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marktechpost17d
Edge AI
LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...
marktechpost18d
Meet LangGraph Multi-Agent Swarm: A Python Library for Creating Swarm-Style Multi-Agent Systems Using LangGraph
LangGraph Multi-Agent Swarm is a Python library designed to orchestrate multiple AI agents as a cohesive “swarm.” It builds on LangGraph, a framework for constructing robust, stateful agent workflows, ...
marktechpost23d
Microsoft Researchers Introduce ARTIST: A Reinforcement Learning Framework That Equips LLMs with Agentic Reasoning and Dynamic Tool Use
LLMs have made impressive gains in complex reasoning, primarily through innovations in architecture, scale, and training approaches like RL. RL enhances LLMs by using reward signals to guide the model ...
marktechpost24d
AI That Teaches Itself: Tsinghua University’s ‘Absolute Zero’ Trains LLMs With Zero External Data
LLMs have shown advancements in reasoning capabilities through Reinforcement Learning with Verifiable Rewards (RLVR), which relies on outcome-based feedback rather than imitating intermediate ...
marktechpost1mon
Vision Foundation Models: Implementation and Business Applications
CLIP by OpenAI excels at connecting images with natural language, making it powerful for zero-shot image classification and retrieval tasks.
marktechpost1mon
Xiaomi introduced MiMo-7B: A Compact Language Model that Outperforms Larger Models in Mathematical and Code Reasoning through Rigorous Pre-Training and Reinforcement Learning
With rising demand for AI systems that can handle tasks involving multi-step logic, mathematical proofs, and software development, researchers have turned their attention toward enhancing models’ ...
marktechpost1mon
DeepSeek-AI Released DeepSeek-Prover-V2: An Open-Source Large Language Model Designed for Formal Theorem, Proving through Subgoal Decomposition and Reinforcement Learning
Formal mathematical reasoning has evolved into a specialized subfield of artificial intelligence that requires strict logical consistency. Unlike informal problem solving, which allows for intuition ...
marktechpost1mon
How to Create a Custom Model Context Protocol (MCP) Client Using Gemini
In this tutorial, we will be implementing a custom Model Context Protocol (MCP) Client using Gemini. By the end of this tutorial, you will be able to connect your own AI applications with MCP servers, ...
marktechpost1mon
ByteDance Releases UI-TARS-1.5: An Open-Source Multimodal AI Agent Built upon a Powerful Vision-Language Model
ByteDance has released UI-TARS-1.5, an updated version of its multimodal agent framework focused on graphical user interface (GUI) interaction and game environments. Designed as a vision-language ...
marktechpost1mon
Long-Context Multimodal Understanding No Longer Requires Massive Models: NVIDIA AI Introduces Eagle 2.5, a Generalist Vision-Language Model that Matches GPT-4o on Video Tasks ...
In recent years, vision-language models (VLMs) have advanced significantly in bridging image, video, and textual modalities. Yet, a persistent limitation remains: the inability to effectively process ...
marktechpost1mon
Stanford Researchers Propose FramePack: A Compression-based AI Framework to Tackle Drifting and Forgetting in Long-Sequence Video Generation Using Efficient Context Management ...
Video generation, a branch of computer vision and machine learning, focuses on creating sequences of images that simulate motion and visual realism over time. It requires models to maintain coherence ...
marktechpost1mon
Serverless MCP Brings AI-Assisted Debugging to AWS Workflows Within Modern IDEs
Serverless computing has significantly streamlined how developers build and deploy applications on cloud platforms like AWS. However, debugging and managing complex architectures—comprising services ...