For LLMS, prompt engineering & RAG are usually good enough Published 2024-03-10 Download video MP4 360p Download video MP4 720p Recommendations 15:21 Prompt Engineering, RAG, and Fine-tuning: Benefits and When to Use 03:57 Lamport on discovering the Bakery Algorithm 02:51 People are finally waking up to WebAssembly (Wasm) 11:37 What is RAG? (Retrieval Augmented Generation) 15:07 Encoder-Decoder Transformers From Scratch!: PyTorch Deep Learning Tutorial Section 14 07:27 Lamport on writing "Time, Clocks, and the Ordering of Events in a Distributed System" 04:08 Gleam takes the best parts from Rust, Go & other top languages 1:00:18 Prompt-Engineering for Open-Source LLMs 25:27 LLM Prompt FORMATS make or break your LLM and RAG 05:49 AI vs Machine Learning 45:32 A Survey of Techniques for Maximizing LLM Performance 09:53 "okay, but I want GPT to perform 10x for my specific use case" - Here is how 12:42 4 Methods of Prompt Engineering 24:52 RAG-Fusion - From Basic to Advanced RAG and chatting with documents 06:40 Should You Use Open Source Large Language Models? 25:09 Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan 08:33 What is Prompt Tuning? 38:28 Using edge models to find sensitive data 02:44 What is an LLM (Large Language Model)? 15:42 MasterClass - Prompt Engineering, RAG and Fine-tuning LLM Usecases and benefits Similar videos 08:20 When to Use Prompt Engineering, RAG, or Finetuning a Model 41:36 Prompt Engineering Tutorial – Master ChatGPT and LLM Responses 08:30 Master the Perfect ChatGPT Prompt Formula (in just 8 minutes)! 10:24 What is a Prompt Engineer And Why Does it Pay so Much? 18:35 Building Production-Ready RAG Applications: Jerry Liu 59:48 [1hr Talk] Intro to Large Language Models 16:08 Better RAG: Hybrid Search in Chat with Documents | BM25 and Ensemble 00:54 Is RAG an essential component of the LLM stack? #llm #aisafety #artificialintelligence 30:19 This AI Skill Will Put You Ahead of 98% of People 58:51 Jerry Liu on the Future of AI: LlamaIndex, LLMs, RAG, Prompting and more 1:50:21 "Practical Techniques in Prompt Engineering, RAG, & Fine-Tuning" By BJ Allmon 14:11 Marker: This Open-Source Tool will make your PDFs LLM Ready 09:38 Why Large Language Models Hallucinate 15:46 Introduction to large language models 09:36 How to Improve your LLM? Find the Best & Cheapest Solution 50:55 AWS re:Invent 2023 - Prompt engineering best practices for LLMs on Amazon Bedrock (AIM377) More results