InTDS ArchivebyLihi Gur Arie, PhDExtracting Structured Vehicle Data from ImagesBuild an Automated Vehicle Documentation System that Extracts Structured Information from Images, using OpenAI API, LangChain and Pydantic.Jan 27Jan 27
InLevel Up CodingbyJúlio AlmeidaClaude 3.5 — The King of Document IntelligenceAchieving Near-Perfect Document Intelligence with Claude 3.5 Sonnet and Haiku. Classification, Splitting, and ExtractionOct 29, 202415Oct 29, 202415
Sebastian PetrusTop 10 RAG Frameworks Github Repos 2024Retrieval-Augmented Generation (RAG) has emerged as a powerful technique for enhancing the capabilities of large language models.Sep 4, 202411Sep 4, 202411
InGenerative AIbyKenny VaneetveldeForget LangChain, CrewAI and AutoGen — Try This Framework and Never Look BackIn the rapidly evolving field of artificial intelligence, developers are inundated with frameworks and tools promising to simplify the…Oct 21, 202436Oct 21, 202436
BavalpreetSinghhTransformer from scratch using PytorchIn today’s blog we will go through the understanding of transformers architecture. Transformers have revolutionized the field of Natural…Jun 15, 20245Jun 15, 20245
InTDS ArchivebyTomaz BratanicImplementing GraphReader with Neo4j and LangGraphElevating RAG accuracy and performance by structuring long documents into explorable graphs and implementing graph-based agent systemsSep 21, 202410Sep 21, 202410
InTDS ArchivebyMarco PeixeiroMixture of KAN Experts for High-Performance Time Series ForecastingExplore the RMoK model and its architecture, and apply it in a small experiment using Python.Sep 11, 20244Sep 11, 20244
Agent IssueSay Hello to ‘Her’: Real-Time AI Voice Agents with 500ms Latency, Now Open SourceVoice Mode is hands down one of the coolest features in ChatGPT, right?Aug 17, 202413Aug 17, 202413
InTDS ArchivebyMariya MansurovaFrom Basics to Advanced: Exploring LangGraphBuilding single- and multi-agent workflows with human-in-the-loop interactionsAug 15, 20243Aug 15, 20243
InTDS ArchivebyBenjamin MarieMulti-GPU Fine-tuning for Llama 3.1 70B with FSDP and QLoRAWhat you can do with only 2x24 GB GPUs and a lot of CPU RAMAug 8, 20242Aug 8, 20242
InTDS ArchivebyTomaz BratanicIntegrating Microsoft GraphRAG into Neo4jStore the MSFT GraphRAG output into Neo4j and implement local and global retrievers with LangChain or LlamaIndexJul 31, 202410Jul 31, 202410
M K Pavan KumarAdvanced Realtime RAG with Llama-Agents, Qdrant, and KafkaIn today’s data-driven world, the ability to process and retrieve information in real-time is crucial. This article delves into Advanced…Jul 21, 20242Jul 21, 20242
InTDS ArchivebyMaxime LabonneFine-Tune Llama 3.1 Ultra-Efficiently with UnslothA beginner’s guide to state-of-the-art supervised fine-tuningJul 29, 20245Jul 29, 20245
InTDS ArchivebyAlvaro Corrales CanoForecasting in the Age of Foundation ModelsBenchmarking Lag-Llama against XGBoostJul 20, 20242Jul 20, 20242
InTDS ArchivebyMarco PeixeiroLag-Llama: Open-Source Foundation Model for Time Series ForecastingExplore the architecture of Lag-Llama and learn to apply it in a forecasting project using PythonFeb 13, 20244Feb 13, 20244
InTDS ArchivebyHarys DalviEDA for Word EmbeddingsData scientists use EDA for everything. Why not word embeddings?Jul 12, 20242Jul 12, 20242
InTDS ArchivebyYanli LiuWhy Representation Finetuning is the Most Efficient Approach Today?A Step-by-Step Guide to Representation Finetuning LLAMA3May 26, 202410May 26, 202410
InGoPenAIbyM K Pavan KumarImproved RAG with Llama3 and OllamaIn this article we will see on how to implement an advanced RAG with fully local infrastructure leveraging the most advanced openly…Apr 19, 20248Apr 19, 20248
InTDS ArchivebyYanli LiuBuilding Local RAG Chatbots Without Coding Using LangFlow and OllamaA Quick Way to Prototype RAG Applications Based on LangChainApr 8, 20246Apr 8, 20246
Madhav Thaker(Part 1) Build your own RAG with Mistral-7B and LangChainLLMs have taken the world by storm and rightfully so. They help you with every day tasks like building a coding project, creating a recipe…Nov 14, 202316Nov 14, 202316