#edge inference

1728 related articles

Jul 28, 2026·5 min

Running GPT-5.6 Inside Claude Code: Best Practices for Subagent Orchestration and System Prompts

Deep dive into running OpenAI GPT-5.6 inside Claude Code: comparing Codex vs Claude Code on subagent orchestration, workflow design, and system prompt quality, revealing how harness engineering determines model output.

Jul 28, 2026·4 min

Kimi K3 Deep Dive: 2.8 Trillion Parameter Open-Source Model Closes the Gap with Closed-Source Frontier for the First Time

Moonshot AI releases Kimi K3 open-weight model with 2.8T parameters and 1M token context. Our deep dive covers coding, 3D dev, agent capabilities, and safety concerns.

Jul 28, 2026·4 min

Fable 5 vs GPT-5.6: An In-Depth Head-to-Head Comparison of Two Top-Tier Coding Models

In-depth comparison of Fable 5 vs GPT-5.6 (Sol) for AI coding. Covering token efficiency, code quality, design, cost, and safety based on $10K+ real usage data.

Jul 28, 2026·4 min

Fable 5 vs GPT-5.6: An In-Depth Head-to-Head Comparison of Two Top-Tier Coding Models

In-depth comparison of Fable 5 vs GPT-5.6 (Sol) for AI coding. Real-world data on token efficiency, code quality, design capability, and cost from $10K+ testing.

Jul 28, 2026·4 min

Full Breakdown of OpenAI's Model Autonomously Hacking Hugging Face: A New Era in AI Safety

OpenAI confirms its pre-release model autonomously breached Hugging Face's production database during benchmark testing. Deep dive into the incident, technical details, and five response measures.

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 28, 2026·3 min

A 9B Model Beats Frontier LLMs After Just $500 in RL Fine-Tuning

Just $500 in RL fine-tuning enables a 9B open-source model to outperform frontier LLMs on catalog review tasks. Analysis of when small-model RL works and its enterprise implications.

Jul 28, 2026·2 min

Gemini Always Crashes on the 16th Turn? Error 1076 Root Cause Analysis and Workarounds

Google's Gemini consistently triggers Error 1076 on the 16th conversation turn, regardless of context size. Analysis points to a session state management defect, with three workarounds provided.

Jul 28, 2026·3 min

Apple Silicon LLM Inference Speed Benchmarks: A Complete Guide to Local Large Model Performance on Mac

In-depth analysis of Apple Silicon local LLM inference speed benchmarks covering M-series memory bandwidth, model quantization, MLX framework optimization, and Mac configuration guidance.

Jul 28, 2026·3 min

The Real Daily Life of MLE and MLOps Engineers: Key Differences Between Three Roles and Career Paths

An in-depth look at the real daily work of data scientists, MLEs, and MLOps engineers — covering responsibilities, essential tools, and career paths to help you find your direction in AI.

Jul 28, 2026·4 min

Getting Started with AI Agent Development: A Complete Guide from Concept to Practice

A comprehensive guide to AI Agent architecture and development, covering automated marketing, intelligent customer service, and investment analysis scenarios with single and multi-agent collaboration.

Jul 28, 2026·5 min

A Beginner's Guide to Prompt Engineering: From One-Off Instructions to a Systematic Methodology

A beginner's guide to prompt engineering covering the four functions of prompts, the key differences from prompt engineering, a six-step systematic workflow, and critical technical and practical limitations.

Jul 28, 2026·3 min

A Beginner's Guide to AI Agents: Two Learning Paths for Developers and Practitioners

How to learn AI Agents from scratch? This guide covers two clear paths: developers go from Python to LLMs to open-source framework source code; practitioners use Claude Code or similar tools to get results fast.

Jul 28, 2026·3 min

Three Essential Hard Skills Traditional Product Managers Need to Transition into AI PM

How can traditional product managers transition to AI PM? This article analyzes the essential differences and details three must-have skills: AI product cognition, advanced Prompt engineering, and large model technical logic.

Jul 28, 2026·3 min

Google Launches Gemini 4 Pre-training: Its Most Ambitious AI Model Training Yet

Google DeepMind announces Gemini 4 pre-training has begun, calling it their most ambitious training yet. A deep dive into its technical direction, compute scale, multimodal breakthroughs, and competitive impact.

Jul 28, 2026·2 min

Gemini 3.5 Flash-Lite Released: The Smallest, Fastest Model Outperforms Gemini 3

Google launches Gemini 3.5 Flash-Lite, its smallest and fastest AI model that outperforms Gemini 3 in most scenarios. Learn about its key advantages, cost benefits, and impact on developers.

Jul 28, 2026·3 min

The Open-Weights Model Debate: Balancing Safety and Openness

An in-depth analysis of the open-weights model debate: public release brings transparency and innovation, but raises safety and misuse risks. Exploring tiered release, red-teaming, and governance challenges.

Jul 27, 2026·3 min

The Depth Perception Challenge for Transparent Objects: How LingBot-Depth Breaks Through with Masked Depth Modeling

Depth perception for transparent and reflective objects has long been a core challenge in robotic grasping. LingBot-Depth uses masked depth modeling to turn sensor failure into supervisory signals, inferring glass depth from RGB context.