> ## Documentation Index
> Fetch the complete documentation index at: https://docs.shaktistudio.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# Large Language Models
The LLM (Large Language Model) playground offers a versatile space for text generation and conversational AI. Users can:
* **Chat**: Engage in interactive conversations with the model, simulating real-world dialogue.
* **Configure Output**: Adjust settings like output length, temperature and top-P to customize the responses generated by the model.
* **Experiment with Prompts**: Input different prompts and scenarios to see how the model responds, allowing for creative and practical applications.
* **Evaluate Interactions**: Analyze the generated text for coherence, creativity, and relevance to ensure it meets the required standards.
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### Settings explained
`output tokens:` The maximum length of the generated response, important for controlling the verbosity of the output.
`temperature:` Controls randomness in the output; higher values produce more creative results, while lower values yield more deterministic responses.
`top-P:` Uses nucleus sampling to choose tokens from the top P cumulative probability mass, balancing creativity and coherence.
`stop sequence:` Specific sequences that, when generated, will halt further output.
`system prompt:` The initial instruction or context setting the behaviour of the model.
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Access the **Llama model** API documentation [here](/api-reference/inference/llama3.1-8B) for endpoints, parameters, and code examples.