Ever get an email trying to sell you a product you’ve already bought? Or had a service interaction where you had to answer the same questions multiple times with different people?
Large language models (LLMs) promise to eliminate these annoyances by providing greater levels of information-sharing and personalization within your company’s operations. The problem is, off-the-shelf LLMs, such as OpenAI’s ChatGPT and Google’s Bard, which are used by many companies, are built with generic data universally available on the internet. Since they don’t have access to your proprietary data, any AI that’s built on top of them won’t deliver the nuance your customers expect. And generic data isn’t always up to date. ChatGPT’s data only goes up to January 2022, for example.
To tailor off-the-shelf LLMs to your company’s needs, you’ll have to incorporate your own company data into the artificial intelligence (AI) model. This process, called fine-tuning, may
Leave a Reply