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Jay Alammar

Well-known AI educator, applied NLP practitioner at co:here, and author of the popular blog, “The Illustrated Transformer.”

Top 3 podcasts with Jay Alammar

Ranked by the Snipd community
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66 snips
Dec 30, 2023 • 2h 42min

NeurIPS 2023 Recap — Top Startups

In this dynamic discussion, Jonathan Frankle, Chief Scientist at MosaicML, shares insights on their $1.3 billion acquisition by Databricks. Lin Qiao, CEO of Fireworks AI, talks about optimizing PyTorch for inference. Aman Sanger from Cursor reveals innovative memory strategies for AI coding. Aravind Srinivas discusses the impressive growth of Perplexity AI, hitting 1 million installs, while Jeremy Howard emphasizes the need for accessible AI. Together, they explore the vibrant AI startup landscape showcased at NeurIPS 2023, reflecting on innovation, collaboration, and the future of technology.
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41 snips
Feb 22, 2023 • 38min

Applied NLP solutions & AI education

Jay Alammar, a prominent AI educator and applied NLP practitioner at co:here, shares insights on effective NLP solutions and the role of public writing in mastering machine learning. He discusses the balance between the reliability of advanced NLP models and their accessible integration into real-world applications. The conversation also covers the exciting advancements in multimodal models that merge text and image generation. Alammar emphasizes the importance of educational resources to foster innovation in AI.
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27 snips
Aug 11, 2024 • 57min

Jay Alammar on LLMs, RAG, and AI Engineering

Jay Alammar, a prominent AI educator and researcher at Cohere, dives into the latest on large language models (LLMs) and retrieval augmented generation (RAG). He explores how RAG enhances data interactions, helping reduce hallucination in AI outputs. Jay also addresses the challenges of implementing AI in enterprises, emphasizing the importance of education for developers. The conversation highlights semantic search innovations and the future of AI architectures, offering insights on effective deployment strategies and the need for continuous learning in this rapidly evolving field.