Post by Mastering LLM (Large Language Model)

🚀 New Course Alert: Build and Train Your Own Reasoning LLM Are you ready to go beyond just using large language models and start creating truly intelligent systems capable of complex reasoning? Mastering LLM (Large Language Model) is launching a comprehensive, hands-on course for developers and researchers: "Build and Train Your Own Reasoning LLM". What you'll master: • Reasoning Models—learn practical use cases, train-time vs. test-time compute, and scaling laws. • Advanced Search Strategies—verifiers, MCTS, beam search, and majority voting. • Reinforcement Learning—progress beyond SFT to RLHF, DPO, and GRPO for alignment. • Reward Engineering—design robust reward functions and avoid reward hacking. • Real-World Project—train a 2.5B model to outperform a 137B model on Python code generation using GRPO. • Benchmarking—build validation workflows and measure against industry standards. Course curriculum includes: 1. Reasoning model foundations 2. Train-time and test-time compute strategies 3. Advanced search—verifiers & proposal distribution 4. Reinforcement learning and fine-tuning 5. Reward challenges, hacking, and robust design 6. GRPO training and benchmarking Trainers: Rohit Shah (Gen AI Practice Specialist @ Google) Bunty Shah (GenAI Architect @ Morgan Stanley) Ready to master advanced LLM design? All details and curriculum breakdown here: 👉 https://lnkd.in/dGxZzieM Enroll today and start building LLMs that outperform the competition!