From ollama run to Tokens: What Really Happens When You Run an LLM Locally

1. 1Run an LLM locally using ollama run to understand the command-line interface
2. 2Explore the tokenization process to see how input text is converted into tokens
3. 3Configure the LLM model to accept custom input and generate output
4. 4Test the LLM model with different inputs to evaluate its performance
5. 5Analyze the output tokens to understand how the model generates text

Developers and data scientists working with LLMs can benefit from understanding the local runtime process to optimize and troubleshoot their models

💡 Running an LLM locally involves a complex process of tokenization, model configuration, and output generation

🤖 Learn how LLMs work locally, from ollama run to tokens! 🚀