Registered
Prizes
Large Language Models (LLMs) like ChatGPT excel at addressing a wide array of topics. However, LLMs operate within the confines of their training data, which excludes personal or proprietary information such as internal company documents and data published after the model's training period. Consequently, there arises a need for a solution that facilitates conversational interactions with personalized documents, leveraging the capabilities of LLMs.
In this session, we'll present a demonstration of an LLM-powered application designed to seamlessly address inquiries from uploaded datasets. Additionally, we'll delve into the intricate workings of this application and also explain its architecture in detail.
Tanika Gupta
Director of Data Science at Sigmoid
With over 12 years of experience, Tanika spearheads innovative solutions in Generative AI and Machine Learning for the CPG and Financial Services sectors. Her expertise extends beyond algorithms, making her a skilled communicator adept at translating complex concepts into clear explanations. Join us as Tanika shares her wealth of knowledge and experience in this exciting field.
Connect with her on LinkedIn
Aleksandar Lazarevic
Consulting Partner at Sigmoid Analytics
An Award-winning AI/Data Science executive, Aleksandar brings extensive experience in applying AI and data analytics across various industries. From healthcare to banking, his innovative research and leadership have left a lasting impact. Discover insights from his vast experience as he discusses the latest advancements in data analytics and AI technology.
Connect with him on LinkedIn
Please register/login to participate in the contest
Please register to participate in the contest
Please register to participate in the contest