Whether you’re a product engineer, a product manager, or an engineering executive, you’ve probably been pushed to consider using Large Language Models (LLM) to extend your product or enhance your processes. 2023-2024 is an interesting era for LLM adoption, where these capabilities have transitioned into the mainstream, with many companies worrying that they’re falling behind despite the fact that most integrations appear superficial.
That context makes LLM adoption a great topic for a strategy case study.

Lethain, authored by Will Larson, offers a unique perspective on engineering management, leadership, and organizational dynamics. Developers and engineering leaders can explore topics such as team building, career growth, and organizational design, gaining insights into building high-impact engineering organizations. With thoughtful reflections and actionable advice, Lethain serves as a resource for those navigating the complexities of engineering leadership.

Irrational Exuberance

This post discusses the adoption of Large Language Models (LLMs) at Theoretical Ride Sharing. It outlines policy guidelines, different needs for LLM usage, and the cost of training foundational models. The post also mentions the lack of industry-specific approaches in utilizing LLMs.

How should you adopt LLMs?

<p>This is one of the best guides I have come across. You begin with culture, sort out the existing encumbrances in the workflow or assembly line, and then pick the bot you want to work with.</p>
<p>Many directly jump to step three without accounting for the first and second stages. Define, audit, and implement automation, is the future. Then there is maintenance to complete the cycle.</p>
