Python & Chill
Banias BaabeA newsletter to level up as an AI Engineer with tutorials and learnings.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 22 | Founded | 2 years ago | Last Issue | 8 months ago |
| Active | |||||
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How to Create Synthetic Data for RAG Evaluation
Image by DeepEval
Introduction
Evaluating your LLM app, for example a RAG-based chatbot, is a crucial step many teams overlook.
It’s important to know how well your RAG pipeline performs: how accurate is retrieval? Does it return the c...
"Is It Safe?": A Practical Guide to Hardening Your LLMs with DeepTeam in Python
Introduction
I see people who build LLM-powered applications obsessing over metrics like retrieval quality, answer accuracy, or how well-crafted their 6,000-word prompts are. But no one recognizes the value of testing their LLM from a s...
My Pre-commit File I Use on Every Project
Introduction
Imagine this: your code review gets derailed by trailing whitespaces, variable typos, or leftover commented-out code. Embarrassing, right? There’s a better way to keep your repo clean.
With a killer `.pre-commit-config.yam...
How to Manage LLM Prompts With Mlflow
This post is sponsored by Maxim AI. Maxim AI is an end-to-end observability and evaluation for your LLMs and AI Agent. It offers a powerful playground for your experiments, agent simulations to test against complex scenatios and ob...
Test Your API For Production With K6
Testing APIs for production-readiness is a crucial step people tend to overlook in developing software.
Imagine you are a ticket sales company which sells tickets for the next Taylor Swift concert tomorrow.
You tested your features if the...
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The writers behind this newsletter.
I teach AI Engineers the concepts and tools they need to stay ahead | AI Engineer @ Netze BW
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