Rahul Sharma

SEO & Search Marketing

What is Core Web Vitals v2 and how do you optimize Interaction to Next Paint (INP) below 200ms?

Core Web Vitals v2 uses INP <200 ms as the good threshold; measure, trim main‑thread tasks, and serve early paints to stay under it.

AI Agents & Automation

How do you prevent infinite looping and state lockouts in multi-agent LLM tool execution workflows? (Part 2 Focus)

Use caps, state hashing, and circuit‑breakers to avoid loops and lockouts in multi‑agent LLM workflows.

AI Agents & Automation

How to handle non-deterministic JSON output formatting errors from LLM tools in production? (Part 2 Focus)

Enforce a canonical JSON schema and deterministic serialization (sorted keys, compact separators) at the LLM tool boundary, then validate and monitor outputs.

RAG & Vector Databases

What are the trade-offs between pgvector, Pinecone, Qdrant, and Milvus for production RAG? (Part 2 Focus)

pgvector integrates with Postgres but scales poorly; Pinecone, Qdrant, and Milvus offer distributed, low‑latency hybrid search with varying deployment models.

Prompt Engineering & LLMs

What is the role of Few-Shot Prompting when fine-tuning is not economically viable? (Part 2 Focus)

Few-shot prompting delivers near‑fine‑tune quality at zero training cost by using a small, token‑budgeted exemplar set and deterministic API settings.

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