LLM-native Products: Industry Best Practices and What’s Ahead

Abstract: 

The next generation of LLM-powered products will not look and feel like ChatGPT. ChatGPT captured everyone's imagination because it could do everything - suggest international travel plans, generate ideas for dates, and analyze lengthy legal contracts. Now companies are building AI models that are more narrowly focused and must avoid the recurring issues of hallucination and non-deterministic answers. The mistakes made by ChatGPT and its successors pose much greater business risks for the enterprise. An incorrect answer to a simple math problem or directions to a cafe that doesn't exist might make the news as a silly, laughable mistake. But a customer socially engineering a model to ask about confidential pricing documents, or an employee poking around HR performance reviews could result in a PR fiasco. In August 2023, a generative AI for recipes mistakenly produced a recipe that was poisonous to humans.

As an NLP practitioner of over a decade, I have experience working with Fortune 100 companies and actively observe trends in how they are seeking to deploy LLM/GenAI technologies. This talk will explore the business objectives LLMs are most suited to address across all industries, and how organizations ranging from healthcare to eCommerce are leveraging this new technology to increase revenue or cut costs. We will also discuss how to avoid common pitfalls organizations make in scoping and building their projects, how to set reasonable goals and milestones for executive sponsors, and look ahead to a future where LLMs ubiquitously power all our day-to-day applications behind the scenes.

Bio: 

Ivan Lee graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo.

Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Open Data Science

 

 

 

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