Is your RAG system a paperweight?
It is if it can't handle a simple follow-up question.
Building basic RAG is easy. The real challenge is engineering systems that go beyond simple retrieval and actually do more with your data. This is how you build a RAG pipeline that can…
Are you currently hiring for a role that includes using Node.js? Reply with a link to the opening and any relevant context.
If you're not, we'd appreciate a repost for visibility 💚
This is a collection of 300 ML system design case studies in the real world, from Stripe, Spotify, Netflix, Meta, etc.
Perfect for interviews and to learn how it’s done in the real world.
Link in the comment section.
LeetCode was HARD until I Learned these 15 Patterns:
1. Prefix Sum
2. Two Pointers
3. Sliding Window
4. Fast & Slow Pointers
5. LinkedList In-place Reversal
6. Monotonic Stack
7. Top ‘K’ Elements
8. Overlapping Intervals
9. Modified Binary Search
10. Binary Tree Traversal
11.…
If you're getting into LLMs, PyTorch is essential.
And lot of folks asked for beginner-friendly material, so I put this together:
PyTorch in One Hour: From Tensors to Multi-GPU Training (sebastianraschka.com/teaching/pytor…)
📖 ~1h to read through
💡 Maybe the perfect weekend project!?
I’ve…
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Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
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father of 3, dad jokes my own
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4K Followers 95 FollowingStudents at UC Berkeley working on academic research, ML education, industry projects, and fostering a vibrant ML community 🧠💡
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