5 ways to deploy your own large language model

It’s the fastest-moving new technology in history. Generative AI is transforming the world, changing the way we create images and videos, audio, text, and code.

According to a September survey of IT decision makers by Dell, 76% say gen AI will have a “significant if not transformative” impact on their organizations, and most expect to see meaningful results within the next 12 months.

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. The most popular LLMs in the enterprise today are ChatGPT and other OpenAI GPT models, Anthropic’s Claude, Meta’s Llama 2, and Falcon, an open-source model from the Technology Innovation Institute in Abu Dhabi best known for its support for languages other than English.

There are several ways companies deploy LLMs, like giving employees access to public apps, using prompt engineering and APIs to embed LLMs into existing software, using vector databases to improve accuracy and relevance, fine-tuning existing models, or building their own.

Read full article at CIO magazine.