Practical Applications of Generative AI: Building a Chatbot for Document Q&A
Explore Retrieval Augmented Generation to build chatbots that answer questions about unseen documents, leveraging the power of Generative AI and Large Language Models.
What is Machine Learning - Lecture 1
Explore machine learning fundamentals with Dr. Kotb in this introductory lecture, focusing on applications in petroleum engineering and energy transition.
How to Make Your First Contribution to a CNCF Project
Learn to contribute to CNCF open source projects. Explore the ecosystem, from containers to AI, and discover various programs designed to support new contributors in making their first open source contribution.
Sustaining Git Performance Under Heavy Workloads - AI-driven Approach
Explore AI-driven strategies for maintaining Git repository performance under heavy workloads, including partial repacking and bitmap regeneration techniques.
Integrating the Gemini API in Android - Android Build Time
Explore integrating Gemini API in Android apps. Learn about chatbot personas, user engagement, and leveraging GenAI features like summarization, multimodal capabilities, and function calling.
OpenAI Model Distillation and Evals Explained
Explore OpenAI's model distillation techniques and evaluation methods for enhanced AI understanding and implementation.
A Guide to Cross-Validation for AI - Avoiding Overfitting and Ensuring Generalizability
Explore cross-validation techniques for AI, including K-fold and nested methods. Learn to avoid overfitting, ensure generalizability, and select optimal approaches for model evaluation.
Lack of Fairness in AI-Based Medical Image Diagnostic Tools
Explore fairness challenges in AI-based medical image diagnostics with Dr. Seyyed-Kalantari. Gain insights on developing responsible AI tools for trustworthy clinical deployment.
Explainable AI Techniques Towards Clinical Adoption in Medical Imaging
Explore XAI techniques for medical imaging, focusing on post-hoc and ad-hoc methods, disease-specific applications, and categorization schemes for clinical adoption.
Operational Research for Fairness, Privacy and Interpretability in Machine Learning
Explore responsible AI through operational research, focusing on fairness, interpretability, and privacy in machine learning. Learn to leverage Integer Linear Programming for optimal, fair rule lists.
The Melting Pot of Neural Algorithmic Reasoning
Explore algorithmic alignment of neural networks with Petar Veličković, covering recent advancements and co-authored works in the field of neural algorithmic reasoning.
Representation-driven Option Discovery in Reinforcement Learning
Explore representation-driven option discovery in reinforcement learning, enhancing temporal abstraction and continual learning for intelligent agents.
Agent-Based Dynamic Models of Opinion Formation: Where Are We Now?
Explore dynamic models of opinion formation, focusing on continuous opinions at the microscopic level. Examine achievements in analysis and new challenges in dynamical systems, control theory, and AI.
Hindsight Learning for MDPs with Exogenous Inputs
Explore data-efficient algorithms for resource management problems using Hindsight Learning in Exo-MDPs, outperforming traditional methods in various applications including cloud resource allocation.
The Complexity of Satisfiable CSPs
Explore the complexity of satisfiable CSPs, examining dichotomy theorems and their connections to Fourier analysis, product testing, and linearity testing in this mathematical lecture.
Hamiltonian Geometry of Fluids
Explore Hamiltonian geometry of fluids, covering Arnold's group-theoretic approach, compressible fluids, optimal mass transport, and Newton's equations on diffeomorphism groups and probability densities.
Functional Neuronal Networks
Explore functional data analysis integration in deep neural networks, enhancing interpretability and prediction for scalar responses with functional and scalar covariates.
AI-Enabled Complex Phenomena in Creative Arts
Explore AI's role in harmonizing complex phenomena with creative arts, including fluid stylization techniques used in Disney-Pixar's "Elemental".
Hard and Easy Constraint Problems - ICBS 2024
Explore the Constraint Satisfaction Problem framework, its connections to various fields, and the resolution of the Feder-Vardi conjecture on efficiently solvable CSPs.
Pangu-Weather: Accurate Medium-Range Global Weather Forecasting with 3D Deep Neural Networks
Explore Pangu-Weather, an AI-based method for accurate medium-range global weather forecasting using 3D deep networks and Earth-specific priors, outperforming traditional numerical prediction systems.
AI-Assisted Automated Chemical Synthesis Planning and Execution
Explore AI-driven chemical synthesis planning integrated with robotic automation, streamlining complex molecule production for drug development and materials science.