Sources
AI EdTalks
How to optimize prompt engineering for large language models (LLMs)? Optimizing prompt engineering for large language models (LLMs) is an iterative process focusing on refining prompts to maximize output relevance, coherence, and alignment with desired outcomes. Here’s a… https://t.co/HNT2V88Qtq
echo.hive LLM Prompt Tuning Playbook By @VarunGodbole and Ellie Pavlick Summary This document, written by researchers Varun Godbole and Ellie Pavlick, focuses on prompt tuning for Large Language Models (LLMs). It aims to provide both mental models and practical techniques to improve… https://t.co/MOQv4lfoqi https://t.co/tlmatNgeIB
Ankur Goyal LLMs are a nice way to practice communicating with humans. If you can't create a prompt that an LLM can mostly understand, you'll have a hard time communicating the idea with another human too.
