498 related articles

Open-source LLMs processed 10 trillion tokens in under 3 months, hitting 300B daily. We break down what this milestone means and why open-source demand is accelerating.

A beginner-friendly guide to local AI model deployment, covering secure model downloads from Hugging Face, running inference, exporting to GGUF format, and high-performance local execution with llama.cpp.

Deep dive into LLM quantization formats Q8_K_XL vs MXFP4, explaining why FP8 ≠ Q8_0, debunking the "8-bit is lossless" myth for local deployment users.

Unsloth officially supports AMD GPUs across RDNA 3-4, Strix Halo, and MI300 series, delivering 2x training speedup and 70% VRAM savings on 500+ models with RL and vLLM weight sharing support.

Deep dive into the persistent-inference open-source project: solve TF/Keras cold start problems with just two files by keeping models resident in memory, eliminating reload overhead.

An in-depth analysis of 8 common myths about GenAI in software engineering, covering AI replacing programmers, code quality, productivity, security, and compliance.

Exploring training and running a small language model (SLM) on an ESP32-S3 microcontroller costing just $8. Learn about model design under extreme hardware constraints, quantization strategies, and edge AI's potential.

Perplexity Comet users report declining AI agent capabilities, with form-filling and automation tasks frequently refused. We analyze the causes from anti-automation detection, compliance risks, and model policy tightening perspectives.

How to run a fully local AI voice agent on a $50 Arduino Uno Q board, covering speech recognition, intent understanding, and TTS implementation for edge AI applications.

Deep dive into how the Hadamard Transform replaces matrix multiplication with only addition and subtraction for lightweight deep learning, covering FWHT principles, edge inference acceleration, and ultra-low-bit LLM quantization.

Kimi K3's hype faded within a week of its open-weight release, with cloud subscribers still needing extra credits. We analyze the monetization vs. user experience balance in today's fierce open-source LLM competition.

Deep analysis of why LLMs underperform XGBoost on structured tabular data, covering tokenizer damage to numerics, inductive bias mismatch, and hybrid solutions.

A U.S. company struck a $100M deal with Ukraine to deploy AI visual lock-on capabilities on 50,000 cheap kamikaze drones, enabling terminal autonomous guidance to defeat electronic warfare jamming.

Xberg v1 is an MIT-licensed open-source local document extraction engine. CPU-only, supporting 101 formats with built-in SPLADE and ColBERT retrieval, Rust-powered for RAG and ML pipelines.

Deep analysis of Nightcrawler, an AI penetration testing agent running entirely on smartphones. Exploring how on-device AI empowers cybersecurity testing, its architecture, use cases, and risks.

Deep analysis of RosaicLabs, Intel Atom core RTL licensing, and 32-Tile AMX expansion — exploring x86 architecture's open licensing and customization transformation in the AI era.

In just 4 years, AI image generation evolved from blurry "nightmare fuel" to photorealistic imagery. This article reviews the technical evolution from GANs to diffusion models and looks ahead.

CutWire Drift is a beginner-friendly open-source video editor with local AI features including Whisper auto-subtitles, SAM2 background removal, multi-track timeline, keyframe animation, and transitions—free and privacy-preserving.

How to deploy LLMs locally on AMD RX 7800 XT 16GB for trading bots: ROCm ecosystem, 7B-14B model picks (Qwen2.5, Llama 3.1), Ollama/LM Studio setup, and system architecture design.

Tomte is a free local AI framework optimized for Apple Silicon to run Gemma models. Learn about its features, performance advantages, and how it compares to ChatGPT for private, fast local AI deployment.