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Perplexity acquires Carbon, a Seattle startup that helps developers connect data sources to LLMs

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Founded in 2022, Carbon streamlines the way LLMs access unstructured data from third-party applications such as Google Drive and SharePoint. “We believe your AI should be personal to you at home, work, or on the go and data connectivity is a key part of everyone’s daily workflows,” Perplexity wrote in a blog post.

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Make Sense of a 10K+ Line GitHub Repos Without Reading the Code

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Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Make Sense of a 10K+ Line GitHub Repos Without Reading the Code No time to read huge GitHub projects?

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5 Error Handling Patterns in Python (Beyond Try-Except)

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app.

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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

AWS Machine Learning Blog

The available data sources are: Stock Prices Database Contains historical stock price data for publicly traded companies. Analyst Notes Database Knowledge base containing reports from Analysts on their interpretation and analyis of economic events. What was the closing price of Amazon stock on January 1st, 2022?

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10 FREE AI Tools That’ll Save You 10+ Hours a Week

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Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 10 FREE AI Tools That’ll Save You 10+ Hours a Week No tech skills needed.

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Large Language Models: A Self-Study Roadmap

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Recommended Learning Resources The Illustrated Transformer (Blog & Visual Guide): A must-read visual explanation of transformer models. Step 5: RAG & Vector Databases Retrieval-Augmented Generation (RAG) is a hybrid approach that combines information retrieval with text generation.

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Multi-tenancy in RAG applications in a single Amazon Bedrock knowledge base with metadata filtering

AWS Machine Learning Blog

Additionally, we dive into integrating common vector database solutions available for Amazon Bedrock Knowledge Bases and how these integrations enable advanced metadata filtering and querying capabilities. Metadata filtering allows you to segment data inside of an OpenSearch Serverless vector database.

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