Subject archive for "enterprise-mlops"

AI integration brings many IT challenges. A BARC report offers the insights you need.

Domino's new AI Gateway enables secure, governed, and seamless access to external Large Language Models (LLMs) for building Generative AI applications responsibly and cost-effectively,

Explore the Generative AI enterprise integration challenges, the nuances of LLMOps, and how Domino's platform aids in responsible AI deployment.

This blog post explores the challenges of fine-tuning large language models (LLMs) and introduces resource-optimized and parameter-efficient techniques such as quantization, LoRA, and Zero Redundancy Optimization (ZeRO). By fine-tuning Falcon-7b, Falcon-40b, and GPTJ-6b, we demonstrate how these techniques offer improved performance, cost-effectiveness, and resource optimization in LLM fine-tuning. The blog post also discusses the future of fine-tuning and its potential for unlocking new possibilities in enterprise AI applications.

Today Domino announced a revolutionary new capability that enables data science leaders to expand their talent pool, promote a culture of analytics around the enterprise, increase collaboration across teams, and ultimately deliver more value to the business.

Last week Domino celebrated data science innovators driving breakthroughs in health and life sciences. This week we announce a new slate of innovators in the Financial Services and Insurance edition of the Data Science Innovator’s Playbook, available now as a free download. As before, each of its top data science innovation leaders in the financial services and insurance industries share insights on their work, careers, and the data science profession. The playbook includes seven profiles, the first being of Dr. Tiffany Perkins-Munn.