Large Language Models

Large Language Models (LLMs) represent the forefront of text prediction and data analysis capabilities, offering a range of powerful solutions for enterprise needs. LLMs are machine learning models trained on vast amounts of text data to understand and generate human-like language. These models, sourced from industry leaders, are designed to enhance natural language understanding and generation across various text-based tasks. Here's a comprehensive overview of the LLMs currently supported:

• GPT-3.5, GPT-4, GPT-4o (OpenAI): These models, developed by OpenAI, are highly regarded for their natural language processing capabilities, making them versatile tools for a wide range of applications.

• Llama2 7B, Llama2 13B, Llama3 8B (Meta): Meta's Llama models are specifically engineered to efficiently process large volumes of text data, providing scalable solutions tailored to enterprise requirements.

• MistralLite 7B, Mistral 7B (Mistral): Mistral's models specialize in tasks such as language translation and content summarization, offering robust performance in text generation and comprehension.

• Phi 2B (Microsoft): Developed by Microsoft, Phi models excel in contextual understanding and inference, making them particularly suited for complex data analysis tasks.

Explore How to Integrate LLMs in Curiosity Workspace:

• Configure LLM Models: Explore how to configure LLM models within your workspace for seamless integration and efficient operation.

• Self-Hosting: Learn how to host the model (self-hosted) within your system to optimize performance and resource utilization.

If you have any questions about LLMs, please feel free to contact us at [e-mail]. For more information about our models, visit our page.