LinkedIn – RAG and Fine-Tuning Explained 2024-6

RAG and Fine-Tuning Explained course. For AI to work well in our critical systems, our data must be accurate. The best way to do this is to use a combination of Retrieval Augmented Generation (RAG) and fine-tuned language models. In this short course, you will learn in general how RAG and Fine-tuning work, when to use them, and what problems may exist with these methods. More explanation about terms:

• RAG (Retrieval Augmented Generation): is a method for improving the answers of linguistic models, where the model uses information in a database instead of generating the answer from scratch.
• Fine-tuning: The process of retraining a pre-trained linguistic model on a specific data set to improve its performance on a specific task.

What you will learn

• software development
• Generative artificial intelligence
• Fine Tuning

This course is suitable for people who

• They want to have a better understanding of how large language models work.
• They are looking for ways to improve the accuracy and efficiency of artificial intelligence systems.
• They are interested in learning new techniques in the field of artificial intelligence.

Course details

• Publisher: LinkedIn
• Instructor: Morten Rand-Hendriksen
• Education level: General
• Training duration: 20 minutes

Course headings

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Sample video of the course

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Download file – 68 MB

File(s) password: www.downloadly.ir

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68 MB