83 min listen
E20: The Great Implementation with Raza Habib, CEO of Humanloop
From"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
E20: The Great Implementation with Raza Habib, CEO of Humanloop
From"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
ratings:
Length:
83 minutes
Released:
Apr 27, 2023
Format:
Podcast episode
Description
Raza Habib is on the front lines of LLM implementation as CEO of Humanloop, a Y Combinator backed startup that helps companies of all kinds, small and large bridge the gap from API access to successful LLM deployment. Nathan sat down with Raza to hear what he has learned in the process of helping so many companies on their LLM implementation journeys – and he did not disappoint – as you'll hear, he shared a bunch of concrete examples of customer use cases, practical challenges that people face, and the strategies they use to overcome them.
Also, check out the Hackaprompt 2023 competition. There are $40,000 worth of cash and AI credit prizes available. The competition begins on May 5 and will run for 3 weeks, after which we'll have the organizer Sander Schulhoff, who is also the creator of LearnPrompting.org, on the show to talk about the results. Head to this link to sign up: https://www.aicrowd.com/challenges/hackaprompt-2023
Also, we recommend Erik Torenberg’s interview show "Upstream". Guests include Ezra Klein, Balaji Srinivasan, David Sacks, and Marc Andreessen. Subscribe here:
[Apple Podcasts] bit.ly/3z8TldL
[Spotify] bit.ly/40letd0
TIMESTAMPS:
(00:00) Preview of episode
(07:00) Humanloop’s mission and surprising customer base
(12:10) Why a language model is so advantageous
(15:00) Customization and understanding model performance
(18:14) Sponsor: Omneky
(18:35) Users graduating from playground experimentation to develop robust implementations
(23:25) Raza’s two mental models for using AI
(27:50) How customers are actually integrating API
(31:50) Challenge of evaluation and feedback
(43:33) Prediction: more fine tuning in the immediate future
(47:00) RLHF myth-busting
(57:12) Robust agents need feedback loops
(1:02:27) AI productization challenges
(01:07:32) Adopt or die moment for incumbents
(01:11:19) Fast iteration cycles
(1:15:45) Rapid fire questions for The Cognitive Revolution guests
TWITTER:
@CogRev_Podcast
@RazRazcle (Raza)
@labenz (Nathan)
Thank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off.
More show notes and reading material released in our Substack: https://cognitiverevolution.substack.com/
Learn more about your ad choices. Visit megaphone.fm/adchoices
Also, check out the Hackaprompt 2023 competition. There are $40,000 worth of cash and AI credit prizes available. The competition begins on May 5 and will run for 3 weeks, after which we'll have the organizer Sander Schulhoff, who is also the creator of LearnPrompting.org, on the show to talk about the results. Head to this link to sign up: https://www.aicrowd.com/challenges/hackaprompt-2023
Also, we recommend Erik Torenberg’s interview show "Upstream". Guests include Ezra Klein, Balaji Srinivasan, David Sacks, and Marc Andreessen. Subscribe here:
[Apple Podcasts] bit.ly/3z8TldL
[Spotify] bit.ly/40letd0
TIMESTAMPS:
(00:00) Preview of episode
(07:00) Humanloop’s mission and surprising customer base
(12:10) Why a language model is so advantageous
(15:00) Customization and understanding model performance
(18:14) Sponsor: Omneky
(18:35) Users graduating from playground experimentation to develop robust implementations
(23:25) Raza’s two mental models for using AI
(27:50) How customers are actually integrating API
(31:50) Challenge of evaluation and feedback
(43:33) Prediction: more fine tuning in the immediate future
(47:00) RLHF myth-busting
(57:12) Robust agents need feedback loops
(1:02:27) AI productization challenges
(01:07:32) Adopt or die moment for incumbents
(01:11:19) Fast iteration cycles
(1:15:45) Rapid fire questions for The Cognitive Revolution guests
TWITTER:
@CogRev_Podcast
@RazRazcle (Raza)
@labenz (Nathan)
Thank you Omneky for sponsoring The Cognitive Revolution. Omneky is an omnichannel creative generation platform that lets you launch hundreds of thousands of ad iterations that actually work, customized across all platforms, with a click of a button. Omneky combines generative AI and real-time advertising data. Mention "Cog Rev" for 10% off.
More show notes and reading material released in our Substack: https://cognitiverevolution.substack.com/
Learn more about your ad choices. Visit megaphone.fm/adchoices
Released:
Apr 27, 2023
Format:
Podcast episode
Titles in the series (100)
E6: The Computer Vision Revolution with Junnan Li and Dongxu Li of BLIP and BLIP2: As recently as January 2021, the challenge of "interpreting what is going on in a photograph" was considered "nowhere near solved." Today's guests Junnan Li and Dongxu Li changed that with their publication and open-sourcing of BLIP, which delivered state-of-the-art performance on image captioning and other vision-language tasks. BLIP became the #18 most-cited AI paper of 2022, and now Junnan and Dongxu are back with BLIP-2, this time showing how small models can harness the power of existing foundation models to do multi-modal tasks. We talked to Junnan and Dongxu about their research and how they see the trend toward connector models shaping the future. We talked to Junnan and Dongxu about their research and how they see the trend toward connector models shaping the future. by "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis