Generative AI
How to Build a Risk-Aware AI Agent with an Inner Critic, Consistent Thinking, and Uncertainty Measurement for Reliable Decision Making
March 10, 2026
How to Build a Risk-Aware AI Agent with an Inner Critic, Consistent Thinking, and Uncertainty Measurement for Reliable Decision Making
class AgentAnalyzer: @staticmethod def plot_response_distribution(result: Dict): fig, axes = plt.subplots(2, 2, figsize=(14, 10)) fig.suptitle('Agent Response Analysis', fontsize=16, fontweight="bold") responses =…
ByteDance Releases DeerFlow 2.0: An Open-Source SuperAgent Harness That Organizes Sub-Agents, Memory, and Sandboxes to Execute Complex Tasks
March 10, 2026
ByteDance Releases DeerFlow 2.0: An Open-Source SuperAgent Harness That Organizes Sub-Agents, Memory, and Sandboxes to Execute Complex Tasks
The 'Copilot' era is officially getting a boost. While the tech world has spent the last two years getting comfortable…
Andrew Ng's Team Releases Content Hub: An Open Source Tool That Gives Your Coding Agent the Real-Time API Documentation It Needs
March 9, 2026
Andrew Ng's Team Releases Content Hub: An Open Source Tool That Gives Your Coding Agent the Real-Time API Documentation It Needs
In the fast-paced world of agent workflows, the most powerful AI model is only as good as its documentation. Today,…
'Bayesian' Development: Why Google's New AI Tutorial Is Key to Discussing LLM
March 9, 2026
'Bayesian' Development: Why Google's New AI Tutorial Is Key to Discussing LLM
Large Linguistic Models (LLMs) are the world's leading actors, but when it comes to cold, hard thinking to revise beliefs…
A Coding Guide to Building a Complete Pipeline for Single-Cell Sequencing Analysis Using Scanpy for Clustering and Cell Type Annotation
March 9, 2026
A Coding Guide to Building a Complete Pipeline for Single-Cell Sequencing Analysis Using Scanpy for Clustering and Cell Type Annotation
In this tutorial, we build a complete pipeline for single-cell RNA sequencing using Scanpy. We start by installing the necessary…
Andrej Karpathy Open-Sources 'Autoresearch': A 630-Line Python Tool That Enables AI Agents to Run Autonomous ML Experiments on Single GPUs
March 9, 2026
Andrej Karpathy Open-Sources 'Autoresearch': A 630-Line Python Tool That Enables AI Agents to Run Autonomous ML Experiments on Single GPUs
Andrej Karpathy has been released autoresearchis a small Python tool designed to enable AI agents to automate machine learning experiments.…
Beyond Accuracy: Measuring Productivity Weaknesses Caused by Excessive, Unwanted, and Underlying Signs of Regression
March 8, 2026
Beyond Accuracy: Measuring Productivity Weaknesses Caused by Excessive, Unwanted, and Underlying Signs of Regression
At first glance, adding more features to the model seems like an obvious way to improve performance. If the model…
Building Next-Gen Agentic AI: A Complete Framework for Cognitive Blueprint Driven Runtime Agents with Memory and Validation Tools
March 8, 2026
Building Next-Gen Agentic AI: A Complete Framework for Cognitive Blueprint Driven Runtime Agents with Memory and Validation Tools
In this tutorial, we build a complete mental blueprint and framework for a runtime agent. We describe systematic plans for…
How to Build a Progress Monitor Using tqdm Advanced for Async, Parallel, Pandas, Logging, and High Performance
March 8, 2026
How to Build a Progress Monitor Using tqdm Advanced for Async, Parallel, Pandas, Logging, and High Performance
print("5) Concurrency progress: thread_map / process_map") def cpuish(n: int) -> int: x = 0 for i in range(50_000): x =…
Google Launches TensorFlow 2.21 With LiteRT: Faster GPU Performance, New NPU Acceleration, And Improvements For Seamless PyTorch Edge Usage
March 7, 2026
Google Launches TensorFlow 2.21 With LiteRT: Faster GPU Performance, New NPU Acceleration, And Improvements For Seamless PyTorch Edge Usage
Google has officially released TensorFlow 2.21. The most important update in this release is LiteRT's graduation from its preview stage…