Deepseek-Ai has published Deepseek-Prover-V2: an open source model designed for the formal theorem, proving by subgoral decomposition and learning to strengthen
Salesforce AI Research introduces new references, railings and model architectures to advance trusted and confidence meetings in terms of AI
Meta Ai presents Reasonir-8B: a retriever focused on the reasoning optimized for the efficiency and the rag performance
The user -friendly system can help developers create more effective simulations and AI models | News put
Microsoft AI has published the boost of Phi-4: an open weight reasoning model in parameter 14B which performs solid performance on complex reasoning tasks
Explore the sparse border: how researchers from Edinburgh, Cohere and Meta rethink the attention mechanisms for LLM at Long-Context
A step -by -step coding guide to integrate Dappier AI real -time search and real -time recommendation with the OpenAi Cat API
Multimodal ia on developer GPUs: Alibaba Liberates Qwen2.5-OMNI-3B with lower use and model performance of almost 7b
MEM0: an evolutionary memory architecture allowing a persistent structured recall for long -term AI conversations through the sessions
Diagnosis and self-corporation of LLM agents’ failures: a deep technical dive in the results of the benches τ with Atla Evaltoolbox
Google NoteBooklm launches audio previews in more than 50 languages, expanding global accessibility for the AI summary
Tutorial on transparent access to any LinkedIn profile with Ex-MCP-Server and Claude Desktop using the MCP model context protocol
Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing Building | News put
Learning strengthening for messaging agents: the art of openpipe surpasse o3 in precision, latency and cost
The Wavlab team is Versa outings: a complete and versatile assessment tool box to assess the signals of speech, audio and music
The Alibaba Qwen team has just released Qwen3: the latest generation of large -language models in the Qwen series, offering a full suite of dense models and networks mixing (MOE)
Build fully autonomous data analysis pipelines with the framework of the prery agent: coding implementation
A coding tutorial of the context protocol of model focused on the semantic sector, dynamic tokens management and context rating for effective LLM interactions
Tiny models, large reasoning gains: USC researchers present Tina for profitable learning to strengthen Lora
Researchers from Sea Ai Lab, Ucas, Nus and SJTU present Flowreasoner: a meta-agent at the request for the generation of personalized systems
This Chinese AI document offers a new approach deer without training that allows large models of reasoning language to reach an early dynamic outing in reasoning
Brenden Burgess 
