TagsAnthrogen Introduces Odyssey: A 102B Parameter Protein Language Model that Replaces Attention with Consensus and Trains with Discrete Diffusion

Tag: Anthrogen Introduces Odyssey: A 102B Parameter Protein Language Model that Replaces Attention with Consensus and Trains with Discrete Diffusion

AI

MiniMax Releases MiniMax M2: A Mini Open Model Built for Max Coding and Agentic Workflows at 8% Claude Sonnet Price and ~2x Faster

Mr Hossain - October 28, 2025 0

AI

Google vs OpenAI vs Anthropic: The Agentic AI Arms Race Breakdown

Mr Hossain - October 25, 2025 0

AI

Liquid AI’s LFM2-VL-3B Brings a 3B Parameter Vision Language Model (VLM) to Edge-Class Devices

Mr Hossain - October 24, 2025 0

AI

An Implementation on Building Advanced Multi-Endpoint Machine Learning APIs with LitServe: Batching, Streaming, Caching, and Local Inference

Mr Hossain - October 24, 2025 0

AI

Salesforce AI Research Introduces WALT (Web Agents that Learn Tools): Enabling LLM agents to Automatically Discover Reusable Tools from Any Website

Mr Hossain - October 24, 2025 0

AI

A Coding Guide to Build a Fully Functional Multi-Agent Marketplace Using uAgent

Mr Hossain - October 24, 2025 0

AI

UltraCUA: A Foundation Computer-Use Agents Model that Bridges the Gap between General-Purpose GUI Agents and Specialized API-based Agents

Mr Hossain - October 24, 2025 0

AI

Google AI Introduces FLAME Approach: A One-Step Active Learning that Selects the Most Informative Samples for Training and Makes a Model Specialization Super Fast

Mr Hossain - October 23, 2025 0

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