Gustavo Sandoval’s Post

Sharing is caring. Get to know more about ML and AI engineering. These repos should be a good starting point :) #ai #ml #llm

A platform to learn and gain insights as per interest. Look into the GitHub Repositories to gain knowledge on Machine Learning and Artificial Intelligence.

Bookmarking this will definitely help you in the future!

A very helpful list for those who start out and progress in ML/AI from Meri Nova !

Start your #AI journey now.

5 Best Github Repos to help you become a better ML / AI engineer: 1. Applied ML. All About Machine Learning in Production by Eugene Yan (26k stars) - https://lnkd.in/gwrkyJtf 2. Awesome Scalability. Build scalable ML systems by Binh Nguyen (56k stars) - https://lnkd.in/ghshNVKh 3. Creme de la Creme of Free AI courses by Piotr Skalski (4.7k stars) - https://lnkd.in/gy4cPJZ6 4. 60 Implementations of Deep Learning papers by labml.ai (60k stars) - https://lnkd.in/gnNE8Ptm 5. Made with ML. Learn to design, develop, and deploy production-grade ML applications by Goku Mohandas (36k stars) - https://lnkd.in/gjCQqjiC If you find these helpful... 👍 React ♻️ Share 💬 Comment So more people can learn. --- Happy building and experimenting!

Hey LinkedIn Network! 🌟 I've started a transformative journey to master Artificial Intelligence (AI) from scratch to advanced levels. With the rapid advancements in AI technology, I believe it's essential to stay ahead and continually expand my skill set. To guide my learning path, I'm utilizing an incredible resource I found on GitHub: https://lnkd.in/dE4CRHfw This repository offers a comprehensive collection of resources that cover various aspects of AI and Machine Learning, from foundational concepts to cutting-edge techniques. Here's what I'm particularly excited about: Foundational Learning 📚: Starting with the basics to build a strong foundation in AI. Hands-on Projects 🛠️: Engaging with practical projects to apply theoretical knowledge. Advanced Techniques 🧠: Diving deep into complex algorithms and models. Community Support 🤝: Leveraging the power of the AI community for guidance and collaboration. 💡 Why AI? Artificial Intelligence is not just the future—it's the present. Whether it's enhancing customer experiences, optimizing business operations, or driving innovative solutions, AI is at the forefront. By mastering AI, I aim to contribute to innovative projects and drive impactful changes in various domains. 🌐 Join Me! If you're also passionate about AI or have any recommendations, feel free to connect or share your thoughts. Let's learn and grow together! #ArtificialIntelligence #MachineLearning #AI #DeepLearning #LearningJourney #GitHub #TechInnovation #ContinuousLearning

🚀 Did you know that by the year 2025, it's estimated that the AI market will surge to over $190 billion? That's a lot of smart tech underpinning our future! Here's a quick breakdown of the basics that are shaping our world: 1️⃣ **Algorithms** - Think of them as the "recipes" for AI. They tell the system how to make decisions based off data. 2️⃣ **Machine Learning** - This is where computers actually learn from that data. They spot patterns and get better over time, like a child learning to walk. 3️⃣ **Neural Networks** - Inspired by the human brain, these networks help machines to think and understand like us. 🔍 Did You Know? The term "Machine Learning" was coined by Arthur Samuel in 1959 while he was working at IBM. 👨💻 Pro Tip: If you're dipping your toes into AI, start with learning Python. It's the programming language of choice in the AI field thanks to its simplicity and flexibility. If you're as intrigued by these developments as I am, let's dive deeper! 💡 🤔 What aspect of AI excites or concerns you? Have you seen it impact your industry yet? Remember, sharing is caring! If you found this intro to AI and Machine Learning insightful, please like, comment, or share with someone who'd love to get started with AI. #ArtificialIntelligence #MachineLearningBasics #AILearning

🚀 Exciting AI Learning Opportunity! 🤖 I've created a repository for learning LangChain, RAG, and LLMs. 📚💻 Key features: • 🛠️ Hands-on with LangChain, LangSmith, LangGraph, HuggingFace • 📝 TypeScript projects • 📈 From basics to advanced AI development • 📖 Based on official docs Join me in this learning journey! 🤝 Contribute, learn, and grow together. 🌱 Check it out: https://dub.sh/jbrCwz2! 🔗 #AI #Typescript #LangChain #MachineLearning #Learning 🏷️

🚀 Exploring Cutting-Edge AI Agents on GitHub AI development is rapidly evolving, and some of the most innovative projects are happening in the open-source community on GitHub. Here are a few AI agent projects that are making waves: 🌟 Project Highlights: 1. OpenAGI: https://lnkd.in/dQbGnXWY A collaborative quest for Artificial General Intelligence (AGI). This project invites researchers and developers worldwide to contribute, accelerating innovation and ensuring transparency in AI development. 2. Agent Ops: https://www.agentops.ai/ A powerful Python SDK designed to make managing large language models (LLMs) and intelligent agents easier. With features like debugging, cost management, and security monitoring, it’s a must-have for AI developers. These projects are not just pushing the boundaries of AI research but also democratizing access to advanced AI tools. Whether you’re an AI enthusiast, researcher, or developer, these GitHub projects are worth exploring. #AI #MachineLearning #OpenSource #GitHub #ArtificialIntelligence #AGI #LLM #DeepLearning #Python