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Context Engineering #aiagents #contextengineering

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Professor Glitch

114,300 subscribers

25,300 Aufrufe • vor 4 Monaten •via TikTok

Wissenschaft & Technologie#aiagents#contextengineering
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Google just released a 1-hour course on “Context Engineering” for AI agents from scratch: • 00:00 - Introduction to “Context Engineering” • 03:02 - Context Engineering vs “prompting” • 16:18 - Build a context brain for your agent • 22:10 - Building agent context (tools, skills) • 29:06 - Agentic memory bank from scratch This 1-hour watch could replace a $500 course on agentic design. Watch it today, then read the full guide on Context Engineering in the article below.
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CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.
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conceptually, a great idea. there's a few bugs in the calculation, but I don't know why other people haven't done this. a turn by turn context awareness enables a context engineering mindset. mastering llms is all about mastering malloc().
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conceptually, a great idea. there's a few bugs in the calculation, but I don't know why other people haven't done this. a turn by turn context awareness enables a context engineering mindset. mastering llms is all about mastering malloc().

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