Generative AI
Luma Labs Introduces Uni-1: An Autoregressive Transformer Model That Defines Intentions Before Imaging
March 24, 2026
Luma Labs Introduces Uni-1: An Autoregressive Transformer Model That Defines Intentions Before Imaging
In the field of AI-generated media, the industry is shifting from probabilistic pixel synthesis to…
How to design a production-ready AI agent that automates Google Colab workflows using Colab-MCP, MCP Tools, FastMCP, and Kernel Execution
March 23, 2026
How to design a production-ready AI agent that automates Google Colab workflows using Colab-MCP, MCP Tools, FastMCP, and Kernel Execution
import asyncio import json import io import contextlib import re from dataclasses import dataclass from typing import Callable, Awaitable import…
7 Steps to Mastering Memory in Agentic AI Systems
March 23, 2026
7 Steps to Mastering Memory in Agentic AI Systems
In this article, you will learn how to design, implement, and evaluate memory systems that make agentic AI applications more…
How Do BM25 and RAG Get Information Differently?
March 23, 2026
How Do BM25 and RAG Get Information Differently?
When you type a query into a search engine, something has to decide which documents are really important – and…
Using Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent
March 22, 2026
Using Deep Q-Learning (DQN) from Scratch Using RLax JAX Haiku and Optax to Train a CartPole Reinforcement Learning Agent
In this tutorial, we use a reinforcement learning agent RLaxa research-oriented library developed by Google DeepMind to build reinforcement learning…
Coding for Design and Analysis of Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Synthesis of Materials Project
March 22, 2026
Coding for Design and Analysis of Crystal Structures Using Pymatgen for Symmetry Analysis, Phase Diagrams, Surface Generation, and Synthesis of Materials Project
header("11. DISORDERED STRUCTURE -> ORDERED APPROXIMATION") disordered = Structure( Lattice.cubic(3.6), [{"Cu": 0.5, "Au": 0.5}], [[0, 0, 0]], ) disordered.make_supercell([2, 2,…
Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)
March 21, 2026
Safely Deploying ML Models to Production: Four Controlled Strategies (A/B, Canary, Interleaved, Shadow Testing)
Deploying a new machine learning model to production is one of the most important phases of the ML lifecycle. Even…
Coding Implementation to Build an Uncertainty-Based LLM System with Self-Assessment, Self-Assessment, and Automated Web Research
March 21, 2026
Coding Implementation to Build an Uncertainty-Based LLM System with Self-Assessment, Self-Assessment, and Automated Web Research
In this tutorial, we build a large uncertainty-aware linguistic modeling system that not only generates answers but also estimates confidence…
NVIDIA Releases Nemotron-Cascade 2: Open 30B MoE with 3B Operating Parameters, Brings Better Thinking and Powerful Agentic Capabilities
March 20, 2026
NVIDIA Releases Nemotron-Cascade 2: Open 30B MoE with 3B Operating Parameters, Brings Better Thinking and Powerful Agentic Capabilities
NVIDIA has announced the release of Nemotron-Cascade 2open weight 30B Mixed-Expert (MoE) model with 3B activated parameters. The model focuses…
A Coding Implementation Demonstration of ClawTeam's Multi-Agent Swarm Orchestration with OpenAI Function Calling
March 20, 2026
A Coding Implementation Demonstration of ClawTeam's Multi-Agent Swarm Orchestration with OpenAI Function Calling
SWARM_TOOLS = [ { "type": "function", "function": { "name": "task_update", "description": "Update the status of a task. Use 'in_progress' when…