Omar Fawzy @TechOmarF
عاشق الذكاء الاصطناعي 💡 | مبتكر تقني 🚀 | عدّاء 🏃 Cairo Joined March 2023-
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While learning various algorithms, the visualization plays a significant role in grasping the concepts easily. The algorithm-visualizer.org is an excellent resource with amazing collections of algorithms.
Apple just dropped FastVLM & MobileCLIP2 on Hugging Face 85x faster, 3.4x smaller AI for real-time image/video applications on your device! Live video captions in browser, no cloud needed 🤯
This comprehensive guide explains how Large Language Models work from scratch - assuming you only know how to add and multiply numbers. It covers everything from simple neural networks to the full Transformer architecture, stripping away all the jargon and representing…
Andrej is right about GPT-5 Pro. openAI pro models have always been on another level, and people don't talk about them because many haven't tried them the only downside is the $ 200/m price. and at the same time, $200 is so cheap for how valuable it is
The most important AI paper of 2025 might have just dropped. NVIDIA lays out a framework for Small Language Model agents that could outcompete LLMs. Here’s the full breakdown (and why it matters):
Just discovered an incredible open-source collection of hands-on Generative AI experiments! Over 100+ practical Jupyter notebooks covering everything from LLM basics to advanced AI agents, RAG systems, and real-world applications like chat with PDFs, GitHub readme generators,…
Google Collab notebook to generate embeddings using Google's new EmbeddingGemma. Link in comment.
Free course to learn full stack perspective on building ML-powered products. Covering everything from neural networks and PyTorch to deployment, monitoring, data management, and ML team management across 18 detailed videos. Link in comments 😎👇
Huge AI news Apple and Oxford just made AI 6.5x better at problem solving. A new framework boosts AI agent success from 14% to 91% by teaching them to ask the most informative questions. Using an Expected Information Gain (EIG) loop, agents hypothesize solutions, score…
Huge AI news Apple and Oxford just made AI 6.5x better at problem solving. A new framework boosts AI agent success from 14% to 91% by teaching them to ask the most informative questions. Using an Expected Information Gain (EIG) loop, agents hypothesize solutions, score… https://t.co/jkyMkXW9a7
If you’re still learning AI from YouTube clips, you’re already behind. HuggingFace just dropped 9 expert-level courses for free and they’re the exact roadmap to master LLMs and agents before everyone else:
FREE Natural Language Processing Course from Stanford. Link in comment. > 63 lectures covering everything from word representations and sentiment analysis to transformers, BERT, and neural information retrieval. > Perfect for mastering modern NLP techniques and building robust…
Our honest analysis of MIT Nanda's State of AI in Business report Read with your eyes open, and you'll see much more beyond that flashy 95% figure of organizations getting zero return from AI investments ⬇️ Find a full breakdown on YouTube: youtube.com/watch?v=WBPkkj…
This is the best Linear Algebra Playlist to build intuition. Link in comment. > This free course by 3Blue1Brown will teach you linear algebra through stunning visual explanations. > 16 comprehensive videos covering everything from basic vectors to eigenvalues, with a…
LLM Zoomcamp LLMs Zoomcamp, taught by Alexey Grigorev. It mainly concentrates on applications and fine-tuning. Link in comments 😎👇
Anthropic just released Free AI courses on: - Prompt Engineering - Building agents - Best practices for Agentic Coding - Collaborate with AI systems .... and so much more 9 best guides you don’t want to miss:
Fine motor skills are key to using robots in areas such as modern medicine; robots that operate in all areas of the world, enabling us to remedy the shortage of surgeons. What a great future!
Gemini Pro doesn't get enough credit for being able to upload 1500+ pages of text to reference (several textbooks in PDF form) and cites every response with a link to the text. By far the most useful LLM for specific learning.
AI Engineering Toolkit! Curated list of 100+ LLM libraries and frameworks for training, fine-tuning, building, evaluating, deploying, RAG, and AI Agents. 100% Open Source
AI Engineering Toolkit! Curated list of 100+ LLM libraries and frameworks for training, fine-tuning, building, evaluating, deploying, RAG, and AI Agents. 100% Open Source https://t.co/R53lGxjUW3
If you found it useful, reshare it with your network. Follow me → @Sumanth_077 for more such content and tutorials on ML, LLMs and AI Agents! x.com/Sumanth_077/st…
If you found it useful, reshare it with your network. Follow me → @Sumanth_077 for more such content and tutorials on ML, LLMs and AI Agents! x.com/Sumanth_077/st…
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