Design Smarter, Not Harder: AI-Driven Comparison and Optimization with LLMs and Forma

Location:

Autodesk University Conference

San Diego, CA

Speaker:

Md Shariful (Anik) Alam

Date & Time:

10.17.2024 | 12:00 pm-1:00 pm

The rapid development of large language models (LLMs) is revolutionizing industries driven by information, and the AEC sector is no exception. As a highly information-dependent field, the AEC industry thrives on the smooth exchange of data, which can significantly boost efficiency. However, in the early stages of design, architects and engineers often struggle with limited information, while frequent design iterations make it difficult to keep track of progress. While comprehensive design exploration is valuable, it can sometimes lack the depth needed to surface the best options.

Join Mithun computational designer Md Shariful (Anik) Alam and E-verse CEO Valentin Noves for “Design Smarter, Not Harder: AI-Driven Comparison and Optimization with LLMs and Forma” to unlock the full potential of AI in transforming your design process. This session will explore the use of Large Language Models and the Autodesk Forma extension to compare and evaluate multiple design options efficiently. Attendees will gain insights into analyzing functionality, aesthetics, and environmental factors, illustrated through real-world case studies, to make data-driven design decisions. This session aims to provide practical skills and tools that streamline design workflows, save time, and elevate project outcomes to meet and exceed client expectations.

Anik will represent Mithun’s coLAB, a dynamic space within our practice where emerging technologies and design thinking converge to drive innovation. Since its creation in the late 2000s, it has served as both a central physical place in the office, as well an approach for design thinking, empowering next generation leaders. Within the coLAB, designers of all experience levels and disciplines utilize digital and analog tools to drive new ideas forward, together.

Date Posted: 10.17.2024