#offline distillation

54 related articles

Jul 31, 2026·5 min

Halo: A Real-Time Anti-Deepfake Tool That Detects AI Face-Swapping in Video Calls

Halo is a local real-time deepfake detection tool that identifies AI-synthesized faces during Zoom, Teams, and Google Meet video calls to prevent face-swapping fraud.

Jul 30, 2026·3 min

Epilude: A Fully Local Mac AI Voice Input Tool Review

Epilude is a fully local macOS AI voice input tool that converts speech to polished written text with a push-to-talk hotkey. Review covers privacy, features, and cloud tool comparisons.

Jul 30, 2026·2 min

Speech To Markdown: Local AI Voice-to-Structured Markdown Note-Taking Tool

Speech To Markdown is a free macOS/iOS app that converts voice to structured Markdown notes using local LLMs. Fully offline, no API keys needed, with global hotkey dictation.

Jul 30, 2026·2 min

AI Real-Time Translation Earbuds Buying Guide: Technology, Top Products & Recommendations

In-depth analysis of AI real-time translation earbuds: technical principles, mainstream product comparisons (Google Pixel Buds, Timekettle, etc.), and buying recommendations for different scenarios.

Jul 28, 2026·3 min

PIRL Framework Explained: A Smooth Transition from Open-Loop Exploration to Closed-Loop Reinforcement Learning

Deep dive into the PIRL reinforcement learning framework: how to smoothly transition from open-loop exploration to closed-loop RL, mitigating the exploration-exploitation dilemma and improving sample efficiency.

Jul 28, 2026·4 min

Kimi K2/K3 Technical Speculation: Deep Dive into RL Hyperparameters and Multi-Teacher Distillation

Deep analysis of RL hyperparameter tuning challenges and 9-policy multi-teacher distillation in Kimi K2/K3 training, exploring the shift from scale to training craft.

Jul 28, 2026·2 min

Chrome Built-in AI Explained: How Locally Running Models Protect Your Privacy

Explore Chrome Built-in AI technology and how running AI models locally in the browser enables zero data upload, instant responses, and stronger privacy protection.

Jul 28, 2026·2 min

Chrome Built-in AI Explained: How Locally Running Models Protect Your Privacy

Deep dive into Chrome Built-in AI technology, exploring how running AI models locally in the browser achieves zero data uploads, instant responses, and stronger privacy protection.

Jul 27, 2026·1 min

Radxa Cubie A7Z Real-World Test: 330ms End-to-End Object Detection Latency Under Full NPU Load

Deep analysis of Radxa Cubie A7Z achieving 330ms glass-to-glass object detection latency under full NPU load, covering latency breakdown, practical use cases, and edge AI optimization strategies.

Jul 25, 2026·3 min

Rocky: An Open-Source Coding Agent with Minimal Architecture and Native DeepSeek Integration

Rocky is a minimal, transparent open-source coding agent with a core loop under a few hundred lines of Python, native DeepSeek search, Research mode, and built-in SWE benchmarking for reproducible agent experiments.

Jul 22, 2026·4 min

DeepSeek Open-Sources DeepSpec: A Full-Stack Breakdown of Speculative Decoding

DeepSeek open-sources DeepSpec, a full speculative decoding training and evaluation toolkit featuring three draft model algorithms (Ego3, DeepFlash, DeepSpark), 12 checkpoints, MIT license, and 60–85% real-world speedup.

Jul 21, 2026·3 min

27B Parameter LLM on an iPhone? A Deep Dive into On-Device Full-Parameter AI

Startup Prismo claims to compress a 27B-parameter model to 4GB for full local inference on iPhone 17 Pro. We break down the compression tech, compare it to Apple's MoE approach, and assess real-world limits.

Jul 20, 2026·3 min

Running a 27B Model on iPhone: How 1-bit Quantization Achieves Extreme Compression

PrismML's Bonsai compresses a 27B model from 54GB to 3.9GB, running at ~11 tokens/sec on iPhone. A deep dive into QAT, knowledge distillation, and speculative decoding.

Jul 20, 2026·2 min

Grok 4.5 Is Back Online: A Deep Dive Into Model Selection and the Persistent Problem of Usage Limits

Grok 4.5 is back online, and Kimi 3 is on the way. This deep dive explores the multi-model landscape, complementary capabilities, cost strategies, and why usage limits persist across Claude, Gemini, and Grok.

Block Low-Rank Compression: A Guide to…

Jul 19, 2026·2 min

Block Low-Rank Compression: A Guide to Accelerating Large Model Inference on Memory-Constrained GPUs

Learn how Block Low-Rank (BLR) decomposition compresses large model memory usage and accelerates GPU inference, including CUDA kernel optimization and combination with quantization and pruning.

Bonsai 27B: The First 1-bit LLM That R…

Jul 17, 2026·3 min

Bonsai 27B: The First 1-bit LLM That Runs on Your Phone — A New Milestone for On-Device AI

Bonsai 27B is the first 27B-parameter LLM that runs on smartphones via 1-bit quantization, compressing to 3–4GB. We break down the tech, privacy benefits, and community debate.

Jul 17, 2026·3 min

Complete Guide to Deploying LLMs Locally on RobotCore Mini: From Ollama Installation to Web Interface Setup

A complete guide to deploying LLMs locally on RobotCore Mini using Ollama — covering model pulling, CLI verification, Web backend setup, and LAN access.

Jul 17, 2026·2 min

Training a CPU-Native LLM on Zero Budget: The Architectural Gamble of Ternary Quantization × Sparse MoE

An indie dev attempts to train a CPU-native LLM on $0 budget using ternary quantization, sparsity, and fine-grained MoE — with pre-registered success criteria and full public reporting.

Jul 16, 2026·2 min

Local AI Coding in Android Studio: Running Gemma Models Offline

Google demoed running Gemma local LLMs directly in Android Studio at I/O Connect, enabling offline AI coding with full privacy — no code leaves your machine.

Jul 16, 2026·3 min

AI Daily: Alibaba Open-Sources Dance Model, World Model Launches, First AI-Native Phone Debuts

Alibaba open-sources 14B dance model Wan-Dancer, AutoNavi launches World Studio, Stepfun debuts AI-native phone STEPS NEO; GPT-5.6 file deletion and AI companion shutdowns spark safety and regulation debates.