

Fine-tuning vs RAG
In this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads. Sponsors:…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
Similar episodes from other shows
More like Practical AI →
Why Everyone Is Obsessed With Claude Code

Stop being skeptical about AI for development with Charity Majors

Mapping the future of *truly* Open Models and Training Dolly for $30 — with Mike Conover of Databricks
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.


