
Ep 18: LlamaIndex CEO Jerry Liu on Trends in LLM Applications
Jacob and Pat sit down with LlamaIndex CEO Jerry Liu to discuss his motivations for building LlamaIndex, thoughts on building enterprise-ready LLM applications and agents, and when fine-tuning makes sense.
Unsupervised Learning with Jacob Effron · Jerry Liu, Patrick Chase, Jacob Effron
Audio is streamed directly from the publisher (cdn.simplecast.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Jacob and Pat sit down with LlamaIndex CEO Jerry Liu to discuss his motivations for building LlamaIndex, thoughts on building enterprise-ready LLM applications and agents, and when fine-tuning makes sense.
0:00 intro
1:02 the evolution of LlamaIndex
3:48 apps being built with LlamaIndex
6:39 making agents more effective
12:58 retrieval augmented generation
16:49 what’s the right level of abstraction for LlamaIndex?
19:42 balancing reasoning and knowledge
30:46 storage for embeddings
36:03 underutilized features of LlamaIndex
40:38 over-hyped/under-hyped
With your co-hosts:
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@jordan_segall
- Partner at Redpoint