How Lessons From Self-Driving Can Improve LLMs
You can’t scroll through Twitter these days without coming across a new open-source LLM evaluation framework, guide, or startup; it’s clearly a […]
Is My LLM Working?
As large language models (LLMs) like GPT-4 become more widely used, companies are integrating them into customer-facing products and relying on them […]
Converting Natural Language To SQL Queries With LLMs
One of the most intriguing LLM use cases is querying databases in natural language. Imagine that you’re a non-technical person, say an […]
Most LLM Apps Are Bullshit, And That’s OK
This past month, I’ve been hitting up the AI meetup circuit as we look to market our new ML product, Tidepool. Tidepool […]
[ChatCharlene] From BERT to GPT-4, an NLP Engineer’s Perspective
Charlene Chambliss is a senior software engineer at Aquarium Learning, where she’s working on tooling to help ML teams improve their model […]
Why You (Probably) Don’t Need to Fine-tune an LLM
This post is targeted towards folks focused on building LLM (Large Language Model) applications (as opposed to research). If you’re a builder, […]
Is Your LLM App Useful? Answer with Product Analytics
If you’re working on a software product (consumer-facing or SaaS), you’ve probably witnessed the recent explosion of AI-powered features. Now that AI […]
5 Top Product Applications of LLMs
Natural language is familiar and flexible — it’s always been the interface between people and people. Now, with the recent developments in […]
Introducing Tidepool!
The Aquarium team is thrilled to launch our new product, Tidepool! Tidepool does product analytics for AI text interfaces. With Tidepool, product […]