Want to chat with the famed finance guru Michael Mauboussin? Here's how

It is trained on over over a million tokens of Michael Mauboussin's content.

If you ever wanted to ask questions to the famed investment strategist and professor of finance, Michael Mauboussin, then there is a chat tool built powered by a large-language model (LLM) available online.

Mauboussin, head of Consilient Research at Counterpoint Global, Morgan Stanley Investment Management, and adjunct professor of finance at Columbia Business School, has shared a link for it through his X handle: https://www.michaelmauboussin.chat/

He was responding to a user's post on waiting for an artificial-intelligence (AI) model that would respond like Mauboussin does. The strategist/professor added that the chat solution "needs a lot of work but the project is underway".

Also read: ChatGPT is now 'smarter', less conversational and more direct, says OpenAI

The description on the page reads, "This is a fine-tuned version of GPT-3.5, trained on over over a million tokens of Michael Mauboussin's content."

It suggests how to start a conversation with it with a few examples such as ask for a book recommendation; ask about a concept in behavioural finance and ask about Mauboussin's publications.

It also comes with an important warning, that MauboussinGPT can sometimes provide inaccurate responses.

In response to Mauboussin's post sharing this GPT solution, Total Capital, which advises private-equity investors, wrote, "This thing will put a lot of us out of business".

The finance industry has been quickly building solutions using large-language models.

In June 2023, an associate professor of computer science at John Hopkins University's Whiting School of Engineering, Mark Dredze spoke about building the first large-language model for the finance industry along with Bloomberg.

An interview published on the university's website described it: "Like ChatGPT and other recently introduced popular language models, this new AI system can write human-quality text, answer questions, and complete a range of tasks, enabling it to support a diverse set of natural language processing tasks unique to the finance industry."

Dredze said that it involved building a data-set that was 30x the size of all the text that was available in Wikipedia.

The team also shared how they built and trained the model through a 70-page document.

In September 2023, Alibaba Group's affiliate Ant Group unveiled its very own large-language model (LLM) and two apps powered by it. One of the apps--Zhixiaobao 2.0--could be used by individuals to get market insights, portfolio diagnosis, asset-allocation strategies and so on. The other app--Zhixiaozhu 1.0--could be used by finance professionals for tasks such as investment analysis, content creation and business-opportunity insights.