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/

Thanks for listening to the Gradient Dissent podcast, brought to you by Weights & Biases. If you enjoyed this episode, please leave a review to help get the word out about the show. And be sure to subscribe so you never miss another insightful conversation.

#OCR #DeepLearning #AI #Modeling #ML

Vorpolitisch Meets Holger Marcks

Vorpolitisch

Probleme der epistemischen Autorität

The AI-powered Podcast Player