Advancing international trade research and finding community
Source: MIT News – Artificial intelligence The sense of support and community was palpable when Sojun Park, a...
How to Design a Production-Ready AI Agent That Automates Google Colab Workflows Using Colab-MCP, MCP Tools, FastMCP, and Kernel Execution
Source: MarkTechPost In this tutorial, we build an advanced, hands-on tutorial around Google’s newly released colab-mcp, an open-source...
On algorithms, life, and learning
Source: MIT News – Artificial intelligence From enhancing international business logistics to freeing up more hospital beds to...
How BM25 and RAG Retrieve Information Differently?
Source: MarkTechPost When you type a query into a search engine, something has to decide which documents are...
Implementing Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent
Source: MarkTechPost In this tutorial, we implement a reinforcement learning agent using RLax, a research-oriented library developed by...
Meet GitAgent: The Docker for AI Agents that is Finally Solving the Fragmentation between LangChain, AutoGen, and Claude Code
Source: MarkTechPost The current state of AI agent development is characterized by significant architectural fragmentation. Software devs building...
A Coding Implementation for Building and Analyzing Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Materials Project Integration
Source: MarkTechPost In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using...
Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)
Source: MarkTechPost Deploying a new machine learning model to production is one of the most critical stages of...
A Coding Implementation to Build an Uncertainty-Aware LLM System with Confidence Estimation, Self-Evaluation, and Automatic Web Research
Source: MarkTechPost In this tutorial, we build an uncertainty-aware large language model system that not only generates answers...
NVIDIA Releases Nemotron-Cascade 2: An Open 30B MoE with 3B Active Parameters, Delivering Better Reasoning and Strong Agentic Capabilities
Source: MarkTechPost NVIDIA has announced the release of Nemotron-Cascade 2, an open-weight 30B Mixture-of-Experts (MoE) model with 3B...