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Ep 32: CEO and Founder of Pinecone Edo Liberty on Pioneering Vector Databases, Barriers to Productionalizing Models and Why What’s Happening with GPUs is Not Sustainable
Manage episode 412866256 series 3495253
Pinecone has raised over $130 million and was most recently valued at $750 million. On this week’s Unsupervised Learning, we sat down with CEO and Founder of Pinecone, Edo Liberty. Pinecone is arguably one of the most important elements in today's modern datastack. Edo shared with us the most common use cases of Pinecone, the evolving landscape of vector databases, challenges in building vector databases, the "painful" launch of serverless model, and what people get wrong the most about Pinecone.
(0:00) intro
(0:33) what was it like when ChatGBT came out?
(6:29) Edo’s favorite applications built on Pinecone
(10:34) will we see more image and video applications in 2024?
(14:58) best ways to deal with hallucinations
(18:12) the evolving landscape of vector databases
(20:27) if Edo had to build a product, what would his stack look like?
(31:45) helping clients versus letting them figure things out
(36:38) moving to a serverless model
(40:33) what areas of AI should new startups target?
(45:18) Amazon SageMaker
(50:38) over-hyped/under-hyped
(51:30) biggest surprises while building Pinecone
(56:13) Jacob and Pat debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
49 Episoden
Manage episode 412866256 series 3495253
Pinecone has raised over $130 million and was most recently valued at $750 million. On this week’s Unsupervised Learning, we sat down with CEO and Founder of Pinecone, Edo Liberty. Pinecone is arguably one of the most important elements in today's modern datastack. Edo shared with us the most common use cases of Pinecone, the evolving landscape of vector databases, challenges in building vector databases, the "painful" launch of serverless model, and what people get wrong the most about Pinecone.
(0:00) intro
(0:33) what was it like when ChatGBT came out?
(6:29) Edo’s favorite applications built on Pinecone
(10:34) will we see more image and video applications in 2024?
(14:58) best ways to deal with hallucinations
(18:12) the evolving landscape of vector databases
(20:27) if Edo had to build a product, what would his stack look like?
(31:45) helping clients versus letting them figure things out
(36:38) moving to a serverless model
(40:33) what areas of AI should new startups target?
(45:18) Amazon SageMaker
(50:38) over-hyped/under-hyped
(51:30) biggest surprises while building Pinecone
(56:13) Jacob and Pat debrief
With your co-hosts:
@jacobeffron
- Partner at Redpoint, Former PM Flatiron Health
@patrickachase
- Partner at Redpoint, Former ML Engineer LinkedIn
@ericabrescia
- Former COO Github, Founder Bitnami (acq’d by VMWare)
@jordan_segall
- Partner at Redpoint
49 Episoden
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