Published Aug 11, 2024

Jay Alammar on LLMs, RAG, and AI Engineering

Jay Alammar delves into the transformative evolution of AI models, exploring the groundbreaking impact of transformers, the potential of Retrieval Augmented Generation to enhance language accuracy, and the crucial role of visualizations in demystifying complex AI concepts.

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Jay Alammar on LLMs, RAG, and AI Engineering

Topics covered

Popular Clips

Language Model Applications

Evolving AI Engineering

Model Mechanics

Building with LLMs

Visualizing AI Concepts

Realistic AI Timelines

Updated Illustrated Transformer

Early Days of Transformers

Visual Learning Collaboration

Transforming Language Models

AI Insights Unpacked

Language Models Unleashed

Evolution of Language Models

Rise of Language Models

Sharing Knowledge Openly

Episode Highlights

Evolution of AI Models

Retrieval Augmented Generation

Visualizing AI Concepts

Related Episodes

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Cohere co-founder Nick Frosst on building LLM apps for business

#80 AIDAN GOMEZ [CEO Cohere] - Language as Software

Jurgen Schmidhuber on Humans co-existing with AIs

MLST #78 - Prof. NOAM CHOMSKY (Special Edition)

Mahault Albarracin - Cognitive Science

Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)

Gary Marcus' keynote at AGI-24

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#046 The Great ML Stagnation (Mark Saroufim and Dr. Mathew Salvaris)

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Jay Alammar on LLMs, RAG, and AI Engineering

Topics covered

Popular Clips

Episode Highlights

Evolution of AI Models

Retrieval Augmented Generation

Visualizing AI ConceptsJay Alammar underscores the significance of visualization in AI education, advocating for visual aids to enhance comprehension and engagement. He also highlights collaborative efforts in creating accessible learning tools for large language models.

Visualizing AI Concepts

Related Episodes