Latent Space
Deep technical AI engineering content. The go-to podcast for AI builders.
183 episodes curated
Episodes
From Astrophysics to AI: Building the future AI Data Stack — with Sarah Nagy of Seek.ai
If Text is the Universal Interface , then Text to SQL is perhaps the killer B2B business usecase for Generative AI. You may have seen incredible demos from Perplexity AI , OSS Insights , and CensusGPT where the barrier of learning SQL and schemas goes away and you can intuitively converse with your data in natural language. But in the multi-billion dollar data engineering industry, Seek.ai has emerged as the forerunner in building a conversational engine and knowledge base that truly democratizes data insights. We’re proud to present our first remote interview with Sarah Nagy to learn how AI c
97% Cheaper, Faster, Better, Correct AI — with Varun Mohan of Codeium
OpenAI just rollicked the AI world yet again yesterday — while releasing the long awaited ChatGPT API, they also priced it at $2 per million tokens generated, which is 90% cheaper than the text-davinci-003 pricing of the “GPT3.5” family. Their blogpost on how they did it is vague: Through a series of system-wide optimizations, we’ve achieved 90% cost reduction for ChatGPT since December; we’re now passing through those savings to API users. We were fortunate enough to record Episode 2 of our podcast with someone who routinely creates 90%+ improvements for their customers, and in fact have star
ChatGPT, GPT4 hype, and Building LLM-native products — with Logan Kilpatrick of OpenAI
We’re so glad to launch our first podcast episode with Logan Kilpatrick ! This also happens to be his first public interview since joining OpenAI as their first Developer Advocate. Thanks Logan! Recorded in-person at the beautiful StudioPod studios in San Francisco. Full transcript is below the fold. Timestamps * 00:29: Logan’s path to OpenAI * 07:06: On ChatGPT and GPT3 API * 16:16: On Prompt Engineering * 20:30: Usecases and LLM-Native Products * 25:38: Risks and benefits of building on OpenAI * 35:22: OpenAI Codex * 42:40: Apple's Neural Engine * 44:21: Lightning Round Show notes * Sam Altm