In the grand finale of "All Things LLM," hosts Alex and Ben look ahead to the bleeding edge—and reflect on the ultimate question for AI: can we ever truly understand how these models think? Inside this episode: The rise of reasoning models: Discover why the next leap for AI isn’t just bigger models, but smarter thinking. Explore how OpenAI’s o1 and DeepSeek-R1 represent a paradigm shift, moving from brute-force “pre-train and scale” to dynamic, inference-time reasoning. Learn how these new mo...
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In the grand finale of "All Things LLM," hosts Alex and Ben look ahead to the bleeding edge—and reflect on the ultimate question for AI: can we ever truly understand how these models think? Inside this episode: The rise of reasoning models: Discover why the next leap for AI isn’t just bigger models, but smarter thinking. Explore how OpenAI’s o1 and DeepSeek-R1 represent a paradigm shift, moving from brute-force “pre-train and scale” to dynamic, inference-time reasoning. Learn how these new mo...
The Blueprint - Encoders, Decoders, and Model Families
All Things LLM
5 minutes
1 month ago
The Blueprint - Encoders, Decoders, and Model Families
Unlock the mysteries of modern AI with "All Things LLM." In this episode, Alex and Ben break down the Transformer—the revolutionary engine powering today’s Large Language Models (LLMs) like GPT-4, Llama, and Gemini. If you’ve ever wondered how AI can both understand and generate text, this deep dive into Transformer architecture is your essential guide. You'll discover: The “encoder” and “decoder” building blocks that form the foundation of every Transformer, explained in clear, accessible la...
All Things LLM
In the grand finale of "All Things LLM," hosts Alex and Ben look ahead to the bleeding edge—and reflect on the ultimate question for AI: can we ever truly understand how these models think? Inside this episode: The rise of reasoning models: Discover why the next leap for AI isn’t just bigger models, but smarter thinking. Explore how OpenAI’s o1 and DeepSeek-R1 represent a paradigm shift, moving from brute-force “pre-train and scale” to dynamic, inference-time reasoning. Learn how these new mo...
