We are developing innovative algorithms that facilitate seamless transfer learning of LLMs across various verticals. By addressing challenges such as the mitigation of catastrophic forgetting phenomena, we aim to unlock the full potential of transfer learning in LLMs.

Ensuring the safe and reliable deployment of enterprise-grade LLMs is paramount to our customers. We are actively developing diverse guardrails and solutions that enhance the trustworthiness of these models, enabling their effective integration into real-world applications.

We are focusing on optimizing ML architectures to improve efficiency and reduce inference computing and memory costs. By streamlining the computational process and understanding the nature of the learned representations, we aim to enhance the scalability and practicality of generative AI solutions. At Tenyx, we are committed to pushing the boundaries of generative AI research, driving innovation, and paving the way for the next generation of intelligent systems.