Initial prompt to each LLM. Download Scientific Diagram
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Frontiers Artificial intelligence for health message generation: an empirical study using a large language model (LLM) and prompt engineering
Some questions of implementing LLM to generate Q/A pairs based on local documents : r/LocalLLaMA
Large language models and agricultural extension services
Retrieval-Augmented Generation: How to Use Your Data to Guide LLMs
Foundation Models and LLMs: a Complete Guide
Securing LLM Systems Against Prompt Injection
How to use GPT-4 and OpenAI's functions for text classification, by Kostas Stathoulopoulos, Discovery at Nesta
The future landscape of large language models in medicine
GenAI Stack Walkthrough: Build With Neo4j, LangChain & Ollama in Docker
Practical Prompt Engineering. Tips and tricks for successful…, by Cameron R. Wolfe, Ph.D.
Generating meaning: active inference and the scope and limits of passive AI: Trends in Cognitive Sciences
The Guide To LLM Evals: How To Build and Benchmark Your Evals, by Aparna Dhinakaran
LLM Chain OpenAI Python Example - Analytics Yogi
Prompts for Work & Play: Launching the Wolfram Prompt Repository—Stephen Wolfram Writings
