Human reasoning naturally operates through abstract, non-verbal concepts rather than strictly relying on discrete linguistic tokens. However, current LLMs are…
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Mistral Launches Agents API: A New Platform for Developer-Friendly AI Agent Creation
Mistral has introduced its Agents API, a framework designed to facilitate the development of AI agents capable of executing a…
Lees meerA Step-by-Step Coding Implementation of an Agent2Agent Framework for Collaborative and Critique-Driven AI Problem Solving with Consensus-Building
In this tutorial, we implement the Agent2Agent collaborative framework built atop Google’s Gemini models. The guide walks through the creation…
Lees meerMeta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language Models
Multi-modal large language models (MLLMs) have shown great progress as versatile AI assistants capable of handling diverse visual tasks. However,…
Lees meerQwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning in Large Language Models
While large reasoning models (LRMs) have shown impressive capabilities in short-context reasoning through reinforcement learning (RL), these gains do not…
Lees meerResearchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODE Discovered via Evolutionary Search
Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making long-term predictions difficult. Even…
Lees meerThis AI Paper Introduces Differentiable MCMC Layers: A New AI Framework for Learning with Inexact Combinatorial Solvers in Neural Networks
Neural networks have long been powerful tools for handling complex data-driven tasks. Still, they often struggle to make discrete decisions…
Lees meerCan LLMs Really Judge with Reasoning? Microsoft and Tsinghua Researchers Introduce Reward Reasoning Models to Dynamically Scale Test-Time Compute for Better Alignment
Reinforcement learning (RL) has emerged as a fundamental approach in LLM post-training, utilizing supervision signals from human feedback (RLHF) or…
Lees meerStep-by-Step Guide to Creating Synthetic Data Using the Synthetic Data Vault (SDV)
Real-world data is often costly, messy, and limited by privacy rules. Synthetic data offers a solution—and it’s already widely used:…
Lees meerNVIDIA Releases Llama Nemotron Nano 4B: An Efficient Open Reasoning Model Optimized for Edge AI and Scientific Tasks
NVIDIA has released Llama Nemotron Nano 4B, an open-source reasoning model designed to deliver strong performance and efficiency across scientific…
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