InAI AdvancesbyMichael Ryaboy10x Cheaper PDF Processing: Ingesting and RAG on Millions of Documents with Gemini 2.0 FlashPicture this: you start by converting every PDF page into images, then send them off for OCR, only to wrestle the raw text into workable…Feb 1311Feb 1311
InLevel Up CodingbyFareed KhanBuilding a 2 Billion Parameter LLM from Scratch Using PythonIt starts making senseJan 1520Jan 1520
InWren AIbyHoward ChiHow Uber is Saving 140,000 Hours Each Month Using Text-to-SQL — And How You Can Harness the Same…Discover how Uber’s Text-to-SQL technology streamlines data queries and learn how to apply this efficiency to your operations.Jan 312Jan 312
Mastering LLM (Large Language Model)11 Chunking Strategies for RAG — Simplified & VisualizedRetrieval-Augmented Generation (RAG) combines pre-trained language models with information retrieval systems to produce more accurate and…Nov 2, 2024Nov 2, 2024
InTowards AIbyLouis-François BouchardAdvanced Vector Indexing Techniques for RAGIndexing Methods for Vector RetrievalNov 19, 2024Nov 19, 2024
InArtificial Intelligence in Plain EnglishbyLam HoangHow Chunk Sizes Affect Semantic Retrieval ResultsAn in-depth introduction to the concept of “chunking” and its relevance when working with Large Language Models (LLMs).Mar 11, 20248Mar 11, 20248
InCubedbyMichael WoodThe Insanity of Relying on Vector Embeddings: Why RAG FailsIn RAG, the goal is to locate the stored information that has the highest percentage of sameness to the provided query. Vector similarity…Nov 21, 202467Nov 21, 202467
InAI AdvancesbyLore Van OudenhoveWhy embedding matters when building a non-English RAG system — Multilingual embeddingsDiscover why multilingual embeddings are crucial for RAG systems, with a detailed comparison of English vs. multilingual models in Dutch.Nov 11, 20243Nov 11, 20243
InTDS ArchivebyDominik Polzer17 (Advanced) RAG Techniques to Turn Your LLM App Prototype into a Production-Ready SolutionA collection of RAG techniques to help you develop your RAG app into something robust that will lastJun 26, 202430Jun 26, 202430
InTDS ArchivebyDominik PolzerAll You Need to Know about Vector Databases and How to Use Them to Augment Your LLM AppsA Step-by-Step Guide to Discover and Harness the Power of Vector DatabasesSep 17, 202313Sep 17, 202313
InAI AdvancesbyRichardson GundeThe PDF Extraction Revolution: Why PymuPDF4llm is Your New Best Friend (and LlamaParse is Crying)Hey there, data-loving friends! Ready for some serious AI magic? Picture this: you’re knee-deep in PDFs, trying to extract information for…Oct 31, 202429Oct 31, 202429
InTDS ArchivebyUmair Ali KhanMultimodal AI Search for Business ApplicationsEnabling businesses to extract real value from their dataNov 1, 20245Nov 1, 20245
InTowards AIbyKenny VaneetveldeThis Simple AI-powered Python Script will Completely Change How You WorkAs programmers, we often find ourselves in situations when we need to give our wrists a break. Be it long coding sessions or the urge for a…Aug 13, 202410Aug 13, 202410
Suman DasFine Tune Large Language Model (LLM) on a Custom Dataset with QLoRAThe field of natural language processing has been revolutionized by large language models (LLMs), which showcase advanced capabilities and…Jan 25, 202421Jan 25, 202421
InTowards AIbyAnoop MauryaHighlighting and Annotating PDFs on UI Using Streamlit for Retrieval-Augmented Generation (RAG)Photo by Martín Castañeda on UnsplashOct 6, 20241Oct 6, 20241
InTDS ArchivebyThuwarakesh MurallieI Fine-Tuned the Tiny Llama 3.2 1B to Replace GPT-4oIs the fine-tuning effort worth more than few-shot prompting?Oct 15, 202429Oct 15, 202429
InLevel Up CodingbyGao Dalie (高達烈)LangGraph + Adaptive Rag + LLama3 Python Project: Easy AI/Chat for your DocsIn this Story, I have a super quick tutorial for you showing how to create a fully local chatbot with LangGraph, Adaptive Rag and LLama3 to…May 3, 20243May 3, 20243
InTowards AIbyFlorian JuneAdvanced RAG 02: Unveiling PDF ParsingIncluding key points, diagrams, and codeFeb 2, 202422Feb 2, 202422
InKX SystemsbyRyan SieglerHigh-Precision RAG for Table Heavy Documents… (Using LangChain, Unstructured.io, & KDB.AI)Why does RAG on table rich documents suck?Aug 21, 20244Aug 21, 20244
InAI AdvancesbyPrince KrampahExtracting Meaning from Tables in Financial Statements With LLMs and Chatbots (Using Unstructured.ioHello guys, welcome back to another exciting project. Chatting with textual data using LLMs and chatbots has become easy and…Aug 13, 20245Aug 13, 20245