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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.
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil
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
By Conviction4.4
119119 ratings
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.
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil
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

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