Fine-Tuning vs Retrieval-augmented generations (RAGs) in Machine Learning #RAGs #prompt #chatgpt4o

In this video, we dive into the fascinating world of machine learning by comparing Fine-Tuning and Retrieval-Augmented Generations (RAGs). Discover how fine-tuning adapts pre-trained models for specific tasks through additional training on task-specific data, enhancing performance for applications like sentiment analysis and resume screening. We also explore how RAGs combine retrieval and generation techniques to dynamically fetch and generate relevant responses, offering a flexible and efficient alternative with lower resource requirements. Join us to understand the strengths, challenges, and practical applications of these two powerful approaches in machine learning!
Large language models, which are the AI algorithms that power chat-bots like ChatGPT, are powerful because they are trained on enormous amounts of publicly available data from the inter-net. While they are capable of summarizing, creating, predicting, translating and synthesizing text and other con-tent, they can only do so on the data they have been trained on, at a specific point in time.
That's why businesses are looking to methods like retrieval-augmented generation, or RAG, and fine-tuning to bridge the gap between the general knowledge these LLMs have and the up-to-date and specific knowledge that makes them useful for enter-prises.
‪@WhatIsExplained‬

OUTLINE:
00:00:00 Introduction to Fine Tuning
00:00:34 How Fine-Tuning Works
00:01:27 Sentiment Analysis for Customer Reviews
00:02:40 Resume Screening for Job Applicants
00:03:57 Example Workflow
00:04:38 Benefits of Fine-Tuning in HR
00:05:36 Why Fine-Tuning Is Expensive Compared to RAGs
00:07:14 Fine-Tuning vs Retrieval-Augmented Generation (RAG)

#LargeLanguageModels
#AI
#ChatBots
#ChatGPT
#ArtificialIntelligence
#MachineLearning
#NaturalLanguageProcessing
#DataTraining
#RAG
#RetrievalAugmentedGeneration
#FineTuning
#EnterpriseAI
#AIinBusiness
#TechInnovation
#DataScience #ai #foundationdesign #RAGs #promptengineering #chatgpt4o #MachineLearning #FineTuning #RetrievalAugmentedGeneration #RAGs #ArtificialIntelligence #NLP #DataScience #DeepLearning #AI #PreTrainedModels #TechExplained #EcommerceAI #HRTech #SentimentAnalysis #ResumeScreening