Multiple agents – forming a team of LLMs that collaborate
This section deals with one of the most exciting recent methods in the world of LLMs, employing multiple LLMs simultaneously. In the context of this section, we seek to define multiple agents, each backed by an LLM and given a different designated role to play. Instead of the user working directly with the LLM, as we see in ChatGPT, here, the user sets up multiple LLMs and sets their role by defining a different system prompt for each of them.
Potential advantages of multiple LLM agents working simultaneously
Much like with people working together, here too, we see the advantages of employing several LLMs simultaneously.
Some advantages are the following:
- Enhancing validation and reducing hallucinations: It has been shown that when providing feedback to an LLM and asking it to reason or to check its response, the reliability of its response improves. When designating roles for the various LLM agents on...
