The Dataquest Download
Level up your data and AI skills, one newsletter at a time.
Hello, Dataquesters!
Here’s what we have for you in this edition:
Top Read: How to reduce LLM costs using Semantic Caching and Conversation Memory. Learn more
From the Community: Best practices for API security and mastering advanced search. Join the discussion
What We’re Reading: Emerging AI roles, the “luck” of publishing your work, and Codex vs. Claude. Learn more
As vector search systems grow, performance and cost start to matter—especially once you connect them to language models. In this tutorial, you’ll learn how to use vector databases for semantic caching and conversation memory. You’ll see how to avoid redundant LLM calls when users ask similar questions, handle follow-up queries that reference earlier context, and reduce costs without sacrificing quality. A practical next step for anyone building multi-turn, LLM-powered search systems.
From the Community
Using Advanced Search in the Community: Learn how to search Community posts using more granular criteria than just keywords, such as topics with specific tags, posts created before a certain date, or those that include images.
Helpful Project Reviews: Alla suggested valuable best practices for working on data science projects, particularly avoiding hardcoding API keys in scripts and using clear, consistent names for functions and variables—see here and here.
What We're Reading
New AI Roles Are Emerging: OpenAI is hiring a Head of Preparedness to plan for increasingly advanced AI systems. It’s a sign of how the job market is shifting — data skills now open doors to new roles at the intersection of AI, risk, and security.
Publishing Your Work Increases Your Luck: A quick reminder that sharing your work publicly creates more opportunities. This piece explains how visibility compounds over time, and why publishing projects can quietly open doors
Codex vs. Claude Code: A quick comparison showing there’s no single “best” AI tool. The right choice depends on how you work, and the only real way to find the strengths and limits of each is to try them yourself.
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