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Tencent Technical Engineering
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Tencent Technical Engineering

Official account of Tencent Technology. A platform for publishing and analyzing Tencent's technological innovations and cutting-edge developments.

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Latest from Tencent Technical Engineering

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Tencent Technical Engineering
Tencent Technical Engineering
Aug 14, 2025 · Artificial Intelligence

Why Do Large Language Models Hallucinate? Causes, Risks, and Multi‑Dimensional Solutions

This article systematically examines the root causes of hallucinations in large language models, evaluates their pros and cons, and presents a comprehensive set of optimization techniques—including prompt engineering, RAG, sampling tweaks, supervised fine‑tuning, LoRA, RLHF, chain‑of‑thought reasoning, and agent/workflow designs—to build more reliable and trustworthy AI applications.

AILLMLoRA
0 likes · 29 min read
Why Do Large Language Models Hallucinate? Causes, Risks, and Multi‑Dimensional Solutions
Tencent Technical Engineering
Tencent Technical Engineering
Aug 11, 2025 · Artificial Intelligence

Boost Your Coding with Cursor: Rules, MCPs, and Structured Thinking

After four months of using the AI code assistant Cursor, the author shares a practical methodology that combines clear requirement articulation, pre‑planning, custom rules, and various Model Context Protocol (MCP) tools—such as feedback‑enhanced, sequential‑thinking, and better‑tapd—to streamline development, reduce token waste, and improve collaboration.

AI codingCursorMCP
0 likes · 16 min read
Boost Your Coding with Cursor: Rules, MCPs, and Structured Thinking
Tencent Technical Engineering
Tencent Technical Engineering
Aug 8, 2025 · Artificial Intelligence

Which Open‑Source Deep‑Research Agent Framework Is Best? A Comprehensive Comparison

This article systematically compares major open‑source deep‑research agent frameworks—including DeerFlow, SmolAgents, LangChainAI, SkyworkAI, and Researcher—detailing their architectures, best practices, and commercial alternatives, to help developers and users choose the most suitable tool for automated research workflows.

AI automationDeep ResearchLLM
0 likes · 27 min read
Which Open‑Source Deep‑Research Agent Framework Is Best? A Comprehensive Comparison
Tencent Technical Engineering
Tencent Technical Engineering
Aug 6, 2025 · Fundamentals

Do Programmers Still Need Systematic Book Learning in the AI Era?

The article gathers diverse opinions from eight engineers on whether systematic book study remains essential for programmers in the AI age, arguing that combining foundational reading with AI‑assisted practice builds deeper understanding while pure reliance on AI or rote reading alone falls short.

AILearningSoftware Engineering
0 likes · 5 min read
Do Programmers Still Need Systematic Book Learning in the AI Era?
Tencent Technical Engineering
Tencent Technical Engineering
Aug 4, 2025 · Frontend Development

How to Build an AI-Powered Fragrance Recommendation Mini‑Program with Zero Coding

This article walks through the complete process of creating a WeChat mini‑program that uses large‑language‑model chat to recommend personalized fragrances, covering idea generation, tool selection, prompt design, AI‑assisted debugging, UI/UX refinement, mini‑store integration, and final publishing steps.

AI recommendationE-commerceLow-Code Development
0 likes · 26 min read
How to Build an AI-Powered Fragrance Recommendation Mini‑Program with Zero Coding
Tencent Technical Engineering
Tencent Technical Engineering
Jul 18, 2025 · Artificial Intelligence

From CPUs to GPUs: How Traditional Backend Skills Power Modern AI Infrastructure

This article explores the evolution of AI infrastructure, comparing it with traditional backend systems, and details how hardware shifts to GPU-centric designs, software adaptations like deep learning frameworks, and engineering challenges in model training and inference can be addressed using established backend methodologies.

AI infrastructureGPU computingModel Training
0 likes · 19 min read
From CPUs to GPUs: How Traditional Backend Skills Power Modern AI Infrastructure
Tencent Technical Engineering
Tencent Technical Engineering
Jul 16, 2025 · Artificial Intelligence

Introducing A.S.E: The First Project‑Level AI Code Generation Security Evaluation Framework

The A.S.E (AI Code Generation Security Evaluation) framework provides a comprehensive, project‑level benchmark for assessing the safety, quality, and stability of AI‑generated code across multiple languages and vulnerability types, helping developers and researchers evaluate and improve large language model coding assistants.

AI code generationopen source benchmarksecurity evaluation
0 likes · 7 min read
Introducing A.S.E: The First Project‑Level AI Code Generation Security Evaluation Framework
Tencent Technical Engineering
Tencent Technical Engineering
Jul 14, 2025 · Artificial Intelligence

Demystifying AIGC, Agents, and MCP: Core Concepts and How They Interact

This article provides a concise overview of the latest AI concepts—including AIGC, Retrieval‑Augmented Generation, Function‑Calling models, intelligent agents, and the Model Context Protocol—explaining their principles, differences, and how they can be combined to build more powerful AI applications for developers outside the AI field.

AIGCAgentFunction Calling
0 likes · 15 min read
Demystifying AIGC, Agents, and MCP: Core Concepts and How They Interact
Tencent Technical Engineering
Tencent Technical Engineering
Jul 11, 2025 · Artificial Intelligence

How DeepSeek Achieved 15,800+ Tokens/s: Full‑Stack Inference Optimizations

This article details the Angel‑HCF team's end‑to‑end DeepSeek inference optimizations—including PD separation, multi‑layer MTP, EP and DP parallelism, hardware‑aware kernels, and load‑balancing strategies—that boost throughput to over 15,800 tokens per second while keeping per‑token latency under 50 ms.

AI performanceDeepSeekGPU utilization
0 likes · 13 min read
How DeepSeek Achieved 15,800+ Tokens/s: Full‑Stack Inference Optimizations