Published inAI AdvancesExtracting and Querying Table Data from PDF Invoices with RAGUsing Retrieval-Augmented Generation to Unlock Structured Data for Smarter Invoice1d ago1d ago
Published inAI AdvancesExtracting Text and Table Contents from PDF DocumentsA Survey of Python Libraries for Text and Table Extraction2d ago12d ago1
Published inAI AdvancesQuerying Receipts using RAGIntegrating LLMs and Vector Search for Intelligent Queries3d ago13d ago1
Published inAI AdvancesGetting Started with Copilot StudioBuild AI-Powered Assistants to Automate TasksFeb 18Feb 18
Published inAI AdvancesRunning Large Language Models (LLMs) on CPU using llama.cppLearn how to download, run models interactively, use them in Python, and expose them as REST APIsFeb 43Feb 43
Published inAI AdvancesAdvanced Chainlit: Building Responsive Chat Apps with DeepSeek R1, LM Studio, and OllamaLearn to Stream LLM Responses, Handle Interruptions, Manage Parallel User Requests, and Isolate Client Sessions in ChainlitFeb 31Feb 31
Published inAI AdvancesUnderstanding Model DistillationLearn what model distillation is and how it works by building one yourselfFeb 16Feb 16
Published inAI AdvancesOptimizing Hugging Face Model LoadingLearn How to Change the Cache Directory, Quantize Models, Use Mixed-Precision, and MoreJan 30Jan 30
Published inAI AdvancesIntegrating DeepSeek into your Python ApplicationsLearn how to use the DeepSeek chat and reasoning models in your Python applications using Ollama, Hugging Face, and the DeepSeek APIJan 276Jan 276
Published inAI AdvancesServer-Side AI Inferencing Made Easy: A Guide to Hugging Face EndpointDiscover how to leverage Hugging Face’s hosted models for seamless, server-side inferencing — no local setup requiredJan 261Jan 261