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Building a Simple AI Application with Large Language Model (LLM) using LangChain

Mlearning.ai

LangChain Over the past few months, the AI world has been captivated by the incredible rise of Large Language Models (LLMs). What is Large Language Model ? So, in a simple ELI5 way, you can imagine you have a super-smart friend who knows everything about words and language.

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Unstructured data management and governance using AWS AI/ML and analytics services

Flipboard

But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly.

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Create a multimodal assistant with advanced RAG and Amazon Bedrock

AWS Machine Learning Blog

Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. Naive RAG models face limitations such as missing content, reasoning mismatch, and challenges in handling multimodal data.

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Information extraction with LLMs using Amazon SageMaker JumpStart

AWS Machine Learning Blog

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. Prompt engineering relies on large pretrained language models that have been trained on massive amounts of text data. .*"