The Generative AI ecosystem is evolving into a full tech stack — powering autonomous AI agents.
From infrastructure and LLMs to RAG pipelines, agent behaviors and orchestration layers, this framework shows the 6 layers driving next-gen AI systems. Credit: @goyalshalini #AI
@ingliguori
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Generative AI Tech Stack Framework for Autonomous Agents
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15 Key Architectural Characteristics for Designing Robust AI Agents
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Just shared this brilliant mind map on the 15 key architectural characteristics of AI agents — absolutely packed with insights! Modularity, evolvability, context awareness, security compliance… everything you need to design robust agents. Huge thanks to @Python_Dv for creating
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17 Prompt Engineering Techniques to Maximize ChatGPT Results
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Prompt engineering is now a critical skill for getting the best results from ChatGPT.
These 17 techniques — roles, context, structure, scenarios, frameworks and more — can transform the quality of outputs. Credit: @ginacostag_ #AI #ChatGPT #PromptEngineering #Productivity -
AI Governance Essential: EU AI Act Risk Categorization for Rights Protection
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AI governance is not optional, it's essential. The EU Artificial Intelligence Act categorizes AI risk to protect rights and safety. Discover more with @ingliguori
. #AIAct #Governance #ModelOps #AIethics -
AI Tools Guide: Choosing the Right LLM for Every Task
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Cheat sheet: ChatGPT = create/build (writing, coding, workflows)
Grok = live trends + punchy takes
Gemini = Google Workspace-native collaboration
Claude = deep reading + long-doc reasoning
Perplexity = research w/ citations Right tool for the right job.
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AI Agents: From Reasoning to Action with Tools and Memory
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AI Agent = AI that reasons + plans + uses tools + acts to hit a goal.
Loop: goal → sense → plan → tool use → act → eval → memory → improve. Core parts: system prompt, tools/APIs, short- & long-term memory, adaptive traits. Shift: chatbots give answers; agents deliver -
10 AI Methods to Accelerate Your Learning Process
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10 ways to learn faster with AI: 1. Explain like I’m 5 2. Examples/analogies 3. Motivation boosts 4. Role-play 5. Study plan 6. Quizzes 7. Mind maps 8. Expert roundtables 9. Mnemonics 10. Improve your draft Learning loop = understand → practice → test → refine.
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Agentic AI: Core Stack for Planning, Memory, Tools, Collaboration
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Agentic AI = AI that plans + uses tools + remembers + collaborates + executes. This cheat sheet nails the core stack: Planning | Memory | Tool use | Multi-agent collab | Execution frameworks like LangChain, CrewAI, AutoGen. Agents are how GenAI turns into
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25 Killer AI Tools Across the Technology Stack
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25 killer AI tools across the stack Bots: ChatGPT, Claude, Bard/Gemini, Bing AI Video: Runway, HeyGen, Veed, Pictory Images: Midjourney, DALL-E 3, Leonardo, Firefly Slides: Tome, http://
Slides.ai, Decktopus, http://
Beautiful.ai Productivity: Taskade, -
AI Tools Reach Massive Scale: ChatGPT Leads with 4.7B Monthly Visits
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AI tool usage at scale is here. ChatGPT: 4.7B monthly visits (Jan 2025)
Canva: 887M
Google Translate: 595M
DeepSeek: 268M (massive surge) http://
Character.AI: 226M
Perplexity: 133M
Gemini: 118M
Claude: 105M AI isn’t a trend anymore — it’s infrastructure. What’s your #1