Omar fuzzer @OFuzzer
Maestro en sistemas computacionales, programador por pasión. Android Developer, DevOps, Artificial Intelligence y lo que se de. #CDMX Joined October 2017-
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Omar fuzzer retweeted
this repo has 20K+ lines of system prompts powering top agents like Cursor, Manus, Devin, Windsurf and so much more. it practically doesn’t make any sense to write your system prompts from scratch anymore.
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Omar fuzzer retweeted
AI/ML Engineer Roadmap (30 Days) 🔥🔥 Fundamentals -> Maths & Stats -> Programming -> Data Processing -> Machine Learning -> Deep Learning -> Specialized in NLP & CV -> Advanced ML -> MLOps -> Advanced ML with ML System Design & Architecture Pattern I know it's hard to cover…
Omar fuzzer retweeted
Ollama is a powerful open source tool that lets you run LLMs right in your local environment. Local LLMs give you more control, privacy, and customization options than those run in the cloud. This course teaches you how Ollama works by building three projects.…
Omar fuzzer retweeted
This list changes every week! 🤯 Here are the new best models based on use case Everyday → GPT-4o, GPT-5 Chat Coding → Sonnet 4, Opus 4.1 Budget coding → Qwen Coder Video → Seedance Pro, Veo-3 Images → SeaDream, Nano-Banana OCR/simple → Gemini Flash Reports → Gemini…
Omar fuzzer retweeted
After 3-4 hours of experimenting I can say that the datasets for Tiny Language Model stage 1 are available: huggingface.co/collections/Sh… Synthetic Datasets for the win !
Omar fuzzer retweeted
This guy literally shows how to go from zero to AI engineer for free
Omar fuzzer retweeted
🔥Best LLM Course (with 58.8k stars) to learn everything from building your first language model to deploying production-ready AI applications Link in comment Perfect roadmap whether you're a beginner or looking to master advanced LLM techniques
Omar fuzzer retweeted
Defeating non-determinism in LLM Inference! Essential read for AI engineers and researchers:
Omar fuzzer retweeted
real-time cloning of any voice from a few seconds of audio
Omar fuzzer retweeted
The power of MCP explained in one picture! Without MCP: - Every LLM app wrote its own tool integration - M apps & N tools = M×N integrations With MCP: - Create an MCP server for your tool and plug it into an LLM app - You go from M×N integrations to M+N integrations
Omar fuzzer retweeted
Agentic AI Roadmap 2025
Omar fuzzer retweeted
Injecting Android Context in Compose Multiplatform with Koin. By Domen Lanišnik #AndroidDev proandroiddev.com/injecting-andr…
Omar fuzzer retweeted
𝗔𝗜 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗠𝗲𝗺𝗼𝗿𝘆 is the most important piece of 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, this is how we define it 👇 In general, the memory for an agent is something that we provide via context in the prompt passed to LLM that helps the agent to better plan and…
Omar fuzzer retweeted
Common Machine Learning Algorithms
Omar fuzzer retweeted
Omar fuzzer retweeted
Hugging Face 🤗 cooked again. They just dropped a new free course with certification on fine-tuning: > instruction tuning > RL and preference alignment > evaluation > creating synthetic data By the end of 2025 you have learned these essential skills from the best.
Omar fuzzer retweeted
This comprehensive guide will teach you everything you need to know about LLM Agents - from basic concepts to building your own agent. It covers agent frameworks, memory modules, planning systems, multi-agent interactions, real-world examples like BabyAGI, and includes practical…
Omar fuzzer retweeted
Which chunking technique should you use for your RAG system? Here's a quick cheat sheet of 8 popular chunking strategies: Read the full deep-dive into each with code examples and decision frameworks: weaviate.io/blog/chunking-…
Omar fuzzer retweeted
20 AI AGENT CONCEPTS
Omar fuzzer retweeted
graph-based RAG system for smarter document retrieval
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