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Prompt Engineering with OpenAI's GPT-3 and other LLMs

Generative AI and LLMs

In this video, we'll talk about how to build better prompts for OpenAI's GPT-3, Cohere LLMs, and open-source LLMs (like those on Hugging Face). We'll treat prompt engineering as a mix of engineering and artistry, using rules of thumb from OpenAI, Cohere, and others. All of these models are large language models (LLMs) capable of doing a huge range of tasks. Prompt engineering is the key to applying these models to different use cases. 📌 Code Notebook: https://github.com/pinecone-io/examples/blob/master/learn/generation/prompt-engineering.ipynb 🌲 Pinecone Gen AI Examples: https://github.com/pinecone-io/examples/tree/master/learn/generation 🎉 Subscribe for Article and Video Updates! https://jamescalam.medium.com/subscribe https://medium.com/@jamescalam/membership 👾 Discord: https://discord.gg/c5QtDB9RAP 00:00 What is Prompt Engineering? 02:15 Anatomy of a Prompt 07:03 Building prompts with OpenAI GPT 3 08:35 Generation / completion temperature 13:50 Few-shot training with examples 16:08 Adding external information 22:55 Max context window 27:18 Final thoughts on Gen AI and prompts #artificialintelligence #openai #gpt3 #deeplearning #nlp

About the course

The Generative AI and Large Language Models (LLMs) course covers everything you need to know about: - Generative AI - Large Language Models (LLMs) - OpenAI, Cohere, Hugging Face - Managed vs. Open Source - LLM Libraries like LangChain and GPT Index - Long-term memory and retrieval-augmentation And more to come...