11238 related articles

A developer built a pure C99 inference engine that runs the 1.56TB Kimi K3 model on 8GB RAM using MoE sparsity and NVMe on-demand loading—no GPU, 176KB binary.

Cursor Team and Enterprise users discover a flat $0.25/million token surcharge inflates budget model costs by 10x. Analysis of the hidden markup, its impact, and user strategies.

An open-source blood glucose prediction model using BERT-style Transformer architecture with only 17M parameters, running on mobile devices with DILATE and Pinball loss for 2-hour glucose forecasting.

A systematic evaluation of 13 LLMs, 4 agent frameworks, and 5 programming languages reveals the real differences in AI coding capabilities and optimal model-framework pairing strategies.

ClipStudios.AI aggregates 15+ AI video models including Kling, Veo, and Runway under one credit-based subscription with C2PA provenance signing and GDPR-compliant EU infrastructure. Plans from €20/mo.

In-depth review of Poolside's Laguna S 2.1 open-source coding model: MoE architecture, RL training, DGX Spark local deployment, and real-world agentic coding tests with 8B active parameters.

Poolside releases Laguna S 2.1, an open-source agentic coding model: 118B total params with only 8B active, scoring 40.4% on DeepSWE — ~4.5x DeepSeek V4 Pro Max. Supports 1M-token context, deployable on a single workstation.

Deep dive into LangChain v1.3: compare LangChain, LangGraph, and DeepAgent paradigms, explore RAG pipelines, multi-agent systems, and local LLM deployment for enterprise AI apps.
transcribe.cpp: A Unified Speech Recog…
transcribe.cpp is an open-source ggml-based speech recognition engine supporting 16+ model families in a single C++ codebase — lightweight, cross-platform, and quantization-ready for local STT.

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.

Step-by-step guide to wrapping DeepSeek-R1 with an Ollama Modelfile — set temperature, system prompts, and run fully offline for privacy and flexibility.

Google's Gemma 4 E2B for TPU runs offline on Pixel 10's Tensor G5 chip, enabling local AI chat, image recognition, and audio transcription. We break down the features and real-world test results.
GitHub Daily · July 18: 3D Reconstruct…
July 18 GitHub Daily: 3D reconstruction foundation model lingbot-map tops the charts, with AI engineering tooling, CLI Agents, and the MCP ecosystem exploding across the board.

Meta Muse Spark 1.1 deep dive: native multimodal architecture, platform tools, social data retrieval, e-commerce vision — Meta's first closed-source API model benchmarks against Anthropic Sonnet.

A complete guide to LangChain 1.3: LLM invocation, Agent tool calling, Harness architecture, LangGraph, RAG, and DeepAgent — build a clear, modern Agent development knowledge base.
AI Can Write Ruby But Can't Navigate C…
A benchmark covering 5 major AI models and 13 real Ruby codebases reveals: AI excels at generating code but struggles to navigate existing codebases. A deep dive into findings, Ruby metaprogramming challenges, and practical implications for developers.

Hands-on test of Ornith 1.0 9B open model on a 16GB M4 Mac mini. A tower defense game task reveals the precision limits of small-parameter models vs 35B.

An ML engineer trained SmoLLM, a 109M-parameter LLaMA-style model from scratch for under $50. Full breakdown of architecture, training pitfalls, instruction tuning, and real-world performance.

A 15-year-old trained Tiny-MoE, a 200M-parameter MoE language model from scratch using free Kaggle GPUs, featuring MLA attention, RoPE+YaRN, and native PyTorch.
Meta Muse Spark 1.1 Released: A Deep D…
Meta officially releases Muse Spark 1.1, the first model in the Spark series to offer an API, with a focus on strengthening agentic tool calling and computer use capabilities.