Generative AI

Microsoft Releases Phi-4-Reasoning-Vision-15B: A Multimodal Compact Model for Math, Science, and GUI Understanding

Microsoft Releases Phi-4-Reasoning-Vision-15B: A Multimodal Compact Model for Math, Science, and GUI Understanding

Microsoft has released it Phi-4-consultation-opinion-15Ba 15 billion parameter multimodal reasoning model with open weights designed for graphic and text tasks…
Google AI Releases Android Benchmark: Test Framework and Leaderboard for LLMs in Android Development

Google AI Releases Android Benchmark: Test Framework and Leaderboard for LLMs in Android Development

Google has officially released it Android Benchmarka new leaderboard and testing framework designed to measure how well LLMs work specifically…
Liquid AI Releases LocalCowork Funded LFM2-24B-A2B to Implement Privacy-First Local Agent Workflows with Model Context Protocol (MCP)

Liquid AI Releases LocalCowork Funded LFM2-24B-A2B to Implement Privacy-First Local Agent Workflows with Model Context Protocol (MCP)

Liquid AI released LFM2-24B-A2Ba model optimized for local, low-latency, hardware deployment LocalCoworkan open source desktop agent application available from their…
Vector databases vs. Agent Memory RAG Graph: When to Use Which

Vector databases vs. Agent Memory RAG Graph: When to Use Which

In this article, you'll learn how vector databases and RAG graphs differ as memory structures for AI agents, and where…
How to Build an EverMem-Style Persistent AI Agent OS with Hierarchical Memory, FAISS Vector Retrieval, SQLite Storage, and Automated Memory Consolidation

How to Build an EverMem-Style Persistent AI Agent OS with Hierarchical Memory, FAISS Vector Retrieval, SQLite Storage, and Automated Memory Consolidation

class EverMemAgentOS: def __init__( self, workdir: str = "/content/evermem_agent_os", db_name: str = "evermem.sqlite", embedding_model: str = "sentence-transformers/all-MiniLM-L6-v2", gen_model: str =…
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