May 2022 Summaries

The text discusses a multi-expert problem involving green energy companies, where data is fetched from Wiki API, last month dates are extracted from the calendar, and share prices are retrieved from a database. The largest increase in share prices is then computed by a calculator, and the answer is formatted by a language model. The text also mentions challenges in implementing multi-expert knowledge systems (MRKL) like training discrete experts, smoothing interfaces, routing among modules, etc. It highlights the advantages of Jurassic-X, such as reading and updating databases using free language, enabling joining multiple databases, and updating databases with natural language commands.