December 2023 Summaries

The text discusses a multi-expert problem involving green energy companies, where data is fetched from Wiki API, calendar, and a 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. Further discussion includes advantages of Jurassic-X, like reading and updating databases in free language, enabling joining multiple databases, and updating data using natural language commands.

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. Technical challenges include training discrete experts, interfacing them with neural networks, routing among modules, and avoiding model explosion. Jurassic-X offers advantages like reading and updating databases in free language, enabling practical applications such as querying databases for specific information or updating them using natural language commands.