What is Retrieval Augmented Generation (RAG)

Augmenting LLMs with a Memory

Good morning fellow AI enthusiast! This week's iteration, and first one of the year, focuses on RAG! We go back to the basics.

If you've interacted with AI chatbots, you might have encountered responses that seemed a bit off, or even completely untrue. This is exactly where retrieval augmented generations (RAG) steps in, enhancing your AI model by injecting fresh knowledge into each interaction.

In this video, we're going to dive into RAG, and why it's becoming as crucial as the large language models (LLMs) and prompts we frequently hear about. Think of RAG as the essential textbook for your AI class, vital for success and understanding. We'll explore how RAG works to combat issues like hallucinations and biases in language models, using real-life examples and insights from experts in the field, including Jerry Liu CEO at LlamaIndex!

Whether you're a fellow AI enthusiast, a professional in the field, or just curious about the latest in AI, this video there to help you understand one of the most important advancements in artificial intelligence:

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Thank you for reading, and we wish you a fantastic week! Be sure to have enough rest and sleep!

Louis-François Bouchard

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