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The Data Backbone of LLM Systems
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Mastering Advanced Development with Large Language Models
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Spec-Driven Development Is the Future of Software Engineering
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A vibe coding learning design to enhance EFL students' talking to, through, and about AI
arxiv.org·23h
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Prompt Engineering is Dead, Long Live Prompt Engineering
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Strands Agents and the Model-Driven Approach
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How to Analyze and Optimize Your LLMs in 3 Steps
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How To Build an LLM-Powered Application Using Prompt Engineering?
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Speculative cascades — A hybrid approach for smarter, faster LLM inference
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🎯Generative Design
When it comes to AI, bigger isn’t always better
infoworld.com·18h
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AI Assistance for Software Teams: The State of Play • Birgitta Böckeler • GOTO 2024
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Beyond the Hype: Essential Skills and Strategies for Aspiring Machine Learning Engineers
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🎯Generative Design
Building multi-agent tools for engineering
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The productivity paradox of AI coding assistants
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Building an AI Agent using RavenDB
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K2-Think: A Parameter-Efficient Reasoning System
arxiviq.substack.com·11h·
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Crafting a Solid First Prompt
jxsh.io·2d
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Start Learning AI — Our New YouTube Channel is Live
blog.bytebytego.com·12h
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Why the best LLMs are not enough for the AI SOC
intezer.com·12h
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