you’ve probably tried this already but I find /personality to be, quite useful for steering how the model responds, you can also provide custom instructions to the model the same way!
PROMPT ENGINEERING
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Comparing LLM, RAG, AI Agent, and MCP Technologies
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#LLM vs. RAG vs. #AIAgent vs. MCP
by @Python_Dv #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Caveman Claude Offers Solution for Users Hitting Token Limits
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Are you frustrated with Claude usage limits? Blowing through your tokens too fast? 'Caveman Claude' might be for you!
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Using AI Agents to Convert EPUB Files to Text
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The best epub to txt converter I found is just asking your favorite agent to do it. Epubs can be very diverse, the agent just goes in, figures it out, creates the output markdown and ensures it looks good works great.
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Neurosymbolic Tool Use and LLM Mathematical Limitations
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afaik all tool use is neurosymbolic, but not all neurosymbolic involves tool use. that is, all tools i know of leverage symbolic AI/CS techniques, and in this context they do so in conjunction with neural networks. LLMs can’t natively do math reliably
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Claude Code Training: Bridging Installation and Productive Mastery
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The demand for proper Claude Code training is real. We're building similar practical content at Towards AI Academy, the gap between "I installed it" and "I'm actually productive with it" is huge.
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10 prompts that transformed my life with Claude
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After 3 years of using Claude, I can say that it's the technology that has revolutionized my life the most, along with the Internet. Here are 10 prompts that transformed my daily life and can do the same for you: [Bookmark so you don't lose it!]
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Introduction to Claude Agent Skills and Reusable Instructions
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→ Introduction to Agent Skills Crea instrucciones reutilizables que Claude aplica automáticamente cuando las necesita. Una vez lo configuras, trabaja solo. Eso es automatización real. https://
anthropic.skilljar.com/introduction-t
o-agent-skills
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Complete AI Learning Roadmap: Videos, Repos, Books, Papers, Courses
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Stop wasting hours trying to learn AI. 📘📚 I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: lnkd.in/dMqbaZdK 2. LLMs from Scratch: lnkd.in/dYYwEhYy 3. Agentic AI Overview (Stanford): lnkd.in/dArmMt2i 4. Building and Evaluating Agents: lnkd.in/dBWd2W8u 5. Building Effective Agents: lnkd.in/dHfdebqw 6. Building Agents with MCP: lnkd.in/dXuNHrRJ 7. Building an Agent from Scratch: lnkd.in/da3ANw3w 8. Philo Agents: lnkd.in/dq-BfZE5 🗂️ Repos 1. GenAI Agents: lnkd.in/d3UDtwwv 2. Microsoft's AI Agents for Beginners: lnkd.in/dHvTmJnv 3. Prompt Engineering Guide: lnkd.in/gJjGbxQr 4. Hands-On Large Language Models: lnkd.in/dxaVF86w 5. AI Agents for Beginners: lnkd.in/dHvTmJnv 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: lnkd.in/d2dMACMj 8. Hands-On AI Engineering:lnkd.in/dgQtRyk7 9. Awesome Generative AI Guide: lnkd.in/dJ8gxp3a 10. Designing Machine Learning Systems: lnkd.in/dEx8sQJK 11. Machine Learning for Beginners from Microsoft: lnkd.in/dBj3BAEY 12. LLM Course: lnkd.in/diZgGACG 🗺️ Guides 1. Google's Agent Whitepaper: lnkd.in/gFvCfbSN 2. Google's Agent Companion: lnkd.in/gfmCrgAH 3. Building Effective Agents by Anthropic: lnkd.in/gRWKANS4. 4. Claude Code Best Agentic Coding practices: lnkd.in/gs99zyCf 5. OpenAI's Practical Guide to Building Agents: lnkd.in/guRfXsFK 📚Books: 1. Understanding Deep Learning: lnkd.in/dgcB68Qt 2. Building an LLM from Scratch: lnkd.in/g2YGbnWS 3. The LLM Engineering Handbook: lnkd.in/gWUT2EXe 4. AI Agents: The Definitive Guide – Nicole Koenigstein: lnkd.in/dJ9wFNMD 5. Building Applications with AI Agents – Michael Albada: lnkd.in/dSs8srk5 6. AI Agents with MCP – Kyle Stratis: lnkd.in/dR22bEiZ 7. AI Engineering: lnkd.in/gi-mQcXa 📜 Papers 1. ReAct: lnkd.in/gRBH3ZRq 2. Generative Agents: lnkd.in/gsDCUsWm. 3. Toolformer: lnkd.in/gyzrege6 4. Chain-of-Thought Prompting: lnkd.in/gaK5CXzD. 🧑🏫 Courses: 1. HuggingFace's Agent Course: lnkd.in/gmTftTXV 2. MCP with Anthropic: lnkd.in/geffcwdq 3. Building Vector Databases with Pinecone: lnkd.in/gCS4sd7Y 4. Vector Databases from Embeddings to Apps: lnkd.in/gm9HR6_2 5. Agent Memory: lnkd.in/gNFpC542 Repost for your network ♻️
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Kevin Mode cuts Claude’s wordiness by 75%
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Claude burns 75% of its tokens saying things you never asked for. I built a system prompt called "Kevin Mode" that kills all of it. Named after Kevin Malone: "Why waste time say lot word when few word do trick?" Normal Claude: ~180 tokens per task. Kevin Mode: ~45 tokens.