Daily Dose of Data Science

Daily Dose of Data Science

Continuous Batching in LLMs
The technique behind vLLM's 23x throughput jump and the default scheduler in every serving engine.
 • Avi Chawla
[Hands-on] Audio RAG with 200x Cheaper Vector DB Costs
...while also outperforming OpenAI and Cohere.
 • Avi Chawla
Karpathy's Full Agentic Engineering Lifecycle using Google's Agents-CLI
...explained as step-by-step guide.
 • Avi Chawla
How to Query Billion+ Rows on Postgres Without the Overhead
...explained as a full setup guide.
 • Avi Chawla
A 10-week Roadmap to Run LLMs in Production
...covered with hands-on resources.
 • Avi Chawla
[Hands-on] Build Semantic Search Inside Your Database Without an Embedding Pipeline
...explained with code.
 • Avi Chawla
The Missing Piece of Agent Self-Improvement
...explained step-by-step with code.
 • Avi Chawla
[Hands-on] How to Serve 5 Models On One GPU
How small specialized models are changing inference infrastructure, and why serving them efficiently takes more than standard serving frameworks.
 • Avi Chawla
Why Your Agent Remembers Everything and Understands Nothing
Building a pattern recognition layer for memory in production.
 • Avi Chawla
The Hands-on AI Engineer Playbook to Build RAG Apps for Production
Why RAG latency is a prefill problem, not a retrieval problem.
 • Avi Chawla
Build a Stock Market Research Agentic Workflow​
...using a no-code drag-and-drop builder.
 • Avi Chawla
8:21

July 2026

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