#DSP engineering
72 related articles
·6 min
Anker Soundcore Sleep A20 Sleep Earbuds Drop to Record-Low $99
The Anker Soundcore Sleep A20 sleep earbuds have dropped to $99.99 at Best Buy and Target—a record low, cutting $80 off for nearly half price. Ultra-low-profile in-ear buds designed for sleep, blocking snoring and ambient noise for noise-sensitive sleepers.
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·2 min
Harvard's Open-Source Textbook cs249r: A Complete Guide to Machine Learning Systems Engineering
Harvard's open-source textbook cs249r (Machine Learning Systems) has 25,600+ GitHub stars. It covers ML systems engineering, TinyML, and MLOps — free for everyone.
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·7 min
AI Agent Practical Guide: From Content Generation to Enterprise Applications
A deep dive into AI Agent's two core directions: 2C content generation (text/images/video) and 2B enterprise applications (RAG/AutoGen/LLM integration). With real startup cases and practical methods.
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·7 min
Getting Started with LangGraph Multi-Agent Development: Architecture Analysis and Three Practical Case Studies
Learn LangGraph multi-agent development covering Supervisor and Collaboration architectures, with three hands-on projects: code assistant, prompt assistant, and WebRTC digital human.
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·3 min
Behind SpaceX's Acquisition of Cursor: The Systemic Oxygen Deprivation of China's Deep Tech
SpaceX acquires Cursor for $60B in all-stock deal, buying the AI-era developer gateway. A deep analysis of the U.S.-China deep tech ecosystem gap and China's path to building its own flywheel.
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·3 min
GLM-5.2 Deep Dive: Million-Token Context, MIT Open Source & Full-Stack Domestic Chip Training
Deep dive into Zhipu's GLM-5.2: truly usable 1M-token context, MIT open-source strategy, full-stack Huawei Ascend training, and how it compares to Claude Opus. Includes benchmarks, use cases & pricing.
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·3 min
The Positive-Sum Game of Enterprise AI: How to Make AI Create Value for Everyone
Enterprise AI shouldn't be a zero-sum game. Learn how a positive-sum approach creates shared value for businesses, employees, and customers alike.
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·3 min
Zed Editor Hands-On: 6x Faster Startup — A Lightweight Alternative for AI Coding on Older Hardware
Real-world comparison of Zed vs Cursor: startup speed, memory usage, and AI coding experience. Built in Rust, Zed launches in 3 seconds with minimal RAM usage — ideal for developers with limited hardware.
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·3 min
Huawei HDC Deep Dive: Pangu 2.0 Goes Open Source and HarmonyOS 7 Agents Reshape the Mobile AI Ecosystem
Huawei HDC unveils Pangu 2.0 full open source and HarmonyOS 7 system-level Agent capabilities. Deep analysis of sparse architecture efficiency, on-device 30B models, and the Agent gateway battle.
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·4 min
The 8 Core Modules of Prompt Engineering: A Complete Guide from Fundamentals to Advanced Techniques
A systematic breakdown of the 8 core modules of prompt engineering, covering fundamentals, CoT, Few-shot, prompt security, and real-world AI applications.
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Deep Dives·3 min
Deep Dive into Hermes Agent Self-Evolution: The GIPA Algorithm and Engineering Practice
Deep analysis of NousResearch's Hermes Agent Self Evolution project: GIPA genetic Pareto prompt evolution algorithm, six-step optimization loop, and five guardrail mechanisms for real-world Agent self-evolution.
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Tutorials·2 min
DeepSeek V3 + bolt.html: A Practical Guide to Generating Beautiful Web Pages with Zero Code
Learn how DeepSeek V3-0324 and open-source tool bolt.html combine to generate beautiful HTML pages with zero code using prompt engineering techniques.
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Research·2 min
Optimize Anything: One API to Unify Optimization of Code, Prompts, and Agent Architectures
UC Berkeley and Stanford propose Optimize Anything, a universal text optimization framework that unifies optimization of CUDA kernels, agent architectures, and prompts through one declarative API.
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Deep Dives·3 min
Hermes Self-Evolution Framework: An Open-Source Solution for Automated AI Agent Prompt Optimization
Deep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
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Deep Dives·2 min
Agents Need Control Flow, Not More Prompts
Why do longer Prompts make AI Agents less stable? This article explains the control flow first architecture, replacing natural language control flow with code orchestration to boost multi-step reliability from 40% to over 90%.
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Expert Opinions·2 min
The Indie Developer's Marketing Dilemma: A Great Product Means Nothing If No One Knows About It
The biggest challenge for indie developers isn't technology — it's marketing. A deep dive into the real struggles OPC entrepreneurs face with traffic, messaging, time allocation, and the mental toll.
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Tutorials·2 min
LangChain Conversational Memory in Practice: Principles and Latest Implementation of Four Memory Types
Deep dive into four conversational memory types in LangChain 0.3: Buffer, Window, Summary, and Summary Buffer. Covers RunnableWithMessageHistory implementation with selection guidelines.
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Expert Opinions·2 min
A Critical Look at AI Coding: Copilot Is Not a Developer's Replacement
An in-depth look at how to properly use AI coding tools like GitHub Copilot, exploring hybrid development, prompt evolution, and the risk of eroding developer learning abilities.
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Tutorials·2 min
5 Fatal AI Agent Failure Modes: A Practical Guide to Safe Architecture Design
Deep dive into 5 fatal AI Agent failure modes: infinite loops, tool hallucination, context explosion, error cascades, and permission escalation — with practical safety architecture solutions.
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Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
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