MC Hanafee LaPlante

on the atlas — 2

• The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)1 savers
• Curius / Onboarding2621 savers

highlights — 2

• exploration extends to advanced fine-tuning techniques and configurations like memory fine-tuning, Mixture of Experts (MoE) and Mixture of Agents (MoA), demonstrating how these methods harness specialised networks and multi-agent collaboration for improved outcomes. Proximal Policy Optimisation (PPO) and Direct Preference Optimisation (DPO) are discussed as innovative approaches to aligning models with human preferenc

  The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities (Version 1.0)

• Starting [at a young age] he’s read everything that he could find about business. The subject that interests him, he’s read newspapers, biographies, trade press. He went over to his grandfather who was a grocer and he read the progressive grocer magazine, and he read articles on how to stock a meat department... What he’s really done is he’s created this immense vertical filing cabinet in his brain of layers and layers and layers of files of information that he can draw back on now for more than 70 years worth of data. placeholder

  Curius / Onboarding