Llm Models

What it does

This skill allows AI agents to access and utilize various Large Language Model (LLM) models. It provides a way to integrate different LLMs into agent workflows, enabling capabilities like text generation, summarization, and question answering using diverse model architectures. The skill simplifies the process of selecting and deploying appropriate LLMs for specific tasks.

When to use it

• Experimenting with different LLMs: Quickly test various models (e.g., GPT-3, Llama 2) to determine which performs best for a given application.
• Building multi-model agents: Combine the strengths of multiple LLMs within a single agent, such as using one model for summarization and another for creative writing.
• Adapting to evolving models: Easily swap out or update the underlying LLM without significant code changes in your agent's logic.

Key capabilities

• LLM Model Selection: Choose from a range of available LLMs.
• Model Integration: Seamlessly incorporate LLMs into agent workflows.
• Dynamic Model Switching: Ability to change models at runtime.

Example prompts

• "Use the Llama 2 model to summarize this article."
• "Generate creative content using GPT-3."
• “Which LLM models are currently available?”

Tips & gotchas

The performance of the skill depends on the capabilities and limitations of the selected LLMs. Ensure your agent has appropriate access credentials or API keys for the chosen model provider.