#parallel drafting
40 related articles
·3 min
DFlash 2: How Parallel Draft Decoding Accelerates Large Model Inference
Deep dive into DFlash 2's parallel draft decoding technology, explaining how its Keep Drafting Parallel mechanism breaks autoregressive bottlenecks for lossless LLM inference acceleration.
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·5 min
Codex from Beginner to Expert: A Complete Guide to the All-Purpose AI Agent
Complete guide to OpenAI Codex covering its four versions, projects vs conversations, permission modes, skills and plugins, and practical office tips to master this all-purpose AI agent.
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·3 min
Who Will Thrive in the AI Age? Core Competencies and Survival Strategies
Explore who will truly thrive in the AI age. From the shift of executor to orchestrator, irreplaceable human values, and compound effects of AI skills—analyzing future core competencies and growth strategies.
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·4 min
Heretic Uncensoring Technology Explained: Practical Applications on Jamba2 and Qwen3.5 Open-Source Models
Deep dive into Heretic uncensoring technology applied to Jamba2-Mini, Qwen3.5-9B, and 27B open-source models, exploring how refusal rates dropped from 97% to 4% and the safety debates involved.
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·3 min
OpenWorker: A Free, Open-Source Local AI Agent That Keeps Your Data at Home
OpenWorker is a free, open-source desktop AI agent that runs locally, supports bring-your-own-model, and keeps your data private. Learn about its design philosophy and key differentiators.
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·3 min
AI Research Automation: More Like Data Cleaning Than Inventing the Transformer
AI research automation will look more like data cleaning than inventing the Transformer. Explore how automating 60%-80% of repetitive research work reshapes the AI research paradigm.
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·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.
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·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.
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·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.
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·3 min
How China's Open-Source LLMs Are Closing In on America's Closed-Source Giants
Kimi, Alibaba Qwen, and DeepSeek leverage MoE architecture, home-field data advantages, and the open-source flywheel to close in on OpenAI and Anthropic at ultra-low cost. A deep dive into China's open-source LLM catch-up.
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·3 min
Dify 1.8 Complete Beginner's Guide: Build 20+ AI Apps Fast
A complete Dify 1.8 guide covering 3 deployment methods (Docker/cloud/source), MySQL integration, 5 app types (Chatbot/Agent/Workflow), model selection, and publishing strategies.
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·7 min
OpenAI Loses Over $100 Billion a Year: How the AI Cost Paradox Is Devouring Tech Giants
Leaked financials show OpenAI's -122% operating margin — losing money on every sale. MIT research reveals 95% of enterprise AI investments yield zero returns. A deep dive into the AI cost paradox.
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·4 min
DSpark Open Source: DeepSeek's Inference Acceleration Tech That Doubles LLM Speed
DeepSeek and Peking University open-source DSpark, an inference acceleration technology using semi-autoregressive architecture and dynamic scheduling to boost LLM speed by 50%+ and double GPU concurrency without quality loss.
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·2 min
Flowith AI Canvas + Codex: Zero-Barrier One-Click AI Short Drama Production Pipeline
Flowith AI canvas + Codex automates AI short drama production end-to-end — from script and characters to scenes. Asset library solves consistency; point-and-edit enables precision control.
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·2 min
Impri: A Structural Human Approval Gateway for AI Agents
A deep dive into Impri — a structural human approval gateway for LangChain/LangGraph agents, exploring why prompt-level constraints fail and how code-layer gates enable reliable human-in-the-loop AI.
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·3 min
DeepSeek Open-Sources DSpark: 50%–400% LLM Inference Speedup Without Retraining
DeepSeek open-sources DSpark, delivering 50%–400% LLM inference speedup with no retraining or quantization, via semi-autoregressive drafting and confidence-scheduled verification.
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·3 min
AI Large Language Models Explained: Principles, Strengths, Weaknesses, and a Testing Guide
A complete beginner's guide to AI large language models: principles, the Transformer architecture, strengths, weaknesses, and practical tips for testers.
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·4 min
No-Code Guide to Claude Code: Building Your Personal AI Automation OS
No coding needed: master Claude Code workflows with folder structure, sub-agents, third-party connectors, and scheduled routines to build your own AI automation OS.
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·4 min
Two Paths to Better AI Reasoning: Test-Time Scaling and Formal Verification
This article synthesizes two MSR India Summit talks, exploring two key paths to better AI reasoning: test-time scaling with variable granularity search, and a formal verification framework for trustworthy agent execution.
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·2 min
The AI Startup Boom: The Era of One-Person Companies Has Arrived
AI tools are lowering startup barriers, making one-person companies a real possibility. Explore how AI reshapes entrepreneurship, compresses costs, and what challenges remain.
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