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- Four-agent swarm outperforms single agent in speed
The industry confronts funding and resource distribution issues amidst growing research demand, prompting experts to discuss new models for supporting scientific activity.
- Field
- a tool, not research
- What they did
- Developed a tool that combines multiple language models into a group (a 'swarm') to work in parallel, speeding up task execution.
- Why it matters
- This allows complex tasks to be completed faster because parallelism reduces total execution time, even if each model in the group consumes more tokens.
#science economy#funding#research#ai industry#resources
