#importance sampling

71 related articles

Jul 13, 2026·3 min

Expanding BERT Classification Categories: Three Incremental Fine-Tuning Strategies and Solutions to Catastrophic Forgetting

Expanding BERT classification categories? Compare three strategies—pre-declaring all classes, extending the classification head, and full retraining—plus solutions like EWC, data replay, and LoRA/Adapter to combat catastrophic forgetting.

Jul 13, 2026·4 min

Do You Still Need to Hand-Code Machine Learning Algorithms in the AI Era? The Answer and the Method

With AI tools everywhere, is it still worth hand-coding SVM, decision trees, and other ML algorithms? This article explores the real value of hand-coding, the limits of AI tools, and smarter learning strategies for beginners in the AI era.

Jul 12, 2026·5 min

Can a Mixture of Experts Beat a Single Large Model? A Deep Dive into the Hermes 2.0 Architecture

A hands-on analysis of the Hermes 2.0 hybrid multi-agent system: can multi-model collaboration beat a single top-tier LLM? We break down how the Mixture of Experts (MoE) architecture works, AgentOS features, and model-agnostic design.

Jul 12, 2026·5 min

How Does AI Conquer Imperfect Information Games? A Deep Dive into Tactico

Chess and Go have been conquered by AI, but imperfect information games with hidden data are the true frontier. This article dives deep into Tactico: how imitation learning + self-play RL train AI toward Nash equilibrium.

Jul 12, 2026·5 min

Hands-On with PageAgent: Add AI Agent Capabilities to Web Pages with a Single Line of Code

In-depth hands-on review of Alibaba's open-source web automation tool PageAgent: three integration methods, script execution analysis, and a full breakdown of current limitations. Add AI Agent capabilities to web pages with one line of JS.

Jul 12, 2026·3 min

DeepSeek-V4 Flash RL Training Successfully Ported to AMD MI355X GPU: A Complete Breakdown

The Miles team and AMD announce the full port of DeepSeek-V4 Flash RL training to AMD Instinct MI355X GPUs on ROCm, boosting AIME pass@1 from 0.39 to 0.49—a milestone for compute ecosystem diversity.

Jul 12, 2026·5 min

Krea 2 Turbo Style Reference LoRA: Define Your Generation Style with a Single Image

ostris releases the Krea 2 Turbo Style Reference LoRA, supporting single or multi-image style extraction for precise AI style transfer. Open-source, free, and locally deployable.

Jul 12, 2026·5 min

In-Depth Comparison of AI Image Generation Tools: How to Choose Between Flux, Midjourney, and Gemini?

A comprehensive comparison of mainstream AI image generation tools: Flux, Midjourney, Grok, Gemini, and Stable Diffusion. Dissecting their pros and cons across quality, freedom, and usability to help you find the right AI drawing solution.

Jul 12, 2026·5 min

Zero-Dependency AI Decision Record Auditor: A Practical Guide to Building Traceable AI Systems

An in-depth analysis of the zero-dependency decision record auditor: from AI compliance and incident postmortems to human-AI accountability, exploring how 'Governance as Code' enables traceable, transparent AI decision-making.

Jul 12, 2026·6 min

Grok 4.5 Coding Benchmark: A Deep Dive into Performance, Speed, and Cost

xAI releases Grok 4.5, purpose-built for coding agents. 80 TPS speed, $2/M input tokens, SWE Bench Pro score of 64.7, and 4.2x better token efficiency than Opus 4.8. A deep hands-on review.

Jul 11, 2026·7 min

Practical RL Compute Optimization: Core Strategies to Boost CPU and GPU Utilization

An in-depth look at why CPU and GPU utilization is low in RL training, covering vectorized environment parallelism, distributed Actor-Learner architectures, GPU-side simulation (Isaac Gym/Brax), and Ray RLlib practice.

Jul 11, 2026·6 min

Is AI Really Smart? The Future Directions and Capability Boundaries of Next-Generation Artificial Intelligence

Are large language models truly intelligent? This article analyzes core AI limitations — pattern matching, hallucinations, reasoning deficits — and explores next-gen directions like inference-time compute, neuro-symbolic AI, and embodied intelligence.

Jul 11, 2026·7 min

Gemini Live Integrates Nano Banana: A Complete Guide to Real-Time Camera, Image Generation, and Maps Integration

Google's Gemini Live now integrates the Nano Banana image generation model with Connected Apps like Google Maps, supporting real-time camera scene understanding and visualization. Free worldwide.

Jul 10, 2026·6 min

Databricks Agent Framework in Practice: A Guide to ChatAgent Wrapping and Production Deployment

A deep dive into Databricks Agent Framework (Mosaic AI): unify LangGraph/OpenAI agents via ChatAgent, log & evaluate with MLflow, version with Unity Catalog, and deploy Model Serving Endpoints for production AI agents.

Jul 10, 2026·4 min

Reinforcement Learning for AI Agents: A Deep Dive into RLHF and Agentic RL

A deep dive into RL for AI agents: from RLHF to Agentic RL, covering PPO vs. GRPO, sparse rewards, tool-calling optimization, and verifiable rewards.

Jul 10, 2026·5 min

Advanced Vibe Coding: How SuperPowers and GStack Make AI Coding Truly Converge

In the age of AI-assisted programming, how do you make tools like Codex and Claude Code output more stably? This article deeply analyzes SuperPowers and GStack, covering project-level orchestration and module-level code layering to help developers master AI coding.

Jul 9, 2026·4 min

FTPO: A Training-Level Solution to AI Repetition Loops

FTPO (Final Token Preference Optimization) tackles AI "Doom Loops" at the training level rather than patching them at inference time — exploring its principles, value for small/quantized models, and open challenges.

Jul 9, 2026·6 min

Unsloth Major Update: DeepSeek-V4 Support and a Deep Dive into NVFP4 Quantized Export

Unsloth v0.1.481-beta adds full DeepSeek-V4-Flash support, NVFP4/FP8/imatrix GGUF quantized export, 1.3x faster GRPO, 3-5x faster MoE training, and an OpenAI-compatible API service in Studio.

Jul 9, 2026·7 min

Zero-Basis Learning Path for AI Agents: A Three-Stage Journey from Beginner to Deployment

A systematic zero-basis learning path for AI Agent development, covering Python and LLM fundamentals, five core capabilities like task planning and RAG, and LangChain hands-on practice.

Jul 8, 2026·7 min

LangSmith Engine: An Intelligent Operations Tool That Automatically Diagnoses and Fixes Agent Failures

LangChain's LangSmith Engine is an intelligent agent tool for tracking Agent failures, prioritizing issues, and auto-drafting fixes. Deep dive into its core capabilities, sandbox isolation, sub-Agent architecture, and continuous evaluation challenges.