Efficiency in Creating Large Language Models Through Integration
The text examines the efficiency in developing large-scale linguistic processing tools and the promise that combining existing models holds in conserving effort and resources. The article highlights an ongoing contest that invites participants to blend and refine pre-built expert systems for particular functionalities. To qualify, these combined systems must adhere to established standards, and a starting resource package is made available to all contenders. Interested participants can send their entries from the beginning of June until halfway through September, with the victors slated to be announced in December of 2024.
Read more:
GitHub