# Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere

Page: https://stenobird.com/podcast/gradient-dissent/scaling-llms-and-accelerating-adoption-with-aidan-gomez-at-cohere
Text version: https://stenobird.com/podcast/gradient-dissent/scaling-llms-and-accelerating-adoption-with-aidan-gomez-at-cohere.md
Podcast: [Gradient Dissent: Conversations on AI](https://stenobird.com/podcast/gradient-dissent)
Published: 2023-04-20T04:05:00+00:00
Episode link: https://wandb.ai/site/resources/podcast
Audio file: https://podcasts.captivate.fm/media/d05cc323-31a7-4792-ba1e-894ad88b9438/WEIGHTS-Aidan-Gomez-V3.mp3
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JSON: https://stenobird.com/v1/public/podcasts/gradient-dissent/episodes/scaling-llms-and-accelerating-adoption-with-aidan-gomez-at-cohere
Duration seconds: 3091

## Resource

On this episode, we’re joined by Aidan Gomez , Co-Founder and CEO at Cohere . Cohere develops and releases a range of innovative AI-powered tools and solutions for a variety of NLP use cases. We discuss: - What “attention” means in the context of ML. - Aidan’s role in the “Attention Is All You Need” paper. - What state-space models (SSMs) are, and how they could be an alternative to transformers. - What it means for an ML architecture to saturate compute. - Details around data constraints for when LLMs scale. - Challenges of measuring LLM performance. - How Cohere is positioned within the LLM development space. - Insights around scaling down an LLM into a more domain-specific one. - Concerns around synthetic content and AI changing public discourse. - The importance of raising money at healthy milestones for AI development. Aidan Gomez - https://www.linkedin.com/in/aidangomez/ Cohere - https://www.linkedin.com/company/cohere-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. Resources: - https://cohere.ai/ - “Attention Is All You Need” #OCR #DeepLearning #AI #Modeling #ML

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## Transcript

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