CAI LLM Suite

Large language models drive growth by enhancing understanding and generation, requiring fine-tuning for tasks and orchestrating seamless operations and management.

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Fine-Tuning Notebooks
Accelerating Language Model Adaptation

Pre-Built Fine-Tuned Notebooks

Accelerate the process of adapting language models for specific tasks. These resources offer ready-to-use frameworks, enabling users to efficiently fine-tune models for their use cases.

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Revolutionize Your AI
Workflows with
Advanced LLM Orchestration

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Maximizing Efficiency and Innovation in LLM

Discover how our cutting-edge LLM Orchestration module streamlines complex AI workflows, empowering your team to focus on innovation while ensuring optimal performance and scalability. Unlock the full potential of your AI initiatives with confidence and ease.

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Maximizing Performance with
LLMOps

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Streamlined Operations for LLMs

Empower your organization with LLMOps, the cornerstone of efficient large language model deployment and management. From deployment to monitoring, LLMOps ensures optimal performance, scalability, and reliability, driving success in AI-driven initiatives.

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LLMs Support

LLMOps module offers auto guardrails ensuring output meets criteria, a chain of verification for fact-checking, and seamless integration with third-party tools with minimal hallucination.

Chain of Verification

Chain of Verification

  • Reduce Hallucinations with ensemble multiple models with the LLMs to productionize the use cases. Use a chain of verification to fact-check the entire response.
  • Given the discovered inconsistencies (if any), generate a revised response incorporating the verification results.
  • • Generate Baseline Responses
  • • Plan Verifications
  • • Execute Verifications
  • • Generate Final Verified Response
Auto Guardrails

Auto Guardrails

  • A tool for structuring, validating, and ensuring output complies with specified criteria, including format, moderation, and custom validation.
  • This is done through chains built for known tasks such as information extraction, summarisation, translation etc.
  • Each chain experiment's history is saved as an experiment run.
    Connection with Third Party Tooling

    Connection with Third Party Tooling

    • Support to run LLM chains on any hosted LLM model such as Llama, GPT and more.
    • Also, integration of third-party utilities such as ChromaDB and Langchain, allows you to utilise the best tools currently available for working with LLMs.

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