Pediatric Moonshot: Global, real-time, privacy-preserving applications for children’s medicine
Artificial Intelligence applications hold the key to reducing healthcare inequity locally and globally. While centralized architectures have been key to advances in consumer AI, they
Unlock the Power of Embeddings with Vector Search
The total amount of digital data generated worldwide is increasing at a rapid rate. Simultaneously, approximately 80% (and growing) of this newly generated data is
Large Language Models for Real-World Applications
Machine language understanding and generation has been undergoing rapid improvements due to recent breakthroughs in machine learning (e.g. large language models like GPT and BERT).
Delighting South Asian Fashion Customers: Using AI for Personalization, Product Design and Tagging
In this talk, Arif Iqbal, the CEO of LAAM, will discuss how his company is utilizing AI to enhance the fashion consumer experience for millions of users
Deep Learning with KNIME: Building Keras Applications
Typically, when we think of deep learning applications we think of complex coding in languages like Python where packages such as Tensorflow and Keras can
Distributed System Design for Data Engineering
This talk will provide an overview of distributed system design principles and their applications in data engineering. We will discuss the challenges and considerations that
Building and Deploying a Semantic Search Engine on Hugging Face
Unlock the power of semantic search with this hands-on tutorial. Learn how to build a semantic search engine from scratch and deploy it as an
Building Enterprise-Grade Q&A Chatbots with Azure OpenAI’s Advanced Capabilities
As businesses increasingly turn to chatbots to automate customer support services, Azure OpenAI emerges as a highly advanced and customizable platform that provides robust natural
Reproducible Data Science Workflows Using Docker
Want to eliminate the hassle of inconsistent programming environments and achieve reproducible data science? Attend our presentation on how Docker can help you achieve that
Introduction to Python for Data Science
This lecture introduces the tools and libraries used in Python for data science and engineering. It covers basic concepts such as data processing, feature engineering,