Beyond ChatGPT: The Future Of AI At Work

beyond chatgpt
beyond chatgpt

Thinking about using ChatGPT at work? Proceed with caution.

ChatGPT’s beta launch exceeded 1 million users in less than a week, attracting the attention of almost everyone in the entire tech ecosystem. I read articles about it in the New York Times, the Financial Times and The Atlantic, three top media sources in my books.

The AI garners work-place buzz under the possibility that its generation is so effective, it might pose a threat to human jobs such as copywriting, answering customer service inquiries, writing news reports, and creating legal documents.

Large Language Models (LLMs), and generative AI like ChatGPT to the workplace—especially where the reliability of information is paramount.

I met with the executive team at Hebbia AI, a startup leading research efforts on LLMs, to dig in. I connected with the company’s CEO George Sivulka, and Lainie Yallen, a former student of mine at McGill who is leading product, to share their perspective on ChatGPT’s recent attention and discuss how it can be used in conjunction with other machine learning algorithms for workplace applications.

When considering applying ChatGPT or any other generative model to work-related activities, it’s important to consider a fundamental limitation:

Generative AI models generate responses, they do not read sources, or cite their work. Thus, their output has no guarantee of reliability.

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