Building Agents Locally with Llama 3 Model

🏗️Build agents locally using the Llama 3 model and Ollama

📞Explore function calling and structured outputs with Llama 3 and Phi-3 models

🌤️Use Ollama functions to get weather information and more

Can I build agents without using the cloud?

—Yes, you can build agents locally using the Llama 3 model and Ollama.

What is the difference between Llama 3 and Phi-3 models?

—The Llama 3 model is larger and generally more powerful, while the Phi-3 model is smaller but still effective for various tasks.

How can I use Ollama functions to get weather information?

—You can define a tool function for getting weather information and use Ollama functions to call that function with specific arguments, such as the location and unit of measurement.

What other tasks can I perform with Ollama functions?

—You can perform various tasks, such as language translation, data analysis, and more, by defining appropriate tool functions and calling them using Ollama functions.

Is Ollama functions supported by all models on Ollama?

—No, not all models on Ollama support Ollama functions. However, models like Llama 3, Phi-3, and some Mixtral models are compatible with Ollama functions.

00:00Introduction and overview of building agents locally with the Llama 3 model and Ollama.

03:00Demonstration of setting up Llama 3 with Ollama and running function calls locally.

05:40Exploration of extracting structured outputs using JSON and Pydantic with Llama 3 and Phi-3 models.

08:50Explanation of using Ollama functions for tool calling and getting structured responses.

11:09Demonstration of using Ollama functions to get weather information and other tasks.