How to Build, Evaluate, and Iterate on LLM Agents

Title: How to Build, Evaluate, and Iterate on LLM Agents

In this tutorial, we will walk you through the process of building, evaluating, and iterating on Large Language Model (LLM) Agents based on the insights shared in the video from the DeepLearningAI channel.

Step 1: Setting Up the Environment

1. Install the necessary packages such as True Lens, Eval Lens, Llama Hub, and Yelp API.
2. Import the required functions and classes for building and evaluating LLM Agents.

Step 2: Building the LLM Agent

1. Define the tool specifications for interacting with the Yelp API by creating a tool spec.
2. Initialize the Yelp tool spec and the load and search tool spec for handling large responses.
3. Construct the LLM Agent by passing the Yelp tool spec and the load and search tool spec to the agent.

Step 3: Evaluating the LLM Agent

1. Set up feedback functions for evaluating the LLM Agent, such as query translation, context relevance, groundedness, and answer relevance.
2. Run the evaluations using True Lens to assess the performance of the LLM Agent in translating queries, providing relevant context, and generating accurate responses.
3. Use the True Lens dashboard to visualize the evaluation results and compare different versions of the LLM Agent.

Step 4: Best Practices for Building LLM Agents

1. Write clear and concise tool prompts for API interfaces to guide the agent in interacting with external services.
2. Ensure error tolerance in the tools to handle partial or faulty inputs from the agent.
3. Avoid overwhelming the agent with too many tools, as it may lead to confusion and incorrect usage.
4. Consider implementing a network of agents for more complex tasks to distribute the workload effectively.
5. Focus on observability and monitoring throughout the development and deployment of LLM Agents to ensure performance and reliability.

By following these steps and best practices, you can effectively build, evaluate, and iterate on LLM Agents for various applications, including chatbots, data retrieval, and synthesis of information.