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
