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TMT, Press & Publication Technology Services | Capital Markets | IPO | Technology Management | Global Business Development | China TMT Sector

Customization is key, startups in this budding sector say. Taking off-the-shelf generative #AI tech, or “large language models” in tech parlance, and tailoring them to work with a company’s existing systems is a technical task requiring knowledge of both #LLMs and of the company to be outfitted, they say. #business #digitaltransformation

Companies Need Help Using AI. Cue the Integration Startups.

Companies Need Help Using AI. Cue the Integration Startups.

wsj.com

Godwin Josh

Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer

3w

Customizing LLMs for enterprise applications often involves fine-tuning pre-trained models on proprietary datasets using techniques like transfer learning and prompt engineering. This process requires careful consideration of data preprocessing, model architecture selection, and evaluation metrics tailored to the specific business needs. Given the increasing complexity of enterprise systems, how do you ensure that customized LLMs can effectively handle diverse data formats and integrate seamlessly with existing workflows?

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