The LLM Triad: Tune, Prompt, Reward - Gradient Flow

As language models become increasingly common, it becomes crucial to employ a broad set of strategies and tools in order to fully unlock their potential. Foremost among these strategies is prompt engineering, which involves the careful selection and arrangement of words within a prompt or query in order to guide the model towards producing theContinue reading "The LLM Triad: Tune, Prompt, Reward"

Gradient Flow

Fine Tuning LLMs for Code/Query Generation or Summarisation

Gradient Flow

7 Must-Have Features for Crafting Custom LLMs

NeurIPS 2022

LLM Studies (Part 4) – Reinforcement Learning from Human Feedback (RLHF) – Sherman Wong

A Comprehensive Guide to fine-tuning LLMs using RLHF (Part-1)

Introduction to LLM Model Fine Tuning

NeurIPS 2022

Building an LLM Stack Part 3: The art and magic of Fine-tuning

LLMs Sometimes Generate Purely Negatively-Reinforced Text — LessWrong