DeveloperWeek Management 2024 + AI DevSummit 2024 (+ DW Europe/LATAM 2024)

Alex Kahng, Aisera, Technical Director of AI/ML

The advent of Generative AI holds the promise of revolutionizing entire enterprises and sectors. Large Language Models (LLMs) have revolutionized natural language understanding and generation, offering a wide array of opportunities for enterprise applications.

However, the unbridled potential of LLMs presents unique challenges in adapting them for practical use within the enterprise.

This session explores the critical considerations and strategies for grounding LLMs in the enterprise from prompt engineering to fine-tuning, encompassing issues such as data privacy, model fine-tuning, domain adaptation, and ethical AI practices. By addressing these factors, organizations can leverage the potential of LLMs to enhance factuality, and accuracy, ensuring responsibility and security in their integration across business applications, ranging from AI Copilots to building domain-specific LLMs and their downstream tasks. In this session you will also gain valuable insights into the deployment of LLMs in enterprise settings, ultimately enabling companies to capitalize on the transformative capabilities of these cutting-edge language models.