The article summarizes tests of Multi-Token Prediction (MTP) on Qwen 3.6 27B and 35B models using a 16GB RTX 4080 GPU. For the 27B model, MTP at a draft depth of 2 provided a 67% speed increase (75 t/…
The article describes the creation of The Polyglot Protocol, an open-source framework designed to address common failure modes in AI coding agents, such as ignoring repository conventions, inventing A…
Based on the article, the author tested four Chinese AI APIs—DeepSeek, Qwen, Kimi, and GLM—to determine which offers the best value for money. DeepSeek V4 Flash is highlighted as the top choice for En…
The article argues that the current AI revolution mirrors the Renaissance by democratizing creativity and cognition, but it faces a critical bottleneck: an exponential demand for computational power t…
BeeLlama v0.2.0 demonstrates that speculative decoding can achieve a 4.4x to 4.93x throughput multiplier on a single RTX 3090, running 27B and 31B parameter models at 37-36 tokens per second baseline …
The article covers two main topics: NVIDIA's upcoming RTX 5090 cooling solutions, with AORUS claiming a maximum GPU temperature of 77°C under load, and the release of BeeLlama v0.2.0, which achieves s…
This article provides a step-by-step guide for developers to set up a private, offline AI coding assistant on a standard laptop (8GB or 16GB RAM) without a dedicated GPU. The setup uses Visual Studio …
Many teams mistakenly build complex "AI agents" for tasks like lead processing when a simpler, more reliable rules engine would suffice. It recommends using AI only for extracting messy input data (e.…
DeepSeek TUI, a terminal user interface for DeepSeek's models, has gained nearly 33,000 GitHub stars in two weeks. The tool can run against other providers including local models via Ollama or oMLX, a…
At Google I/O 2026, the company announced that its open-source Android app, AI Edge Gallery, now supports agent functionality and MCP (Model Context Protocol) connections, allowing large language mode…
The Gemma 4 26B model was the first local AI to achieve a perfect score on the HumanEval benchmark, including solving the notoriously difficult problem 145. This problem requires sorting integers by t…
This week's top GPU news highlights three key developments: the release of Fournex, an open-source tool that analyzes Nsight Compute data to identify and suggest fixes for PyTorch/CUDA bottlenecks; a …
A checklist the author uses when testing a new OpenAI-compatible LLM gateway, which helps catch integration failures before moving real workloads. For Chinese models like Qwen, DeepSeek, GLM, and Kimi…
The ExecuTorch MLX delegate now enables GPU-accelerated inference for PyTorch models on Apple Silicon Macs through Apple's MLX framework. The new backend achieves 3-6x higher throughput on generative …
Small language models with 1-9 billion parameters now handle 60-80% of enterprise AI workloads more efficiently than frontier models, according to a 2026 analysis of enterprise AI infrastructure. Thes…
Malte Buettner benchmarked bounding box accuracy for Document AI models using pages from the FlashAttention-3 paper, testing Qwen, Kimi, and Mistral via OpenRouter. The evaluation scored models on cov…
The article describes the author's successful setup for running local AI models on an M4 Mac with 24GB of memory, specifically highlighting Qwen 3.5-9B (Q4 quantized) as the best performing model at ~…
A merged Qwen multimodal chat template has been released, combining fixes from allanchan339 and froggeric to address multiple issues with Qwen model chat formatting. The template adds support for a de…
Researchers analyzing weight files from over a dozen open-weight language models — spanning labs including Qwen, DeepSeek, Google, and OpenAI, from 0.6 billion to 1.4 trillion parameters — found that …
This article presents benchmark results comparing the performance of a Qwen3.6 model running in standard mode versus with Multi-Token Prediction (MTP) enabled. The MTP configuration with a draft of 3 …