Now It’s Claude’s World: How Anthropic Overtook OpenAI in the Enterprise AI Race
Source: MarkTechPost The tides have turned in the enterprise AI landscape. According to Menlo Ventures’ 2025 “Mid-Year LLM...
7 Essential Layers for Building Real-World AI Agents in 2025: A Comprehensive Framework
Source: MarkTechPost Building an intelligent agent goes far beyond clever prompt engineering for language models. To create real-world,...
ByteDance Introduces Seed-Prover: An Advanced Formal Reasoning System for Automated Mathematical Theorem Proving
Source: MarkTechPost LLMs have shown notable improvements in mathematical reasoning by extending through natural language, resulting in performance...
Tutorial: Exploring SHAP-IQ Visualizations
Source: MarkTechPost In this tutorial, we’ll explore a range of SHAP-IQ visualizations that provide insights into how a...
A Technical Roadmap to Context Engineering in LLMs: Mechanisms, Benchmarks, and Open Challenges
Source: MarkTechPost Estimated reading time: 4 minutes Table of contents What Is Context Engineering? Taxonomy of Context Engineering...
The Ultimate Guide to CPUs, GPUs, NPUs, and TPUs for AI/ML: Performance, Use Cases, and Key Differences
Source: MarkTechPost Artificial intelligence and machine learning workloads have fueled the evolution of specialized hardware to accelerate computation...
Building an End-to-End Object Tracking and Analytics System with Roboflow Supervision
Source: MarkTechPost In this advanced Roboflow Supervision tutorial, we build a complete object detection pipeline with the Supervision...
DeepReinforce Team Introduces CUDA-L1: An Automated Reinforcement Learning (RL) Framework for CUDA Optimization Unlocking 3x More Power from GPUs
Source: MarkTechPost Estimated reading time: 6 minutes Table of contents The Breakthrough: Contrastive Reinforcement Learning (Contrastive-RL) How Good...
Google AI Releases MLE-STAR: A State-of-the-Art Machine Learning Engineering Agent Capable of Automating Various AI Tasks
Source: MarkTechPost MLE-STAR (Machine Learning Engineering via Search and Targeted Refinement) is a state-of-the-art agent system developed by...
MIT Researchers Develop Methods to Control Transformer Sensitivity with Provable Lipschitz Bounds and Muon
Source: MarkTechPost Training large-scale transformers stably has been a longstanding challenge in deep learning, particularly as models grow...