Artificial Intelligence

Evaluating massive language fashions (LLMs) is each scientifically and economically pricey. As the sphere races towards ever-larger fashions, the methodology for evaluating and evaluating them turns into more and more crucial—not only for benchmark scores, however for knowledgeable improvement selections. Latest analysis from the Allen Institute for Synthetic Intelligence (Ai2) introduces a strong framework centered…

On this tutorial, we implement a totally useful Ollama atmosphere inside Google Colab to duplicate a self-hosted LLM workflow. We start by putting in Ollama immediately on the Colab VM utilizing the official Linux installer after which launch the Ollama server within the background to show the HTTP API on localhost:11434. After verifying the service,…

Hugging Face has just released AI Sheets, a free, open-source, and local-first no-code tool designed to radically simplify dataset creation and enrichment with AI. AI Sheets aims to democratize access to AI-powered data handling by merging the intuitive spreadsheet interface with direct access to leading open-source Large Language Models (LLMs) like Qwen, Kimi, Llama 3,…

dots.ocr is an open-source vision-language transformer model developed for multilingual document layout parsing and optical character recognition (OCR). It performs both layout detection and content recognition within a single architecture, supporting over 100 languages and a wide variety of structured and unstructured document types. Architecture Unified Model: dots.ocr combines layout detection and content recognition into…