🌟 Welcome to our latest tutorial on Ollama Tool Calling! 🌟
In this video, we’ll dive deep into using the Ollama tool to enhance your applications with function calling. Follow along as we create a weather application that can fetch real-time data and integrate it seamlessly with a large language model (LLM). Ollama Tool Call: EASILY Add AI to ANY Application, Here is how. Ollama Function Calling.
What You’ll Learn:
• Basics of Ollama Tool Calling: Understand how function calling works.
• Creating a Weather App: Step-by-step guide to building and integrating the app.
• Integrating LLMs: Connect your app to large language models for real-time responses.
• Practical Examples: See how tool calling enhances AI capabilities.
Why Watch?
• Empower Your Projects: Learn to use powerful tools for better AI integration.
• Hands-On Learning: Detailed steps and code snippets provided.
• Expand Your Skills: Perfect for developers looking to enhance their toolset.
By the end of this video, you’ll have a functional weather app integrated with Olama’s tool calling, ready to fetch and display real-time weather data. Let’s get started! 🚀
🔗 Links:
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Code: https://mer.vin/2024/07/ollama-tool-call-example/
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Timestamps:
0:00 – Introduction
0:18 – Why Tool Calling is Important
1:12 – Creating a Weather Application
2:07 – Installing and Setting Up Ollama
3:00 – Coding the Get Weather Function
3:45 – Integrating Function Calling with Ollama
5:54 – Running and Testing the Application
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source
date: 2024-07-27 10:38:13
duration: 00:06:49
author: UCWTyktbw5JYoSBduu8LsBgQ
Ollama Tool Call: EASILY Add AI to ANY Application, Here is how
In this video, a DeFi tech editor explains how to use Ollama’s tool call feature to add AI capabilities to any application. The editor, a 30-year-old expert in the field, begins by introducing the concept of Ollama, a large language model that can be used to power AI applications.
He then explains that Ollama’s tool call feature allows developers to create custom tools that can be used to interact with the model. The editor shows how to create a simple "get current weather" tool that can be used to retrieve the current weather in any city.
The editor then demonstrates how to integrate the tool with Ollama’s model using the "tool call" feature. He creates a Python application that imports the Ollama model and uses the tool call feature to retrieve the current weather in Toronto.
The video is a step-by-step guide to creating a simple application that can be used to demonstrate the power of Ollama’s tool call feature. The editor concludes by encouraging viewers to subscribe to his YouTube channel for more videos on DeFi technology and AI.
Overall, the video is an interesting look at how developers can use Ollama’s tool call feature to add AI capabilities to their applications. While the video is aimed at a technical audience, the editor’s explanations are clear and easy to follow, making it accessible to a general interested reader.
