Initial prompt to each LLM. Download Scientific Diagram

How I think about LLM prompt engineering

The architecture of today's LLM applications - The GitHub Blog

Future Internet, Free Full-Text

How to Create a Custom Language Model

Harnessing the power of enterprise data with generative AI: Insights from Kendra, LangChain, and large language models

The Guide To LLM Evals: How To Build and Benchmark Your Evals, by Aparna Dhinakaran

Successfully Mitigating LLM Bias: Introspection & Prompt Engineering with LLM-Genie!

Leveraging LLMs on your domain-specific knowledge base, by Michiel De Koninck

Choosing the right language model for your NLP use case, by Janna Lipenkova

Grounding LLMs - Microsoft Community Hub

Securing LLM Systems Against Prompt Injection

Cameron R. Wolfe, Ph.D. on X: Powerful LLMs like GPT-4 can follow complex instructions, but building applications with less capable LLMs requires breaking a single, detailed instruction into a “chain” of simpler

How to use prompt engineering with large language models

LLM Monitoring and Observability — A Summary of Techniques and Approaches for Responsible AI, by Josh Poduska

The architecture of today's LLM applications - The GitHub Blog