The researchers from Bytedance introduce proto-seasoning: improve LLM generalization via prototypes based on logic
Moonshot AI unveils Kimi-Researcher: an agent formed RL learning for reinforcement for complex reasoning and web research
Beginning with Microsoft’s Presidio: a step -by -step guide to detect and anonymous information personally identifiable Pii in the text
CMU researchers introduce Go-Browse: a framework based on graphics for the training of the scalable web agent
A coding guide to build an asynchronous Python SDK ready for production with rate limitation, memory cache and authentication
Sakana Ai presents teachers (RLT) learned to reinforcements: Effective dists reasoning in LLMs using learning to reinforce on small scale
The new executive of AI assesses where AI should automate vs increase jobs, explains Stanford’s study
Verina: LLM assessment on the generation of verifiable code from start to finish with formal evidence
Building personalized AI agents Loan for production for business workflows with surveillance, orchestration and scalability
The researchers from Texas A&M introduce a two-phase automatic learning method called “Shockcast” for a high-speed flow simulation with neural temporal re-MESHING
Google researchers publish Magenta in real time: an open weight model for the generation of real -time AI music
Deepseek Open Researchers A Personal Project called “Nano-VLLM”: Light VLLM implementation built from zero
IBM gateway: a model of model context protocol based on the model based on unified Fastapi for new generation tool channels
Mistral Ai Liberates Mistral Small 3.2: following improved instruction, reduced repetition and stronger function calling for the integration of AI
Build AI agents focused on events with UAGENTS and Google Gemini: a modular python implementation guide
Why the generalization in the rate of flow correspondence comes from the approximation, not from stochasticity
Meta AI researchers have introduced a self-regressive U-Net model of evolutionary bytes which surpasses transformers based on tokens through the modeling of the language modeling
Build a random number agent in accordance with A2A: a step -by -step guide to implement the low -level executor model with Python
Researchers have daring ideas for AI to MIT GENERATIVE IA Impact Consortium Consortium Kickoff Event | News put
Poe-World + Planner surpasses RL Ballines Reinforcement in Montezuma’s revenge with minimum demonstration data
Build an intelligent multi-tool AI agent interface using Streamlit for seamless real-time interaction
UC Berkeley presents Cybergym: a real cybersecurity assessment framework to assess AI agents on large -scale vulnerabilities through massive bases
This Google AI document introduces a causal frame to interpret the equity of sub-groups in automatic learning assessments
From Backend Automation to Frontend Collaboration: What’s New in AG-IT last update for the AI Agent-Muser-USE interaction
Minimax AI publishes Minimax-M1: a hybrid model of 456b parameter for RL tasks of long context and strengthening learning and strengthening
Revisual-R1: a model of large multimodal language (MLLMS) open source which reaches long, precise and thoughtful reasoning
HTFLIB: a unified comparative analysis library to assess heterogeneous federated learning methods through the modalities
Why the models of small languages (SLM) are ready to redefine the AI agent: efficiency, cost and practical deployment
How to create an advanced brightdata web scraper with Google Gemini for data extraction powered by AI
Overcomitration: to accelerate a training of significant reasoning model with learning in fully asynchronous strengthening
Build high performance financial analysis pipelines with polar: lazy evaluation, advanced expressions and SQL integration
EPFL researchers introduce memories: an evolutionary framework for the edition of model for life in LLMS
How to use Python-A2A to create and connect financial agents with the agent agent protocol of Google (A2A)
OpenBMB publishes Minicpm4: ultra-effective language models for Edge devices with sparse attention and rapid inference
Stepfun presents Step-Audio-Aqaa: an audio language model entirely from start to finish for natural vocal interaction
EPFL researchers unveil FG2 to CVPR: a new AI model that reduces localization errors by 28% for autonomous vehicles in GS environments.
Microsoft AI presents the code researcher: an in -depth research agent for the code of major systems and commits history
The announcement generated by the AI-Créée with the Google VEO3 is broadcast during the NBA final, reduction in production costs by 95%
Maximization of internal consistency (ICM): a training frame without label and not supervised for LLMS
Sakana Ai presents text in Lora (T2L): a hypernet that generates LLM adapters specific to the task (Loras) based on a description of the task of the task
Google AI unveils an A-Physics hybrid model for precise regional climate risk forecasts with better assessment of uncertainty
Apple researchers reveal structural failures in large reasoning models using puzzles based on puzzles
This article AI presents VLM-R³: a multimodal framework for the recognition, reasoning and refinement of regions in visual-linguistic tasks
Meta Ai Publishes V-Jepa 2: Open-Source self-supervised world models for understanding, prediction and planning
Cure: a strengthening learning framework for the co-evolution code and the generation of unit tests in the LLM
Mistral AI publishes a masterful series: Advanced LLMS of the thought chain for business and open source applications
NVIDIA researchers introduce dynamic memory sparsification (DMS) for 8 × KV cache compression in the LLMS transformer
How much do the language models really memorize? Meta’s new frame defines the capacity of the model at the bit of the bit
Meta presents Llamarl: an RL framework for reinforcement learning based on an evolutionary Pytorch for effective LLM training on a large scale
Brenden Burgess 
