We aim to unlock the full potential of Language Models. While Large Language Models (LLMs) struggle with latency, throughput, and cost, Small Language Models (SLMs) lack AGI capabilities. Our solution? A strategic fusion of both, ensuring optimal performance and making Generative AI real for businesses.
Core Capabilities
Defining Strategy
We assist in clearly defining the goals, use cases, and desired outcomes, ensuring a thorough understanding and alignment with the objectives of utilizing language model systems and a complete visibility into data security and privacy.
Designing Architecture
Building an LM system requires integrating vital components like LLM, SLM, DB, RAG system, and more, each with unique computational and design needs. We employ best practices to ensure the systems are robust, scalable, maintainable, and adaptable.
Train & Evaluate LMs
Our optimization focus revolves around aligning with user intent, broadening language support, improving text quality, controlling tone and persona, safeguarding against potential adversaries and developing systematic evaluation frameworks.
Deploy LM Systems
Our priorities center around three key factors: Queries per second (Throughput) to support a high volume of users, minimizing Seconds per token (Latency) for enhanced user experience, and ensuring Cost-effectiveness.
Mayur, Our own multi-lingual model stack
Our Partners
Meet the Team
Contact
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