Built for the Enterprise: Introducing AI21’s Jamba-Instruct Model

The text discusses a multi-expert problem involving green energy companies, where data is fetched from Wiki API, calendar, and database. It then computes the largest increase in share prices using a calculator and formats the answer with a language model. The process involves challenges such as training discrete experts, interfacing them with neural networks, routing among modules, etc. The text also mentions advantages of Jurassic-X, including reading and updating databases in free language, enabling joining multiple databases, and updating databases using natural language commands.