End to end example of a Retail Agent implemented with agents for Amazon Bedrock
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Updated
Mar 15, 2024 - Python
End to end example of a Retail Agent implemented with agents for Amazon Bedrock
This Guidance helps software companies set up a automated system to detect error logs, generate bug fixes, and create pull requests. Helps companies balance addressing bugs while also competing with product and feature development pressure.
Building reliable Retrieval Augmented Generation(RAG) AI Architecture
Sample Solution for a Public Speaking Mentor GenAI Assistant using Amazon Bedrock
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Universal Prompt Security Standard (UPSS): A framework for externalizing, securing, and managing LLM prompts and genAI systems, inspired by and extending OWASP OPSS concepts for any organization or project.
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VLM-Image-Analysis: A Vision-and-Language Modeling Framework.
This project is a Movie/Series/Drama Recognizer and Recommender that uses dialogue excerpts to identify media titles, genres, cast, directors, and other key information. It also recommends related titles based on the recognized media. The system leverages external APIs and web scraping to fetch details like IMDb rating, number of votes, and poster.
Repo to try out langchain
This repository helps in generating Minutes of Meeting in a standard format.
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