10 GitHub repos that will level up your AI Agent skills (SAVE THIS)π
1. Hands-On Large Language Models
Complete code notebooks from basics to advanced fine-tuning.
π https://t.co/4P1hpWlRMh
2. AI Agents for Beginners
A free 11-part intro course to build your first agents.
π https://t.co/XaWYfrpeSx
3. GenAI Agents
Tutorials and code for building generative AI agents.
π https://t.co/Oeul8Dkqld
4. Made with ML
Learn to design, build, and deploy real ML apps.
π https://t.co/cnE15Xzjb3
5. Prompt Engineering Guide
Learn to write powerful and effective prompts.
π https://t.co/XO84DESwQV
6. Hands-On AI Engineering
Practical LLM-powered apps and agent examples.
π https://t.co/eyD8Pet1MN
7. Awesome Generative AI Guide
Curated hub for genAI research and tools.
π https://t.co/tMhFCoLvG1
8. Designing Machine Learning Systems
Summaries and resources from the popular ML systems book.
π https://t.co/M0JIVFnF79
9. ML for Beginners (Microsoft)
Free beginner-friendly ML curriculum.
π https://t.co/QLiMYP8cYy
10. LLM Course
Roadmaps and hands-on notebooks to build LLM apps.
π https://t.co/mNeq64HGC3
10 GitHub Repositories you should definitely check as an AI Engineer!
1. Hands on AI Engineering
Curated repository of AI-powered applications and agentic systems showcasing practical use cases of LLMs
π Check this out: https://t.co/pR5riPhGDO
2. Hands on Large Language Models
This repository contains the complete code examples from the book Hands-On Large Language Models.
It includes notebook examples that cover everything from the introduction to language models to fine-tuning them.
π Check this out: https://t.co/TuFg99vK5o
3. AI Agents for Begineers
Beginner friendly course on AI Agents
This Free 11-lesson course will teach you everything you need to get started with building AI agents.
π Check this out: https://t.co/UHk9lCk18P
4. GenAI Agents
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced.
It serves as a comprehensive guide for building intelligent, interactive AI systems.
π Check this out: https://t.co/4c1JL0lZHe
5. Made with ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Check this out: https://t.co/TBcsWr1DOi
6. Learn Harness Engineering
A project-based course on building the environment, state management, verification, and control mechanisms that make AI coding agents work reliably.
π Check this out: https://t.co/MfqVEA9hiB
7. AutoResearch by Andrej Karpathy
Learn how to build autonomous ML experiment loops where AI agents modify training code, run experiments, and iterate on their own.
This 630-line Python script shows you how to set up an agentic research workflow that runs ~100 experiments overnight on a single GPU. Practical implementation of autonomous research systems.
π Check this out: https://t.co/bfdhkX2u17
8. Designing Machine Learning Systems
This repo contains the summaries and resources for Designing Machine Learning Systems book
π Check this out: https://t.co/dBbKls3oOr
9. Awesome LLM Inference
Curated list of LLM/VLM inference papers with codes covering Flash-Attention, Paged-Attention, WINT8/4, Parallelism, and more.
Comprehensive resource for LLM inference optimization techniques including quantization, KV cache management, attention mechanisms, and deployment strategies.
π Check this out: https://t.co/Dtvkw7uwuR
10. LLM Course: The best hands-on course to learn Large Language Models with roadmaps and Colab notebooks!
π Check this out: https://t.co/dNJqw8a7pd
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Find me β @Sumanth_077 for more insights and tutorials on AI Engineering!
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@NClly46435 PENIPUAN ISI VCC
+62 895-6302-12053
gua mau beli vcc dan isinya aku minta 80k doang diisi jadi aku kayak oke aku pay dia sampe akhir bilang gabisa ini harus kaya sampe 400kqn gitu idah aku jabanin malah ditipuhuuu anjjjjiskj woyy gua lapornya gimana
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