AI Papers by Henri Nguembi

Claude Henri Nguembi•rss.com

We use Notebook LM to explain latest and important AI papers. Our two hosts explain complex matters in a simple and fun way.

Last refreshed: January 3rd, 2026 at 4:41 AM ⓘ

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Episodes

Introduction to Reinforcement Learning

In this episode we explore Reinforcement Learning, an AI framework used in systems such as ChatGPT. Reinforcement Learning , a subfield of Artificial Intelligence, is a method for machines to learn optimal decision-making through trial and error by receiving rewards or penalties for their actions. This beginner-friendly introduction covers fundamental aspects, such as basic terminology like agents, environments, and rewards, alongside core concepts like the Markov Decision Process. The text furt...

Apr 20, 2025•22 min

DeepSeek-R1: Reasoning LLMs via Reinforcement Learning

We talk about DeepSeek-R1 , a novel language model with enhanced reasoning capabilities achieved through reinforcement learning ( RL ). The researchers explored training methodologies, including DeepSeek-R1-Zero which uniquely utilizes large-scale RL without initial supervised fine-tuning ( SFT ), demonstrating emergent reasoning behaviors. To improve readability and further boost performance, DeepSeek-R1 incorporates a multi-stage training process with cold-start data before RL and achieves res...

Apr 02, 2025•31 min

Biology of a Large Language Model

In this first episode we dive into this paper from AnthropicAI called Biology of a Large Langage Model where the autors present a detailed investigation into the inner workings of the large language model Claude 3.5 Haiku, employing a methodology centered around attribution graphs to understand how it processes information and generates responses. Through various case studies, the authors explore phenomena such as multi-step reasoning , planning in poetry generation , and multilingual understand...

Mar 31, 2025•27 min

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