FATE-LLM - Empowering Large Language Models with Federated Learning
Explore FATE-LLM, integrating federated learning with large language models to address data privacy concerns. Learn about its components, implementation on Kubernetes, and real-world applications.
The Future of AI: Dream or Nightmare? - 2023 Christmas Lectures - Lecture 3
Explore AI's future with experts, examining opportunities and challenges as it evolves. Gain insights into potential impacts and developments in this rapidly advancing field.
The Truth About AI: My AI Life - 2023 Christmas Lectures - Lecture 2
Professor Mike Wooldridge explores AI's pervasive role in daily life, revealing its current applications and impact. The lecture offers insights into AI's present capabilities and future potential.
New Advances in Artificial Intelligence and Machine Learning - Lecture 3
Explore cutting-edge AI and ML advancements, including generative models, reinforcement learning, and computer vision. Gain insights into the capabilities and applications of modern machine learning technologies.
Methods for Evaluating Your GenAI Application Quality
Explore comprehensive tools for evaluating GenAI applications, including inference tables, Lakehouse Monitoring, and MLflow. Learn best practices for offline and real-time quality assurance in production environments.
What We Learned from 570K ChatGPT Interaction Logs In The Wild
Explore insights from 570K ChatGPT conversations, revealing diverse user prompts and potential toxic use-cases. Learn about fine-tuning instruction-following models using this rich dataset.
From NLP to NLU: Why We Need Varied, Comprehensive, and Stratified Knowledge - Neuro-Symbolic AI
Explore the importance of knowledge in AI systems for improved language understanding, addressing challenges in generative AI, and enhancing neuro-symbolic approaches for safer, more explainable AI.
Scaling Unlocks Emergent Abilities in Language Models
Explore emergent abilities in large language models, including chain-of-thought prompting and instruction finetuning, and their potential impact on AI capabilities.
Scalable OpenAI GPT Applications in the Cloud
Explore integrating OpenAI GPT models into applications and leveraging cloud services for scalability. Learn implementation methods and strategies for building AI-powered, scalable apps.
Test Time Compute: Verifiers and Parallel Sampling - Part 2
Explore advanced inference techniques using verifiers, parallel sampling, and prompt optimization to enhance language model performance and accuracy.
OpenAI Canvas: Overview and Demo
Explore OpenAI's new Canvas feature for ChatGPT, including an overview and live demonstration of its capabilities and applications.
Implementing GenAI in Banking: A Hands-on Approach
Explore practical GenAI implementation in banking, addressing compliance challenges, streamlining document collection, and enhancing case analysis for improved efficiency and cost-effectiveness.
Exploring ChatGPT for Improved Observability
Explore ChatGPT's potential for enhancing observability in modern platforms. Learn about AI innovations, deep neural networks, and practical applications in IT operations and decision-making.
ChatGPT Examples for Programming, InfoSec, and Fuzzing
Explore ChatGPT's versatility in programming, security, and daily tasks. Learn to create fuzzers, analyze code, find vulnerabilities, and leverage AI for various applications.
How to Use OpenAI ChatGPT with Chrome and MacOS Extensions
Explore ChatGPT extensions for Chrome and macOS, learning installation, chat saving, and sharing features. Discover AI-powered conversations and enhance your browsing experience.
Major ChatGPT Upgrade - Canvas AI Features Hands-On
Explore OpenAI's ChatGPT upgrade featuring the 'Canvas' interface. Discover enhanced UI, seamless collaboration for writing and coding, and productivity-boosting capabilities in this hands-on demonstration.
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs
Explore AutoConcierge, a system combining GPT-3 and answer set programming to create realistic, domain-specific conversational agents that truly understand user utterances.
Leveraging Generative AI and Transformers in Healthcare - Anomaly Detection and Implementation
Explore AI and transformers in healthcare, focusing on anomaly detection, data annotation, and machine learning frameworks. Learn about challenges, implementations, and generative AI applications.
Leveraging ChatGPT and Copilot in Long-Term Projects
Explore AI integration in development projects using ChatGPT and Copilot. Learn prompting techniques, best practices, and ethical considerations for leveraging AI tools effectively.
No Train No Gain - Revisiting Efficient Training Algorithms for Transformer-based Language Models
Delve into efficient training algorithms for Transformer models, exploring dynamic architectures, batch selection, and optimizers while examining their effectiveness against baseline methods.
GPT-3 - Language Models Are Few-Shot Learners
Comprehensive analysis of GPT-3's capabilities, exploring its performance on various NLP tasks and discussing its potential impact on AI research and applications.