
Follow Vikram
Follow Yash
Follow Today's Guest(s)
Connect with Hamel on LinkedIn
Follow Hamel on X/Twitter
Check out his blog: hamel.dev
Check out Galileo
42 епізодів
Поширити
