cd/entity/Qwen· home entities Qwen
grep -l @qwen /news/*.json | wc -l → 240

Qwen

mentions 240 type Organization page 11/12 feed RSS

// recent coverage 240 mentions

15:30
2026-05-27
dev.to
large-language-models

LLM Prompt Caching: The Complete 2026 Guide

Prompt caching can reduce LLM input costs by 50–90% and improve time-to-first-token by 3–10× without quality loss, according to a 2026 developer guide. The optimization stems directly from Transformer…

01:00
2026-05-27
pytorch.org
artificial-intelligence

Alibaba Cloud Joins the PyTorch Foundation as a Platinum Member

Alibaba Cloud has joined the PyTorch Foundation as a Platinum member, gaining a seat on the foundation's Governing Board and a position on its Technical Advisory Committee. The Chinese cloud computing…

02:18
2026-05-26
uumuse.ai
ai-products

Cited AI Workspace: No More Re-Uploading Files

UUMuse launched a cloud-hosted knowledge base that lets users upload files once and access them across multiple AI models, including GPT, Claude, DeepSeek, and Qwen, without re-uploading. The platform…

16:19
2026-05-25
nolanlawson.com
large-language-models

Using AI to write better code more slowly

Developers are using AI coding tools not to produce low-quality code faster, but to write higher-quality code more slowly by leveraging multiple AI models to find and fix bugs during code review. The …

15:00
2026-05-25
z3ugma.github.io
ai-tools

A Comma and a Question Mark Redux

A developer adapted Rémi Louf's shell-based AI assistant concept to work with the CLI agent Pi and OpenRouter, creating two custom commands that generate shell commands from plain English descriptions…

06:01
2026-05-24
dev.to
artificial-intelligence

AI API Integration Testing Checklist for Multi-Model Apps

This article presents a testing checklist for applications that integrate multiple AI models (such as GPT, Claude, and Gemini) through a single OpenAI-compatible API gateway. It emphasizes verifying c…

00:31
2026-05-24
dev.to
large-language-models

Qwen 3.6 27B and 35B MTP vs Standard on 16GB GPU

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/…

03:39
2026-05-23
dev.to
large-language-models

BeeLlama v0.2.0: 164 tok/s on a 27B model, one RTX 3090

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 …

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