I like to train neural nets and create data intensive applications.https://ydvnkshatri.github.io/https://ydvnkshatri.github.io/blog/20260430_mlops/https://ydvnkshatri.github.io/blog/20260430_mlops/Most LLMOps guides treat ML engineering knowledge as irrelevant baggage. This one treats it as the foundation — and identifies precisely where each classical practice requires adaptation for language models in production. By the end, you should be able to audit your existing MLOps stack and know exactly which parts to keep, which to extend, and which to replace.Thu, 30 Apr 2026 00:00:00 GMThttps://ydvnkshatri.github.io/blog/20260502_retrieval_agents_decision_stack/https://ydvnkshatri.github.io/blog/20260502_retrieval_agents_decision_stack/Most retrieval-agent guides start with embeddings and chunking. This one starts three decisions earlier — should you use GenAI at all, which model size, and how to engineer the context window. By the end, you should know which lever to reach for when production results disappoint, and which problem you are actually solving.Sat, 02 May 2026 00:00:00 GMThttps://ydvnkshatri.github.io/blog/first-post/https://ydvnkshatri.github.io/blog/first-post/Lorem ipsum dolor sit ametFri, 08 Jul 2022 00:00:00 GMThttps://ydvnkshatri.github.io/blog/markdown-style-guide/https://ydvnkshatri.github.io/blog/markdown-style-guide/Here is a sample of some basic Markdown syntax that can be used when writing Markdown content in Astro.Wed, 19 Jun 2024 00:00:00 GMThttps://ydvnkshatri.github.io/blog/second-post/https://ydvnkshatri.github.io/blog/second-post/Lorem ipsum dolor sit ametFri, 15 Jul 2022 00:00:00 GMThttps://ydvnkshatri.github.io/blog/third-post/https://ydvnkshatri.github.io/blog/third-post/Lorem ipsum dolor sit ametFri, 22 Jul 2022 00:00:00 GMThttps://ydvnkshatri.github.io/blog/using-mdx/https://ydvnkshatri.github.io/blog/using-mdx/Lorem ipsum dolor sit ametSat, 01 Jun 2024 00:00:00 GMT