In the rapidly evolving landscape of generative AI and particularly large language models (LLMs), organizations are poised to create groundbreaking applications. However, the lack of oversight, governance, and centralization often stymies the deployment of LLM-based applications. For organizations eager to harness the full potential of LLMs, overcoming these hurdles is essential--not only for operational success but also to stay ahead in a competitive market. This tech guide introduces the LLM Mesh, an architecture paradigm that ensures modular development, centralized administration, and auditing of LLM applications.
Description:
In the rapidly evolving landscape of generative AI and particularly large language models (LLMs), organizations are poised to create groundbreaking applications. However, the lack of oversight, governance, and centralization often stymies the deployment of LLM-based applications. For organizations eager to harness the full potential of LLMs, overcoming these hurdles is essential--not only for operational success but also to stay ahead in a competitive market. This tech guide introduces the LLM Mesh, an architecture paradigm that ensures modular development, centralized administration, and auditing of LLM applications.