GenAI’s products: Move fast and fail

Author(s): Lan Chu

Originally published on Towards AI.

Building a cool and fancy demo is easy, building a final product is not.

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Breaking Bad.

In Autumn 2022, I was working on a cool project. Yes, you guessed it — finetuning a pre-trained LLM (Bert) using company-specific data.

However, soon enough, ChatGPT was released and has taken the world by storm. And what is the point of me trying to finetune a LLM when there is one out there that is super powerful?

I have been a huge fan of Bert so when ChatGPT was released, I got caught up in that buzz too. I mean, who wouldn’t? The promise of AI was like a shiny new toy, and I was eager to play it. In this article, I would like to share my journey of a (NLP) data scientist who was craving to make impact with GenAI.

I started being involved in GenAI projects in early 2023 when the big boss wanted to do something with this new technology. I realized how lucky I was, not every executive is open to exploring the frontiers of GenAI. Soon enough, we are onboarded on the list of users on AzureOpenAI, and the party officially starts U+1F483.

There are 1.4 billion ways to use the OpenAI models, but I need to make things work along the company tech stack… Read the full blog for free on Medium.

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Published via Towards AI