Compound AI Systems with Philip Kiely - Weaviate Podcast #105! @Weaviate
Compound AI Systems with Philip Kiely - Weaviate Podcast #105!  @Weaviate
Uploaded October 2024 | Updated September 2026, 1 hour ago
Hey everyone! Thanks so much for watching the 105th episode of the Weaviate Podcast with Philip Kiely! This one dives into all sorts of apsects related to Compound AI Systems! We are now seeing far better results with AI models by breaking up tasks into multiple stages and inferences. Philip explains the work they are doing at Baseten to optimize and scale deployments of these emerging systems and all sorts of aspects about them from Structured Generation to their distinction with Agents! I hope you find it useful!

References:
Learn more about Baseten: docs.baseten.co/welcome

Let Me Speak Freely? - arxiv.org/abs/2408.02442

StructuredRAG - github.com/weaviate/structured-rag

No more bad outputs with structured generation: Remi Louf - youtube.com/watch?v=aNmfvN6S_n4

Coalescence: making LLM inference 5x faster - blog.dottxt.co/coalescence.html

Cameron Pfiffer (.txt) - https://x.com/cameron_pfiffer
Remi Louf (.txt) - https://x.com/remilouf

OPRO - arxiv.org/abs/2309.03409

ALTO - An Efficient Network Orchestrator for Compound AI Systems - arxiv.org/pdf/2403.04311

Chapters:
0:00 Welcome Philip!
0:25 The state of AI models
2:30 Multimodal Models
3:35 Structured Outputs in Multimodal Generation
7:48 Generative Feedback Loops and Structured Outputs
10:30 Structured Outputs in Compound AI Systems
13:35 Deploying and Scaling Compound AI Systems
22:30 Transformers, Mixture-of-Experts, SSMs
27:52 vLLM
33:00 Examples of Compound AI Systems
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Compound AI Systems with Philip Kiely - Weaviate Podcast #105!

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