Model Quality, Fine Tuning & Meta Sponsoring Open Source Ecosystem

No Priors: Artificial Intelligence | Technology | Startups

Conviction에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Conviction 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

2y ago 23:53

MP3•에피소드 홈

What Does it Take to Improve by 10x or 100x? This week is another host-only episode. Sarah and Elad talk about the path to better model quality, the potential for fine tuning to different use cases, retrieval systems (RAG), feedback systems (RLHF, RLAIF) and Meta’s sponsorship of the open source model ecosystem. Plus Sarah and Elad ask if we’re finally at the beginning of a new set of consumer applications and social networks.

Show Notes:

0:03:00 - AI Models and Open AI Advances

0:08:59 - Addressing Hallucinations in AI Models

0:13:22 - Open Source Models in Consumer Engagement

0:16:23 - New Trends in Social Content Creation

0:21:53 - Balancing Ambition With Realistic Customer Expectations

138 에피소드