Prompt Engineering - Understanding Large Language Models from ChatGPT

(00:00) (00:00) A combination of Prompt Engineering and ChatGPT to learn the internals and technology behind large language models powering the new era of Artificial Intelligence.

A List of all prompts and keywords use in this video:

• https://github.com/prodramp/DeepWorks/blob/main/ChatGPT/LLM.md

== Video Timeline == (00:00) Content Intro (01:30) ChatGPT (02:43) Transformer architecture (09:10) Keywords Generation (13:38) Text embedding (17:43) Encoder and Decoder (18:32) Self attention (18:45) Multi-head self attention (21:56) PyTorch Code Multi-head self attention (23:37) Scaled Dot Product Attention (27:45) Key deep learning methods (28:53) Large language models (29:49) LLM Parameter Count (Python Code) (31:38) DALL-E large language model (33:17) Key Differences DALL-E & ChatGPT (34:20) List all Prompts (34:40) ChatGPT Session Summary

Please visit: https://prodramp.com | @prodramp https://www.linkedin.com/company/prodramp

Content Creator: Avkash Chauhan (@avkashchauhan) https://www.linkedin.com/in/avkashchauhan

Tags: #llm #chatgpt #promptengineering #openai #python #artificialintelligence ... https://www.youtube.com/watch?v=7SXCrW3hVPQ