Multi Llm Consult

What it does

The multi-llm-consult skill allows an AI agent to leverage multiple Large Language Models (LLMs) for a single task, aggregating their responses and providing a more comprehensive or nuanced answer. It facilitates querying different LLMs based on the specific needs of the prompt and intelligently combines their outputs. This can lead to improved accuracy, creativity, or coverage compared to relying on a single model.

When to use it

• Complex Research: When gathering information from diverse sources or perspectives is crucial for understanding a topic.
• Creative Writing Assistance: To generate varied ideas and overcome writer's block by soliciting input from multiple LLMs with different writing styles.
• Code Generation & Debugging: To get alternative solutions or identify potential errors using models trained on different codebases or debugging techniques.
• Comparative Analysis: When needing to compare the strengths and weaknesses of different approaches or arguments presented by various LLMs.

Key capabilities

• Querying multiple LLMs simultaneously.
• Aggregating responses from different LLMs.
• Intelligent combination of outputs from diverse models.
• Selection of appropriate LLMs based on prompt requirements.

Example prompts

• "Compare and contrast the economic policies of Reagan and Thatcher, using GPT-4 and Claude 3 Opus."
• "Generate three different outlines for a science fiction novel about space exploration; use Gemini Pro, Llama 3, and Mistral Large."
• “Debug this Python code snippet: [code]. Use both ChatGPT and Bard to identify potential issues.”

Tips & gotchas

• The effectiveness of this skill depends on the quality and diversity of the LLMs being used. Consider models with different strengths and training data.