The easiest way to build and scale generative AI applications with foundation models.| Amazon Web Services, Inc.
In How should you adopt LLMs?, we explore how a theoretical ride sharing company, Theoretical Ride Sharing, should adopt Large Language Models (LLMs). Part of that strategy’s diagnosis depends on understanding the expected evolution of the LLM ecosystem, which we’ve build a Wardley map to better explore. This map of the LLM space is interested in how product companies should address the proliferation of model providers such as Anthropic, Google and OpenAI, as well as the proliferation of ...| lethain.com
The How should you adopt LLMs? strategy explores how Theoretical Ride Sharing might adopt LLMs. It builds on several models, the first is about LLMs impact on Developer Experience. The second model, documented here, looks at whether LLMs might improve a core product and business problem: maximizing active drivers on their ridesharing platform. In this chapter, we’ll cover: Where the model of ridesharing drivers identifies opportunities for LLMs How the model was sketched and developed using...| lethain.com
In How should you adopt Large Language Models? (LLMs), we considered how LLMs might impact a company’s developer experience. To support that exploration, I’ve developed a system model of the developing software at the company. In this chapter, we’ll work through: Summary results from this model How the model was developed, both sketching and building the model in a spreadsheet. (As discussed in the overview of systems modeling, I generally would recommend against using spreadsheets to d...| lethain.com
In the past few years, the Machine learning (ML) adoption and impact at Uber have accelerated across all business lines. Today, ML plays a key role in Uber’s business, being used to make business-critical decisions like ETA, rider-driver matching, Eats homefeed ranking, and fraud detection.| Uber Blog
The conventional wisdom, well captured recently by Ethan Mollick, is that LLMs are advancing exponentially. A few days ago, in very popular blog post, Mollick claimed that “the current best estimates of the rate of improvement in Large Language models show capabilities doubling every 5 to 14 months”:| garymarcus.substack.com
Sam Altman says the research strategy that birthed ChatGPT is played out and future strides in artificial intelligence will require new ideas.| WIRED
Create user-facing experiences, new products, and new ways to work with the most advanced AI models on the market.| www.anthropic.com