Harness the Power of Open-Source LLMs & LSTMs for Enterprise AI

Private | Secure | Lightning-Fast

Unlock the potential of GPT-NeoX, LLaMA, BLOOM, and GPT-J—four advanced language models designed for seamless deployment on your infrastructure. Experience unparalleled security, customization, and rapid AI performance, tailored for your business needs.

GPT-NeoX (by EleutherAI)

Overview: GPT-NeoX is an open-source, large-scale language model developed by EleutherAI. It is part of the GPT architecture and similar to OpenAI’s GPT models but can be fine-tuned and deployed privately without external data sharing.
Key Benefits:

  • Open-source and customizable for specific needs.
  • Can be deployed on-premise, ensuring full data control.
  • Scalable to support large models, e.g., 20B parameters.
    Use Cases: Content generation, automated responses, text summarization, and natural language understanding.

LLaMA (by Meta AI)

Overview: LLaMA is a cutting-edge language model by Meta AI, designed for high-performance NLP tasks. It is more efficient than other models of comparable size, making it ideal for enterprises prioritizing resource efficiency and data privacy.
Key Benefits:

  • Efficient with lower resource consumption than GPT-3.
  • Supports research and private deployments with privacy control.
  • Delivers strong performance across various NLP tasks.
    Use Cases: Customer support automation, helpdesk AI, and knowledge management.

BLOOM (by BigScience)

Overview: BLOOM is a multilingual language model developed through the BigScience collaboration. It supports over 50 languages and is designed for open, collaborative use, offering flexibility for private deployment and enterprise customization.
Key Benefits:

  • Multilingual, ideal for diverse, global environments.
  • Open-source and deployable on private infrastructure.
  • Customizable for specific enterprise data needs.
    Use Cases: Multilingual customer service, cross-language summarization, and global content management.

GPT-J (by EleutherAI)

Overview: GPT-J, another open-source model by EleutherAI, is designed as a smaller alternative to GPT-3. Its 6B-parameter design balances performance with lower resource consumption, making it perfect for enterprises prioritizing private deployment.
Key Benefits:

  • Open-source, allowing private and secure deployment.
  • Lightweight with lower hardware and energy requirements.
  • Strong performance in text generation and question answering.
    Use Cases: Chatbot automation, knowledge base search, and customer interaction processing.