Actualités
LlamaAgents Builder: From Prompt to Deployed AI Agent in Minutes
Creating an AI agent for tasks like analyzing and processing documents autonomously used to require...
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs
arXiv:2505.09338v1 Announce Type: new Abstract: We observe a novel phenomenon, contextual entrainment, across a wide...
Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?
arXiv:2511.13646v1 Announce Type: cross Abstract: Large Language Models (LLMs) are reshaping almost all industries, including...
Listen to Earth’s rumbling, secret soundtrack
The boom of a calving glacier. The crackling rumble of a wildfire. The roar of...
Listen Labs raises $69M after viral billboard hiring stunt to scale AI customer interviews
Alfred Wahlforss was running out of options. His startup, Listen Labs, needed to hire over...
Liquid AI’s New LFM2-24B-A2B Hybrid Architecture Blends Attention with Convolutions to Solve the Scaling Bottlenecks of Modern LLMs
The generative AI race has long been a game of ‘bigger is better.’ But as...
Liquid AI’s LFM2-VL-3B Brings a 3B Parameter Vision Language Model (VLM) to Edge-Class Devices
Liquid AI released LFM2-VL-3B, a 3B parameter vision language model for image text to text...
Liquid AI Ships LFM2.5-230M with llama.cpp, MLX, vLLM, SGLang, and ONNX Support for On-Device Inference
Liquid AI shipped LFM2.5-230M, it’s the company’s smallest model to date. The release targets a...
Liquid AI Releases LocalCowork Powered By LFM2-24B-A2B to Execute Privacy-First Agent Workflows Locally Via Model Context Protocol (MCP)
Liquid AI has released LFM2-24B-A2B, a model optimized for local, low-latency tool dispatch, alongside LocalCowork...
Liquid AI Releases LFM2.5-VL-3B: A 3B Vision-Language Model That Reads Screens, Grounds Objects, and Calls Tools On-Device
Yesterday, Liquid AI released LFM2.5-VL-3B. It is a 3.1B-parameter vision-language model built for on-device deployment...
Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for Vision-Language Models With Up to 3.13x Faster Decoding
Liquid AI has announced LFM2.5-VL-3B-DSpark, an experimental speculative-decoding draft model for its LFM2.5-VL-3B vision-language model...
Liquid AI Releases LFM2.5-Encoder-230M and LFM2.5-Encoder-350M: Bidirectional Encoders That Stay Fast at 8K Context on CPU
Liquid AI has released two open-weight bidirectional encoders, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M. Both are masked language...
