
VERINA: Evaluating LLMs on End-to-End Verifiable Code Generation with Formal Proofs
Source: MarkTechPost LLM-Based Code Generation Faces a Verification Gap LLMs have shown strong performance in programming and are...

Solving LLM Hallucinations in Conversational, Customer-Facing Use Cases
Source: MarkTechPost Or: Why “Can we turn off generation” might be the smartest question in generative AI Not...

LLMs factor in unrelated information when recommending medical treatments
Source: MIT News – Artificial intelligence A large language model (LLM) deployed to make treatment recommendations can be...
Building Production-Ready Custom AI Agents for Enterprise Workflows with Monitoring, Orchestration, and Scalability
Source: MarkTechPost In this tutorial, we walk you through the design and implementation of a custom agent framework...

EmbodiedGen: A Scalable 3D World Generator for Realistic Embodied AI Simulations
Source: MarkTechPost The Challenge of Scaling 3D Environments in Embodied AI Creating realistic and accurately scaled 3D environments...
Google Researchers Release Magenta RealTime: An Open-Weight Model for Real-Time AI Music Generation
Source: MarkTechPost Google’s Magenta team has introduced Magenta RealTime (Magenta RT), an open-weight, real-time music generation model that...
DeepSeek Researchers Open-Sourced a Personal Project named ‘nano-vLLM’: A Lightweight vLLM Implementation Built from Scratch
Source: MarkTechPost The DeepSeek Researchers just released a super cool personal project named ‘nano-vLLM‘, a minimalistic and efficient...
IBM’s MCP Gateway: A Unified FastAPI-Based Model Context Protocol Gateway for Next-Gen AI Toolchains
Source: MarkTechPost The development and deployment of advanced AI systems increasingly depend on flexible, robust orchestration layers that...

Why Apple’s Critique of AI Reasoning Is Premature
Source: MarkTechPost The debate around the reasoning capabilities of Large Reasoning Models (LRMs) has been recently invigorated by...
Texas A&M Researchers Introduce a Two-Phase Machine Learning Method Named ‘ShockCast’ for High-Speed Flow Simulation with Neural Temporal Re-Meshing
Source: MarkTechPost Challenges in Simulating High-Speed Flows with Neural Solvers Modeling high-speed fluid flows, such as those in...