After a year working with LLMs, we’ve distilled key practices for prompting, RAG, and evaluation. Learn how to structure inputs, optimize workflows, evaluate outputs effectively, and tackle persistent challenges like hallucinations. Ship robust, reliable AI applications.
As a veteran data scientist, you might think LLMs are part of my daily workflow. Turns out, my usage might surprise you. Discover which tasks LLMs actually nail, how to sidestep common pitfalls like hallucination, and why prompt engineering is your secret weapon for unlocking their power.
Forget AGI hype; think of LLMs as rapid-fire coding partners. Learn practical tips for augmenting your skills, not replacing them, navigating training data gotchas, and using context like a pro to ship projects faster than ever. You might even discover a new “vibe” for learning.
Forget complex AI architectures. Discover how a single SQLite table and a handful of cron jobs can conjure a surprisingly capable personal assistant. Learn how to build your own hackable AI butler powered by simple data and creative prompting.