Essential Topics for Generative AI and LLM roles If you're preparing for roles in GenAI, focus on these key areas: ∙ NLP fundamentals ∙ Transformers ∙ RAG ∙ Fine-Tuning ∙ Evaluation Metrics ∙ ML basics Each topics listed has a list of subtopics ↓

sunday cooking! </>

Did you know? Rio Grande LNG has made ~$950,000 in charitable donations focused on community development and supporting 60+ local organizations.

slow weekend! ☀️ 📕 🥗

Looking for solid open-source LLM-based OCR tools that actually work. Any recommendations?

The "Phone Call" in multi-processing is Inter-Process Communication (IPC). Because processes are totally isolated, they can’t just "see" each other's work. You have to package up your data and ship it over a boundary, which adds a performance overhead.

The "Burning Dish" in multi-threading refers to Race Conditions. Since threads share the same memory, they can trip over each other and overwrite the same variable at the exact same millisecond. You have to use Locks to keep things orderly, or your data gets corrupted.

Multithreading is efficient but easy to burn the dish if we lose focus. Multiprocessing is maximum power but sharing the recipe takes a phone call.

If you can't distinguish between multithreading and multiprocessing, then keep in mind that: Multithreading is like a chef with four pans on one stove sharing ingredients and tools. Multiprocessing is having four chefs in four separate kitchens working in parallel. ↓

My project manager, in a client email, didn’t paste a hyperlink—just plain text and colored it blue. 😶

We migrated large Databricks codebase to FastAPl due to urgent change in requirement And were told to leverage copilot when asked for more time Weeks later, still debugging Before, at least someone knew the system Al is great, but vibe-coding a critical system will bite back

We really went from “I read it somewhere” to “I saw it in a reel” in no time.

I entered the Data Science field about six years ago as a fresher. I owe about half of my success to the Udemy courses that I took.

If you know Decision Trees well enough then you know exactly what this article is measuring.

Fellow Indian devs, claim your free ChatGPT go sub.

Safari has been my daily browser on both Mac and iPhone for about two years now. Switched from Brave — never once felt the need to go back. None of the AI browsers feel worth the switch either at the moment.

"We're smart enough to invent AI, dumb enough to need it, and stupid enough to not know if we did the right thing." - Jerry Seinfeld

Must read for users using AI browsers.

Well well well. Comet competitor.

2025 has been one of the hardest year of the past decade — with personal problems and terrible work environment to work with, things rarely seem to align this year. Lately, trying to spend quiet late-night hours on self-learning hoping to channel the frustration.