#KV Cache optimization

377 related articles

Jul 28, 2026·4 min

GPT-5.6 Value Maxing Practical Guide: From Token Stacking to Output Optimization Methodology

Deep dive into OpenAI GPT-5.6 Value Maxing strategies covering Sol/Terra/Luna model selection, KV cache optimization, Prompt compression, and programmatic tool calling to help developers achieve more output with fewer Tokens.

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

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

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 27, 2026·4 min

Choosing the Wrong Agent Ruins Everything: Why the Same Model Can Perform Like Two Completely Different AIs

The same LLM API performs drastically differently under different Agent frameworks. Through a real database crash case, this article analyzes why choosing the right Agent matters more than switching models.

Jul 27, 2026·2 min

DeepSeek V4 Official Release Imminent: What 1.6 Trillion Parameters Really Means

DeepSeek V4 official release is imminent. V4 Pro features 1.6 trillion parameters with million-character context. Explore the D-SPARK acceleration framework, dynamic pricing, and V4's leap to production-grade AI.

Jul 27, 2026·4 min

The Dao of DeepSeek: Liang Wenfeng on Vision, Restraint, and the Philosophy of Open Source

Analysis of DeepSeek founder Liang Wenfeng's rare investor dialogue, exploring the company's vision-driven culture, strategic restraint toward AGI, and open-source philosophy in the US-China AI race.

Jul 27, 2026·3 min

Deep Dive into the Kimi-K3 Technical Report: Architecture, Long Context, and Reasoning Capabilities

Deep analysis of Moonshot AI's Kimi-K3 technical report covering long context processing, MoE architecture, reasoning capabilities, and China's position in the global AI competition.

Jul 27, 2026·3 min

Deep Dive into the Kimi-K3 Technical Report: A Comprehensive Analysis of Architecture, Long-Context Processing, and Reasoning Capabilities

Deep dive into Moonshot AI's Kimi-K3 technical report, analyzing its long-context processing, MoE architecture, reasoning improvements, and its position in global AI competition.

Jul 27, 2026·2 min

Google Flash and Flash-Lite Models Upgraded and Live: A New Lightweight, High-Efficiency AI Option

Google rolls out upgraded 3.6 Flash and 3.5 Flash-Lite models. Learn about the Flash series' positioning, upgrade highlights, and value for developers.

Jul 27, 2026·2 min

Kimi-K3 Lands on HuggingFace: A Full Breakdown of Moonshot AI's Open-Source Strategy

Moonshot AI's Kimi-K3 model is set to launch on HuggingFace. A deep dive into its architecture, licensing, community reactions, and strategic implications for the global open-source AI landscape.

Jul 27, 2026·3 min

Opus 5 Hands-On: Powerful but Slow — Inference Speed Becomes the New AI Battleground

An AI practitioner tests Opus 5: powerful capabilities but painfully slow inference. Deep analysis of how LLM competition is shifting from intelligence to inference speed.

Jul 27, 2026·4 min

Gemini 3.5 Pro Hands-On: No More Lazy Code Generation, Complete Projects in a Single Output

A Reddit user tested Gemini 3.5 Pro in Arena and found it generates 20+ files with hundreds of lines of code per file in a single pass, with no lazy shortcuts or placeholders.

Jul 27, 2026·3 min

Kimi K3 Local Deployment Guide: Storage Requirements for q4 and q8 Quantization Explained

Detailed analysis of Kimi K3 quantization deployment options, comparing q4 vs q8 storage requirements, precision trade-offs, and hardware configurations for local self-hosting.

Jul 26, 2026·3 min

DeepSeek-OCR Deployment and Fine-Tuning: A Complete Hands-On Guide

Master the full DeepSeek-OCR deployment and fine-tuning workflow: vLLM inference deployment, efficient Unsloth fine-tuning, dataset preprocessing, LoRA training, validation, and RAG vector database integration.

Jul 25, 2026·3 min

D-Flash: The Secret Behind 3.5x LLM Inference Speedup with Diffusion Drafting

D-Flash uses fast diffusion parallel drafting and target feature KV injection to solve the autoregressive Drafter latency bottleneck in speculative decoding. 16 tokens in just 6ms, up to 3.5x speedup on HumanEval, surpassing EAGLE3 and MTP.

Jul 25, 2026·2 min

D-Flash: How Diffusion Drafting Delivers 3.5x Faster LLM Inference

D-Flash solves the autoregressive drafter latency bottleneck in speculative decoding via fast diffusion parallel drafting and target feature KV injection. 16 tokens in just 6ms, up to 3.5x speedup on HumanEval, beating EAGLE3 and MTP.

Jul 25, 2026·3 min

DeepSeek Open-Sources DeepSpec: A Full-Stack Speculative Decoding Library with 60–85% Inference Speedup

DeepSeek open-sources DeepSpec, a full-stack speculative decoding library delivering 60–85% inference speedup and up to 661% throughput gains in production. MIT license, 9 checkpoints, 9 benchmarks.

Jul 25, 2026·5 min

Why Are China's Open-Source AI Models Getting Stronger? A Deep Dive Into Three Comeback Strategies

Facing US chip bans and closed-source monopoly, how do China's open-source AI models keep fighting back? A deep dive into three core paths: open-source pricing games, optical interconnect positioning, and on-device scenarios.