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Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI
Manage episode 372381760 series 2973389
Lukas Biewald에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Lukas Biewald 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.
On this episode, we’re joined by Brandon Duderstadt, Co-Founder and CEO of Nomic AI. Both of Nomic AI’s products, Atlas and GPT4All, aim to improve the explainability and accessibility of AI.
We discuss:
- (0:55) What GPT4All is and its value proposition.
- (6:56) The advantages of using smaller LLMs for specific tasks.
- (9:42) Brandon’s thoughts on the cost of training LLMs.
- (10:50) Details about the current state of fine-tuning LLMs.
- (12:20) What quantization is and what it does.
- (21:16) What Atlas is and what it allows you to do.
- (27:30) Training code models versus language models.
- (32:19) Details around evaluating different models.
- (38:34) The opportunity for smaller companies to build open-source models.
- (42:00) Prompt chaining versus fine-tuning models.
Resources mentioned:
Brandon Duderstadt - https://www.linkedin.com/in/brandon-duderstadt-a3269112a/
Nomic AI - https://www.linkedin.com/company/nomic-ai/
Nomic AI Website - https://home.nomic.ai/
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#OCR #DeepLearning #AI #Modeling #ML
128 에피소드
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