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Summarize Your Private Data with LLMs & Generative AI

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Duration

1 hour

level

Beginner

Rating

4.6

Review

36 Reviews

Enrolled

379 Enrolled

Learn how to summarize private data using Large Language Models (LLMs) and Generative AI. Discover techniques to extract key information and condense it into concise summaries for decision-making.

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At a Glance

Learn how to use generative AI (LLMs) to help you understand and generate the most important information from a large corpus of text. This could be used to help summarize a large document, or to help you find specifically what you want from large corpus of text (e.g. “How much did Company X charge us in Q2 for job Y?”).
In this Guided Project we will create a chatbot that allows you to upload a PDF file, then subsequently ask questions to the chatbot about the contents of the PDF.

In today’s age of information overload, we’re often faced with vast amounts of data that can be overwhelming. Among this deluge of data, lies the key pieces of information we seek – akin to finding a needle in a haystack. With the rapid advancements in artificial intelligence, particularly in the field of generative models like large language models (LLMs), we now possess the tools to efficiently parse through, summarize, and understand this information. Understanding and leveraging the power of LLMs to generate or extract vital details from large texts not only aids in efficient information retrieval but also offers immense potential in areas like research, business analysis, and day-to-day decision-making processes.

A Look at the Project Ahead

By embarking on this project, learners will:
  • Grasp the Basics of Generative AI: Delve deep into how LLMs work, their underlying principles, and why they’re transformative in information extraction and generation.
  • Learn Automated Document Summarization: Equip yourself with the skills to generate concise summaries from extensive documents, retaining only the essential information, all with the help of LLMs.
  • Harness the Power of llama2: Understand the basic of the llama2 LLM and how it can be used with vector store databases and the langchain framework to extract specific data points from large texts, be it business documents, academic papers, or any other vast corpus.

What You’ll Need

For an optimal experience, use the latest versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

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Summarize Your Private Data with LLMs & Generative AI
Summarize Your Private Data with LLMs & Generative AI
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