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...
Hallucinations, Bias, and Black Boxes - The Biggest Challenges
All Things LLM
9 minutes
1 month ago
Hallucinations, Bias, and Black Boxes - The Biggest Challenges
Powerful language models are reshaping the world, but serious challenges remain. In this revealing episode of "All Things LLM," hosts Alex and AI expert Ben tackle the core limitations and ethical risks facing all large language models—open or closed. This episode covers: Hallucinations: Why LLMs make up plausible-sounding but false or misleading answers, and how techniques like Retrieval-Augmented Generation (RAG) help ground responses in reality.Bias: How AI adopts and even amplifies societ...
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...
