AI Guide

Comprehensive AI guides, tutorials, and learning resources.

Reinforce Only What the Robot Actually Did: Inside SmoothRL's Async Online RL

Reinforce Only What the Robot Actually Did: Inside SmoothRL's Async Online RL

Robot foundation models keep getting bigger, which means slower inference. Real deployments hide that latency with asynchronous inference: the robot keeps executing the current action chunk while the model computes the next one. It's smooth, it's necessary — and it quietly breaks online reinforcement learning. Here's the problem. With async execution, the actions the model planned and the …

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NVIDIA's Speculative Decoding Guide: How Model Design Meets the Hardware Limit

NVIDIA's Speculative Decoding Guide: How Model Design Meets the Hardware Limit

On September 2, NVIDIA quietly dropped an official inference guide on speculative decoding and model–hardware co-design. It's rare for a chip vendor to publish a formal spec for how a model should be architected against the physical limits of its silicon. The centerpiece is a selection table of the six mainstream acceleration schemes, plus a surprisingly hard constraint equation that ties …

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Train a Biped Robot With RL: Getting Started With Microduck

Train a Biped Robot With RL: Getting Started With Microduck

Microduck is a 25 cm, 800 g open-source biped robot from Pollen Robotics (Hugging Face) that ships with seven pre-trained moves — walking, sitting, kicking, grabbing with its beak, roller-skating, and standing back up after a fall. What makes it worth your time as a developer isn't the cuteness: the entire software stack is on GitHub under Apache-2.0, and you can train new gaits yourself …

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Archify: Generate Architecture Diagrams from Any Codebase

Archify: Generate Architecture Diagrams from Any Codebase

Use the Archify agent skill to turn any codebase into interactive, verifiable architecture diagrams in Claude Code, Cursor, Codex, OpenCode.

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Detect LLM Hallucinations with HCPD: Zero-Source, 88% AUROC

Detect LLM Hallucinations with HCPD: Zero-Source, 88% AUROC

Detect LLM hallucinations with just the Q&A pair: HCPD (ICML 2026) hits 88.19% AUROC on Llama-3.1-8B; code open source on GitHub.

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How to Make Videos With OpenAI Codex: A Step-by-Step Guide

How to Make Videos With OpenAI Codex: A Step-by-Step Guide

Make videos with OpenAI Codex: Remotion code-first workflows, Hyperframes connectors, and pro tips for shipping motion graphics fast.

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OpenVINO AI Inference Acceleration Guide: Fast Local LLMs Without a Discrete GPU

OpenVINO AI Inference Acceleration Guide: Fast Local LLMs Without a Discrete GPU

OpenVINO is Intel open-source. Convert PyTorch or ONNX models to its format for faster CPU inference on Intel hardware, plus iGPU and NPU.

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Baidu PaddlePaddle AI Studio Guide: Free GPU to Run LLMs (Qwen, GLM, LLaMA)

Baidu PaddlePaddle AI Studio Guide: Free GPU to Run LLMs (Qwen, GLM, LLaMA)

PaddlePaddle AI Studio offers free V100 compute via daily check-ins: run Qwen, GLM, and LLaMA in the browser and fine-tune models without a GPU.

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OCR Scanned PDFs to Text: Offline OCR It Guide

OCR Scanned PDFs to Text: Offline OCR It Guide

OCR It is a free, MIT-licensed Chrome/Firefox extension from the Firecrawl team: pin a screen region once, hotkey through a scanned book or locked PDF viewer, and export a text transcript for your LLM. Runs 100% offline on bundled Tesseract — no API key, no network.

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Durable Agent State: Resume, Replay & Reconcile

Durable Agent State: Resume, Replay & Reconcile

Your agent made the right call — and your system still broke. The user clicked "confirm refund", the page refreshed, the approval banner vanished, and nobody knows whether the refund should run. Worse: the request reached the payment gateway, the backend restarted before writing local state, and recovery re-triggered the refund. Twice. That's the gap between "an agent can run one loop" an …

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Falcon-TST 2.0: Quantile Time Series Forecasting in Python

Falcon-TST 2.0: Quantile Time Series Forecasting in Python

Forecast with Falcon-TST 2.0: open source, tops GIFT-Eval at MASE 0.666. pip install falcon-tst, run quantile_predict, get 21 quantiles.

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DM0.5 Open-Source VLA: Deploy Robot Policies on a 4090

DM0.5 Open-Source VLA: Deploy Robot Policies on a 4090

Deploy Dexmal DM0.5, the Apache-2.0 VLA that tops the RoboDojo benchmark: Docker setup, HTTP inference, dataset registration, and 4090 fine-tuning.

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