83 min listen
E28: Keeping the AI Revolution on the Rails with Shreya Rajpal of Guardrails AI
From"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
E28: Keeping the AI Revolution on the Rails with Shreya Rajpal of Guardrails AI
From"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis
ratings:
Length:
95 minutes
Released:
May 23, 2023
Format:
Podcast episode
Description
Nathan Labenz sits down with engineer Shreya Rajpal, the creator of Guardrails AI, a new Python library that allows developers to add a layer of output, validation and correction to their code. Practically guardrails can ensure a reliable interface between language models and more traditional deterministic software systems. At the same time, mind-bending and potentially risky use case frameworks like Guardrails allow developers to ask and answer entirely new kinds of questions.
Talking to Shreya really reinforced just how early we are in LLM’s impact on the software industry. We were introduced to Shreya’s work when recording our interview with Matt Welsh, the CEO of Fixie.AI (Ep 19: How AI Agents Will Change How We Work).
LINKS:
Guardrails AI: https://shreyar.github.io/guardrails/
RECOMMENDED PODCASTS:
Upstream: https://link.chtbl.com/Upstream
TIMESTAMPS:
(00:00) Episode preview
(05:00) Why Shreya built Guardrails AI
(08:33) Common ways LMs can “go off the rails” and how Guardrails can correct it
(13:45) Discussion of validators
(15:31) Sponsor: Omneky
(18:48) Business and creative use cases of Guardrails AI
(25:00) What can be achieved by Guardrails AI that cannot be achieved by traditional code
(32:44) How agents work vs how Guardrails works
(35:34) AI as shepherd vs delegating to AI and the role of human understanding
(39:54) Trust deficit and risks
(46:33) Is it realistic to imagine GPT-4 using Guardrails?
(52:00) How Shreya thinks about security
(57:02) How Shreya thinks about embeddings
(1:05:05) How Shreya thinks about problemsolving with LMs
(1:07:50) Shreya on OpenAI’s Evals Library, Anthropic’s Constitutional AI
(1:12:55) Discussion of determinism
(1:15:00) Recommendations for developers to minimize overhead
(1:26:00) Predictions about providers in the space of LMs
(1:29:30) Shreya’s favorite AI tools
(1:30:00) Would Shreya get a neuralink implant
(1:31:50) Biggest hopes and fears for AI
TWITTER:
@CogRev_Podcast
@ShreyaR (Shreya)
@labenz (Nathan)
@eriktorenberg (Erik)
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.
Music Credit: MusicLM
More show notes and reading material released in our Substack: https://cognitiverevolution.substack.com
Talking to Shreya really reinforced just how early we are in LLM’s impact on the software industry. We were introduced to Shreya’s work when recording our interview with Matt Welsh, the CEO of Fixie.AI (Ep 19: How AI Agents Will Change How We Work).
LINKS:
Guardrails AI: https://shreyar.github.io/guardrails/
RECOMMENDED PODCASTS:
Upstream: https://link.chtbl.com/Upstream
TIMESTAMPS:
(00:00) Episode preview
(05:00) Why Shreya built Guardrails AI
(08:33) Common ways LMs can “go off the rails” and how Guardrails can correct it
(13:45) Discussion of validators
(15:31) Sponsor: Omneky
(18:48) Business and creative use cases of Guardrails AI
(25:00) What can be achieved by Guardrails AI that cannot be achieved by traditional code
(32:44) How agents work vs how Guardrails works
(35:34) AI as shepherd vs delegating to AI and the role of human understanding
(39:54) Trust deficit and risks
(46:33) Is it realistic to imagine GPT-4 using Guardrails?
(52:00) How Shreya thinks about security
(57:02) How Shreya thinks about embeddings
(1:05:05) How Shreya thinks about problemsolving with LMs
(1:07:50) Shreya on OpenAI’s Evals Library, Anthropic’s Constitutional AI
(1:12:55) Discussion of determinism
(1:15:00) Recommendations for developers to minimize overhead
(1:26:00) Predictions about providers in the space of LMs
(1:29:30) Shreya’s favorite AI tools
(1:30:00) Would Shreya get a neuralink implant
(1:31:50) Biggest hopes and fears for AI
TWITTER:
@CogRev_Podcast
@ShreyaR (Shreya)
@labenz (Nathan)
@eriktorenberg (Erik)
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.
Music Credit: MusicLM
More show notes and reading material released in our Substack: https://cognitiverevolution.substack.com
Released:
May 23, 2023
Format:
Podcast episode
Titles in the series (100)
E10: The AI Voice Revolution with Mahmoud Felfel of Play.ht: The development of ultra-realistic human voices is upon us, and Mahmoud Felfel's company Play.ht is leading the next generation of text-to-voice models. In this episode, we discuss the challenges and opportunities of automating a more human voice, as well as concerns about deep fakes and user safety. Also, you might be interested to check out the debut of Erik Torenberg's new podcast "Upstream". This coming season features interviews with Marc Andreessen (Episode 1 is out now), David Sacks, Ezra Klein, Balaji Srinivasan, Katherine Boyle, and more. Subscribe here: https://podcasts.apple.com/us/podcast/id1678893467 Timestamps: (0:00) Preview of Mahmoud on this episode (0:55) Sponsor: Omneky.com (1:45) Nathan clones his voice using Play.ht (6:11) Why Mahmoud started Play.ht and the problem they tried to solve (13:08) The job to be done for Play.ht & how they’re thinking about APIs and models (24:45) Mahmoud breaks by "The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis