watsonx-llm-example

WatsonX LLM Example

This example demonstrates how to use the WatsonX language model with LangChain Go to generate text completions. It's a simple and fun way to explore the capabilities of large language models!

What This Example Does

1. Sets up the WatsonX LLM: The code initializes a WatsonX language model using the "meta-llama/llama-3-70b-instruct" model. You can easily customize this by uncommenting and providing your own API key and project ID.

2. Generates a Company Name: The example asks the LLM to come up with a creative company name for a business that makes colorful socks. It's a playful prompt that showcases the model's ability to generate creative ideas.

3. Customizes Generation Parameters: The code demonstrates how to fine-tune the text generation process using parameters like TopK, TopP, and Seed. These allow you to control the creativity and consistency of the output.

4. Prints the Result: Finally, the generated company name suggestion is printed to the console.

How to Run

1. Ensure you have Go installed on your system.
2. Set up your WatsonX credentials (API key and project ID) if needed.
3. Run the example with: go run watsonx_example.go

Fun Twist

Every time you run this example, you might get a different, creative company name for your imaginary colorful sock business. It's like having a brainstorming session with an AI!

Enjoy exploring the world of AI-generated business names and have fun with your virtual sock company! 🧦🌈