{"version":1,"type":"story","url":"https://digestai.news/story/ahead-of-ai-releases-eighthour-video-course-on-building-reasoning-mode","json":"https://digestai.news/story/ahead-of-ai-releases-eighthour-video-course-on-building-reasoning-mode.json","markdown":"https://digestai.news/story/ahead-of-ai-releases-eighthour-video-course-on-building-reasoning-mode.md","slug":"ahead-of-ai-releases-eighthour-video-course-on-building-reasoning-mode","headline":"Ahead of AI releases eight‑hour video course on building reasoning models from scratch","summary":"Ahead of AI has published a new eight‑video series, totaling about 11 hours, that walks through building a reasoning model from a pre‑trained Qwen3 0.6B model using Python and PyTorch. The course starts with loading the base model, adds KV caching and compilation, then implements verification, inference‑time scaling, self‑consistency, scoring, self‑refinement, and reinforcement learning with verifiable rewards (RLVR) using a simplified GRPO algorithm. Evaluation is performed on the MATH‑500 benchmark throughout the lectures.\n\nThe videos complement the companion book *Build a Reasoning Model (From Scratch)*, available from Manning and Amazon, and reference related material such as the *Build a Large Language Model (From Scratch)* book and a LinkedIn Learning course on AI reasoning models. Prerequisites include familiarity with Python and PyTorch; early examples run on a CPU, while later training steps benefit from a GPU. The material is positioned as a sequel to the author’s earlier coding‑LLM course and aims to help readers understand and implement modern reasoning‑model techniques.","keyPoints":["Eight coding videos (≈11 hours) teach building a reasoning model on Qwen3 0.6B.","Techniques covered include KV caching, self‑consistency, scoring, and RLVR with GRPO.","Evaluation uses the MATH‑500 benchmark; book available from Manning and Amazon."],"whyItMatters":"Reasoning models are the backbone of modern LLM agents; this hands‑on material lowers the barrier for developers to create and improve such models.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["Manning","Amazon","LinkedIn Learning"],"models":["Qwen3 0.6B"],"people":[]},"firstPublishedAt":"2026-10-24T11:14:32Z","updatedAt":"2026-10-24T11:14:32Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"Ahead of AI (Sebastian Raschka)","title":"Building Reasoning Models from the Ground Up: A Video Course","url":"https://magazine.sebastianraschka.com/p/building-reasoning-models","publishedAt":"2026-10-24T11:14:32Z","type":"newsletter","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Ahead of AI releases eight‑hour video course on building reasoning models from scratch\", 24 October 2026, https://digestai.news/story/ahead-of-ai-releases-eighthour-video-course-on-building-reasoning-mode","publisher":"Digest AI","title":"Ahead of AI releases eight‑hour video course on building reasoning models from scratch","datePublished":"2026-10-24T11:14:32Z","url":"https://digestai.news/story/ahead-of-ai-releases-eighthour-video-course-on-building-reasoning-mode"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}