Jayanth MKV

🌟 The Power of Your Inner Circle and Community! 🤝✨ We often hear the saying, "Your network is your net worth," and there's a profound truth to it. 👉 Click the link below to join our xplore community on Discord: [Discord Invitation Link:](discord.com/invite/9MxVqae…)

Check out my latest article: TypeVar + Generic -> Type-Safe Pipelines in Python (Finally) linkedin.com/pulse/typevar-…

Each step costs something: - Complex → lose ordering - Quaternions → lose commutativity - Octonions → lose associativity The universe of numbers has rules even imagination can't break. 🌌

Mathematical law prevents it. Frobenius proved that only dimensions 1, 2, 4, and 8 can support proper division algebras. Three dimensions simply cannot exist with consistent arithmetic! 🚫

The Journey Through Dimensions of Numbers** 🔢✨ 1D: Real numbers (ℝ) 2D: Complex numbers (ℂ) - 1831 3D: *Impossible* - 1877 4D: Quaternions (ℍ) - 1843 **8D:** Octonions - 1843-1845 Why skip 3D?

Tried a few coding agents on writing streamlit code Most of them didn't perform well!

Check out my latest article: How to Build a Perplexity-Like Agent? A Developer's Guide to Next-Gen AI Assistants linkedin.com/pulse/how-buil…

7/7) TL;DR on ReFrag: It uses a helper AI to compress documents. The main AI needs special training to understand these compressions. This is why it requires model changes, not just an API call. Hope this helps! If you found this useful, RT the first tweet to share.

6/7) The payoff for this complex training is huge: a system that can handle much longer documents with a massive speed boost. It’s a powerful new method for building next-gen RAG systems, not a simple plug-in for old ones.

Ever heard of Meta's ReFrag? It makes AI context processing up to 30x faster. So why isn't everyone using it yet? 1/7) It's not a simple switch. Here’s the real reason, explained simply. 🧵

🔗 Just published: "Webhooks: An Essential HTTP-Based Callback Pattern for Backend Systems" linkedin.com/pulse/webhooks…

That’s it! mypyc can give you 2x–10x boost for type-annotated code WITHOUT rewriting in C. Try it, benchmark, and #python faster!

Workflow: Develop & test in regular Python Add type hints Compile with mypyc for deploys or speedups You can keep both .py (source) and .so (fast) versions!

If trying to make python faster try mypyc It compiles typed Python to blazing fast C extensions. Here’s a quick step-by-step guide: