Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
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.
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Featuring:
- Demetrios Brinkmann – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
Timestamps:
(00:07) - Welcome to Practical AI
(00:43) - Practical AI & Friends
(02:01) - Look into MLOps community
(04:19) - Changes in the AI community
(07:34) - Finding the norm
(08:30) - Matching models & uses
(11:21) - Stages of debugging
(13:10) - Layer orchestration
(16:26) - Practical hot takes
(21:46) - Fine-tuning is more work
(24:13) - Retrieval augmented generation
(31:23) - MLOps survey
(38:09) - The next survey
(41:50) - Enterprise hypetrain
(42:39) - OpenAI & your data
(43:19) - AI vendor lock-in?
(47:44) - Now what do we do?
(48:58) - Hype in the AI life
(56:35) - Goodbye
(57:23) - Outro