POMA AI Achieves Best-in-Class RAG Chunking and Document Ingestion With 77% Token Reduction vs. Conventional Models

Out of the box,POMA PrimeCut uses 77% fewer tokens than conventional models. The figure rises to 83% when used in customized ...
VentureBeat

New technique makes RAG systems much better at retrieving the right documents

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Retrieval-augmented generation (RAG) has ...
DATAQUEST

Google Gemini Embedding 2: Multimodal AI Model for Enterprise Search

Google introduces Gemini Embedding 2, a powerful multimodal AI model supporting text, images, video, and audio to enhance ...
JD Supra

Unpacking Averages: Searching for Bias in Word Embeddings Trained on FDA Regulatory Documents

This post explores how bias can creep into word embeddings like word2vec, and I thought it might make it more fun (for me, at least) if I analyze a model trained on what you, my readers (all three of ...
Geeky Gadgets

Easily analyze PDF documents using AI and Ollama

If you’re looking for ways to use artificial intelligence (AI) to analyze and research using PDF documents, while keeping your data secure and private by operating ...
Crowdfund Insider

Artificial Intelligence: Ocrolus Adds OpenAI GPT Embeddings for Deeper Automation in Financial Document Analysis

Ocrolus, a key player focused on AI-driven document automation for faster and more accurate lending decisions, announced it has integrated GPT embeddings from OpenAI into its set of technologies. The ...