RAG and Fine-Tuning Explained
With Morten Rand-Hendriksen
Liked by 1,020 users
Duration: 20m
Skill level: General
Released: 6/25/2024
Course details
Successful AI integration in mission-critical systems requires data accuracy. The current best method for this is using Retrieval Augmented Generation (RAG) in combination with fine-tuned language models. In this short course you’ll get a high-level breakdown of how RAG and fine-tuning works, when they are useful, and where pitfalls are for these approaches.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Abhishek Junnarkar
Abhishek Junnarkar
Senior Vice President | Platform Engineering & Cloud Modernization | Agentic specialist | AI Community Builder & Mentor at Scale | Marathoner
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Chris Blackwell
Chris Blackwell
Strategic Technology Leader | AI, AI Infra, & Agentic AI | Cloud, Enterprise Architecture & Data Modernization | Security & Zero Trust | Driving…
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Dhamu Packiriswamy
Dhamu Packiriswamy
Multi-Agent AI Orchestration | System Design | Staff Software Engineer – AI/ML
Contents
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