What is RAGs in Artificial Intelligence? And Why it can be very powerful?
Release Date: 10/05/2024
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info_outlineWelcome back to the podcast! The host, Mukundan Sankar, is an experienced data professional and AI researcher. This episode will discuss Retrieval Augmented Generation (RAG) and how it's transforming our relationship with information.23
The Problem of Information Overload:
We are constantly bombarded with information, making it challenging to find what truly matters.
Traditional AI models and search engines can provide inaccurate, outdated information, or even fabricate information (AI hallucination).
What is RAG?
RAG is an AI model combining retrieval and generation, offering the best of both worlds.
Retrieval: Like a super-powered search engine, it searches vast data sources (documents, articles, reports) for the most relevant information based on the user's query.
Generation: Takes the retrieved data and summarizes it clearly, concisely, and engagingly.
How RAG Differs from Traditional Methods:
RAG goes beyond simple keyword matching; it seeks deeper connections, patterns, and contextual data.
It's grounded in real-time data from reliable sources, ensuring accuracy and trustworthiness.
Real-World Applications of RAG:
Personalized News Podcasts: RAG can scan news articles, extract key points, and convert them into an easily digestible audio format. Here is a look at my blog which looks at the application of RAG to convert Text News to Audio.
Research Summarization: It can condense complex research papers and scientific reports into key takeaways, saving users time and effort.
Efficient Workflows: RAG can summarize lengthy reports, highlighting the most crucial points for faster decision-making.
The Benefits of RAG:
Personalized Learning and Information Processing: RAG filters out irrelevant data and presents only what's useful to the individual.
Increased Efficiency: It automates information gathering and summarization, freeing up time for other tasks.
The Importance of Responsible AI Use:
While RAG is a powerful tool, its impact depends on our choices.
It's crucial to use RAG ethically and thoughtfully to shape a positive future.
What’s Next?
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You can also find me on Medium and Substack.
A blog that talks about application of RAG in News Articles here
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