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Domain: towardsdatascience.com Added: 2025-08-28 Status: βœ“ Success
towardsdatascience.com
Important details (e.g., coverage limits and obligations in insurance policies) are buried in dense, unstructured text that is challenging for the average person to sift through and digest. Large lang...
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Introducing Google’s LangExtract tool
https://towardsdatascience.com/introducing-googles-langextract-tool-2/
One announcement that caught my eye in particular occurred at the end of July, when Google released a new text processing and data extraction tool cal...
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Generating Structured Outputs from LLMs
https://towardsdatascience.com/generating-structured-outputs-from-llms/
However, the user base of LLMs is much larger than the 8 billion humans living on Earth. It expands to millions of software programs that can potentia...
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Unlocking Multimodal Video Transcription with Gemini
https://towardsdatascience.com/unlocking-multimodal-video-transcription-with-gemini/
A quick heads-up before we start: - I’m a developer at Google Cloud. I’m happy to share this article and hope you’ll learn a few things. Thoughts and ...
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Enable stakeholder data access with Text-to-SQL RAGs
https://www.startdataengineering.com/post/data-democratize-llm/
Enable stakeholder data access with Text-to-SQL RAGs - 1. Introduction - 2. TL;DR - 3. Enabling Stakeholder data access with RAGs - 3.1. Set up - 3.2....
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Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration - PyImageSearch
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Table of Contents - Setting Up LLaVA/BakLLaVA with vLLM: Backend and API Integration - Why vLLM for Multimodal Inference - Configuring Your Developmen...
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The End of the Train-Test Split
https://folio.benguzovsky.com/train-test
You are a machine learning engineer at Facebook in Menlo Park. Your task: build the best butt classification model, which decides if there is an expos...
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Systematic LLM Prompt Engineering Using DSPy Optimization
https://towardsdatascience.com/systematic-llm-prompt-engineering-using-dspy-optimization/
The field of applied AI, which typically involves building pipelines that connect data to Large Language Models (LLMs) in a way that generates busines...
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2 Years of ML vs. 1 Month of Prompting
https://www.levs.fyi/blog/2-years-of-ml-vs-1-month-of-prompting/
2 Years of ML vs. 1 Month of Prompting November 7, 2025 Recalls at major automakers cost hundreds of millions of dollars a year. It’s a huge issue. To...
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Chunking Tabular Data RAG and Search Systems
https://pub.towardsai.net/chunking-tabular-data-rag-and-search-systems-655ab0d6def0?source=rss----98111c9905da---4
Chunking Tabular Data for RAG and Search Systems When working with Retrieval-Augmented Generation (RAG) or search systems, we often focus on how to ch...
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Error extracting title
https://medium.com/@mustafaakin/indexing-icloud-photos-with-ai-using-llava-and-pgvector-fd58182febf6
Indexing iCloud Photos with AI Using LLaVA and pgvector A straightforward idea, gluing stuff together until it works, but it’s a glimpse of what’s pos...
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