I’m thrilled to announce the launch of our brand-new community focused on Machine Learning, AI, and advancements in AI! This space is designed to bring together passionate individuals like you who are eager to explore innovations, collaborate on groundbreaking projects, and support each other’s growth.Here’s what you can look forward to:Engaging discussions on the latest trends, tools, and breakthroughs in AI.Opportunities to network with researchers, practitioners, and enthusiasts from around the world.Access to exclusive resources, tutorials, and insightful events.I warmly invite you to join us on this exciting journey. Together, we can build a vibrant, forward-thinking community where we share knowledge, inspire innovation, and achieve extraordinary milestones.Let’s push the boundaries of what’s possible in AI—together!

I tried downloading and running a small llama model on my MacBook Air. It is running very slow and if I try a bigger model, it is completely erroring out. Why is this happening?

Looking for suggestions on the best course for beginners to learn machine learning? I’ve been in the industry for nearly two decades but want to learn ML for my own interest. Would really appreciate it if fellow ML developers and learners can suggest some beginner-friendly courses available on the Internet. Do not shy away from recommending paid courses. There are plenty of free ones on YouTube, but not beginner friendly.

I’ve been in the IT industry for over 25 years, mostly in roles involving enterprise architecture, digital transformation, and cloud strategy. Lately, I’ve been asked to create or recommend a learning path for professionals like me who are not aiming to become data scientists but want to deeply understand how AI and machine learning are shaping modern organizations.The goal is to prepare experienced professionals to lead or collaborate on AI initiatives — not just with a technical understanding, but also with a grasp of project lifecycle, governance, ethical risks, and business alignment.What topics, frameworks, or modules should such a curriculum include to be both practical and future-proof? Any insights or examples are appreciated.

I’m just starting out with machine learning and want a book that explains basics in simple language. I’d love one with lots of practical Python examples and step by step exercises. Real-world projects would help me learn faster. If you’ve read a good beginner ML book that really helped you understand the concepts, please share your recommendation.