Retrieval-Augmented Generation.
Imagine a program that uses a cutting-edge AI tool called Llama to quickly
summarize PDFs. No more wading through pages! But that's not all. Let's
say you're reading a research paper and something sparks a question. This
program can search a vast vector database and deliver the best possible
answer, with an accuracy rate near 99%. Need a concise overview of a legal
document for a meeting? Summarize it with Llama, then ask the program to
pinpoint key terms or clauses you might have missed. Finally, picture a
student studying for an exam. They can upload their textbook chapters, get
summaries from Llama, and ask targeted questions to solidify their
understanding. This AI-powered tool can revolutionize how we interact with
information!
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Thought Behind
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How Geema has been Used #here
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Go-To use-case
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Working Proof into IDE
1. Generating Verctor Database from Document
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2. Vector Database Completed
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3. Vector Database Completed
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