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Liquid AI released LFM2-VL-3B, a 3B parameter vision language model for image text to text tasks. It extends the LFM2-VL...
Fine-tuning has become much more accessible in 2024–2025, with parameter-efficient methods letting even 70B+ parameter models run on consumer GPUs.
Computer-use agents have been limited to primitives. They click, they type, they scroll. Long action chains amplify grounding errors and...
Microsoft today held a live announcement event online for its Copilot AI digital assistant, with Mustafa Suleyman, CEO of Microsoft’s...
Is the Google Search for internal enterprise knowledge finally here…but from OpenAI? It certainly seems that way. Today, OpenAI has...
Open vocabulary object detectors answer text queries with boxes. In remote sensing, zero shot performance drops because classes are fine...
Fine-tuning has become much more accessible in 2024–2025, with parameter-efficient methods letting even 70B+ parameter models run on consumer GPUs.
arXiv:2510.15020v2 Announce Type: replace-cross Abstract: Language models demonstrate remarkable abilities when pre-trained on large text corpora and fine-tuned for specific...
arXiv:2510.19181v1 Announce Type: new Abstract: This paper presents a question answering system that operates exclusively on a knowledge graph retrieval...
Datalab Lift vs the Field: How a 9B Schema-First Extractor Compares with NuExtract3, LlamaExtract, Marker, and Docling
Databricks Open-Sources Omnigent: A Meta-Harness That Composes, Governs, and Shares AI Agents Across Claude Code, Codex, and Pi
Databricks open-sources declarative ETL framework powering 90% faster pipeline builds
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
Data readiness for agentic AI in financial services
Data Processing for the OpenGPT-X Model Family
Data centers love solar: Here’s a comprehensive guide to deals over 100 megawatts
Data center demand drives 66% surge in natural gas power plant costs
Data Augmentation for Spoken Grammatical Error Correction
Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data
