sunnysideup_ @apocamiaw
welcome to my x side Joined April 2020-
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lemme fla u 2 d moon, my eyes hv alwys followed u to d room..
gong nya: I don't know where I've been. And if you say so. I'll bend over backwards for love...
Stanford just leaked this free class that explains how Claude and ChatGPT work from the inside Most people waste 90% of their potential Stanford teaches it to you in 1 hour and 50 minutes Bookmark this so you don't miss it.
STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI. I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses. VIDEOS: 1. LLM Introduction — youtube.com/watch?v=zjkBMF… 2. LLMs from Scratch — youtube.com/watch?v=9vM4p9… 3. Agentic AI Overview (Stanford) — youtube.com/watch?v=kJLiOG… 4. Building & Evaluating Agents — youtube.com/watch?v=d5EltX… 5. Building Effective Agents — youtube.com/watch?v=D7_ipD… 6. Building Agents with MCP — youtube.com/watch?v=kQmXtr… 7. Building an Agent from Scratch — youtube.com/watch?v=xzXdLR… 8. Philo Agents — youtube.com/playlist?list=… GITHUB REPOS: 1. GenAI Agents — github.com/nirdiamant/Gen… 2. Microsoft AI Agents for Beginners — github.com/microsoft/ai-a… 3. Prompt Engineering Guide — github.com/dair-ai/Prompt… 4. Hands-On Large Language Models — github.com/HandsOnLLM/Han… 5. GenAI Agents — github.com/NirDiamant/Gen… 6. Made with ML — github.com/GokuMohandas/M… 7. Hands-On AI Engineering — github.com/Sumanth077/Han… 8. Awesome Generative AI Guide — github.com/aishwaryanr/aw… 9. Designing Machine Learning Systems — github.com/chiphuyen/dmls… 10. Machine Learning for Beginners — github.com/microsoft/ML-F… 11. LLM Course — github.com/mlabonne/llm-c… GUIDES: 1. Google's Agent Whitepaper — kaggle.com/whitepaper-age… 2. Google's Agent Companion — kaggle.com/whitepaper-age… 3. Building Effective Agents by Anthropic — anthropic.com/engineering/bu… 4. Claude Code Agentic Coding Practices — code.claude.com/docs/en/best-p… 5. OpenAI's Practical Guide to Building Agents — cdn.openai.com/business-guide… BOOKS: 1. Understanding Deep Learning — udlbook.github.io/udlbook/ 2. Building an LLM from Scratch — manning.com/books/build-a-… 3. The LLM Engineering Handbook — oreilly.com/library/view/l… 4. AI Agents: The Definitive Guide — oreilly.com/library/view/a… 5. Building Applications with AI Agents — oreilly.com/library/view/b… 6. AI Agents with MCP — oreilly.com/library/view/a… 7. AI Engineering — oreilly.com/library/view/a… RESEARCH PAPERS: 1. ReAct — arxiv.org/abs/2210.03629 2. Generative Agents — arxiv.org/abs/2304.03442 3. Toolformer — proceedings.neurips.cc/paper_files/pa… 4. Chain-of-Thought Prompting — arxiv.org/pdf/2201.11903 COURSES: 1. Hugging Face Agent Course — huggingface.co/learn/agents-c… 2. MCP with Anthropic — deeplearning.ai/courses/mcp-bu… 3. Building Vector Databases with Pinecone — deeplearning.ai/courses/buildi… 4. Vector Databases: Embeddings to Apps — deeplearning.ai/courses/vector… 5. Agent Memory — deeplearning.ai/courses/llms-a… No endless searching. No information overload. Just resources you can actually use. 🔖 Your future AI skill set will come from consistent building, experimenting, and learning. Repost so someone else can find this roadmap, and pls consider following @amisha_explains for more content around AI, Beauty, and businesses.
kopinya keteken no sug, trus dengan inisiatif penuh aku tambah good day sachet >> biar ada manis nya :) now I hate it
maybe we got married one day, but who knows?
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