Sebastian Raschka
Machine learning researcher, educator, and author of Build a Large Language Model (From Scratch) and Build a Reasoning Model (From Scratch), known for hands-on model-building and teaching work.
Top 3 podcasts with Sebastian Raschka
Ranked by the Snipd community
6,128 snips
Feb 1, 2026 • 0sec
#490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
Sebastian Raschka, hands-on ML educator and author of practical LLM guides, and Nathan Lambert, post-training lead at AI2 and RLHF specialist, discuss China vs US competition, which chatbots excel at coding and long context, open vs closed model tradeoffs, architectural tweaks like MOE, where progress really comes from (systems, data, post-training), RL with verifiable rewards, scaling laws, tool use and agents, and timelines toward AGI.
194 snips
Jan 29, 2026 • 1h 8min
State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka
Sebastian Raschka, AI researcher and educator known for practical ML guides and his book on building LLMs, walks through 2025–2026 shifts in large models. He compares architectures like transformers, world models, and text diffusion. He explains RLVR and GRPO post-training methods, warns about benchmark gaming, and highlights inference‑time scaling and private data as key drivers.
83 snips
Apr 13, 2026 • 1h 18min
LLM Architecture in 2026: What You Need to Know with Sebastian Raschka
Sebastian Raschka, independent AI researcher and author of practical, code-first LLM guides. He digs into what modern model architectures actually contain. Conversations hit inference-scaling tricks, hybrid transformer/state-space designs, KV-cache and long-context tactics, Multi-head Latent Attention, and the tradeoffs of running local vs. frontier models.
