sharpbyte.dev — AI learning hub

sharpbyte.dev — AI learning hub Structured AI paths, LLM system design notes, and interview prep — static updates. 2026-05-09T12:00:00Z https://sharpbyte.dev/feed.xml Pramod Kumar Panda https://sharpbyte.dev/about/ © 2026 Pramod Kumar Panda AI learning hub — home https://sharpbyte.dev/#home 2026-05-09T12:00:00Z

Hub entry: two tracks, interview prep, and how to navigate the site.

Learning paths overview https://sharpbyte.dev/learn/#hub 2026-05-09T12:00:00Z

Path A (ML → LLM depth), Path B (applied LLM engineering), samples, bridges, capstones.

Interview ready — theory and system design https://sharpbyte.dev/learn/interview-ready/#hub 2026-05-09T12:00:00Z

Theory Q&A bank and multi-section LLM system design guide (Q1–265).

Path A — Foundations (ML → LLM) https://sharpbyte.dev/learn/foundations-ml/#path-a 2026-05-09T12:00:00Z

Classical ML through Transformers, pretraining, fine-tuning, and production ML intuition.

Path B — Applied LLM engineering https://sharpbyte.dev/learn/applied-llm/#path-b 2026-05-09T12:00:00Z

RAG, orchestration, agents, MCP, evaluation, and shipping LLM products.

Subscribe — RSS / Atom https://sharpbyte.dev/subscribe.html 2026-05-09T12:00:00Z

How to follow the hub in Feedly, Inoreader, or any reader — plus the raw feed link.

Portfolio https://sharpbyte.dev/about/#page 2026-05-09T12:00:00Z

Background, experience, and how to connect.