Together with the Impact Hub, we have created an event series in which we discuss DeepTech topics in depth. On Tuesday, June 27, the event on “Large Language Models and ChatGPT” took place. This is a brief review of it.
Engin Arslan, a software developer and entrepreneur, presented his insights and experiences while working with chat-based Large Language Models (LLMs) like ChatGPT API. During his presentation, Arslan emphasized the limitations of the chat-based user experience of LLMs, such as linearity and redundancies, and introduced alternative approach he implemented with Heuristi.ca.
Heuristi.ca is a platform that utilizes a node-based interface to visualize and work with information. Instead of relying on a chat-based interaction, users can display and compare information in a more intuitive and interactive manner. The node-based interface allows for the exploration of various topics in a non-linear way.
Arslan demonstrated the functionality of Heuristi.ca, showcasing how users can utilize pre-defined buttons to dive deeper into specific topics. This eliminates the need for constant prompting and enables a more efficient exploration of information.
To support the functionality of Heuristi.ca, Arslan mentioned some of the technologies he leveraged such as Supabase and Next.js. These components provide the necessary data and tools for the platform to operate effectively. Arslan discussed the infrastructure, architecture, and integration of these databases and programs to provide a comprehensive understanding of the technology behind Heuristi.ca.
After the demonstration, the audience engaged in a discussion and provided their inputs. This exchange allowed for a deeper exploration of the potential use cases, improvements, and challenges related to Heuristi.ca and similar approaches.
The event series by Impact Hub Zurich and the Division for Business and Economic Development aims to foster discussions on DeepTech topics, bringing together experts and enthusiasts to explore and understand the advancements in technology and their impact on various industries and society.
** This text was generated by ChatGPT based on the presentation of Engin Arslan and edited by the Innovation Zurich team.
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