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Tools for developers: Unleash Machine Learning with Colab (Free!) Google Colab lets you explore machine learning without needing a fancy computer. It's free, cloud-based, and runs on powerful servers. Train complex models and analyze massive data

The ultimate AI/ML roadmap for beginners 👇 𝗠𝗮𝘁𝗵𝘀 What to learn: • Linear Algebra • Calculus • Statistics Resources: • Practical Statistics for Data Science( https://amzn.to/446czl5 ) • Mathematics for Machine Learning( https://amzn.to/441s

3B LLM outperforms 405B LLM 🤯 Similarly, a 7B LLM outperforms OpenAI o1 & DeepSeek-R1 🤯 🤯 LLM: llama 3 Datasets: MATH-500 & AIME-2024 This has done on research with compute optimal Test-Time Scaling (TTS). Recently, OpenAI o1 shows that Test-

My Favorite AI & ML Books That Shaped My Learning Over the years, I’ve read tons of books in AI, ML, and LLMs — but these are the ones that stuck with me the most. Each book on this list taught me something new about building, scaling, and underst

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

Day 2/100 : free AI resources sharing topic of day : machine learning Books ✓Machine Learning For Absolute Beginners by Oliver Theobald https://mrce.in/ebooks/Machine%20Learning%20for%20Absolute%20Beginners.pdf ✓Hands-On Machine Learning with

🚀 For the first time in LLM History! Introducing Agentic Compound LLMs in AnyLLM. What are agentic LLM's ? Agentic LLMs have access to all the 10+ llms in anyllm and know when you use any one of them to perform a specific task. They also have acces

Top 10 AI Research Papers Since 2015 🧠 1. Attention Is All You Need (Vaswani et al., 2017) Impact: Introduced the Transformer architecture, revolutionizing natural language processing (NLP). Key contribution: Attention mechanism, enabling models

What Advice to give Beginners to learn Machine learning And Ai...

Every day you skip reading this book = a missed opportunity. AI Engineering by @chipro is gold: • Build with LLMs • RAG & agents • Dataset engineering • Evaluation metrics that matter This isn’t just theory. It’s how to build. #AI #LLM #RAG #Tec