Combining Behavioral Research and NLP to Combat Gender Biases
Discover how AI and behavioral research combine to identify and reduce gender biases, exploring MLOps practices, user interaction learning cycles, and responsible AI deployment on Kubernetes.
Deep Learning for Global Climate Monitoring and Predictions
Explore advanced deep learning techniques for climate prediction, including few-shot learning and data assimilation, to enhance accuracy in global climate monitoring and forecasting.
Modeling Individuals Without Data via Secondary Task Transfer Learning
Discover a novel transfer learning method for modeling individual behavior using limited data from secondary tasks, outperforming standard approaches in financial health and game design.
Tuning Foundation Models: A Comprehensive Guide
Explore techniques for customizing foundation models with your data, improving performance across tasks while understanding limitations and future prospects.
ML and MLOps with Databricks: LLMs and HuggingFace Transformers
Explore LLMs using HuggingFace Transformers for summarization, translation, sentiment analysis, and advanced prompting techniques on Databricks.
RAG for Code Generation - AI Hacker Cup Example
Explore advanced LLM-powered competitive programming using RAG for code generation. Learn to design robust architectures, implement AST-based similarity search, and enhance few-shot learning for AI agents.
Empowering Security Teams with Generative AI: Fundamentals and Applications of GPT Models
Explore how GPT models can enhance security research through few-shot learning, code generation, and retrieval augmentation. Gain insights and practical examples to leverage AI in empowering security teams.
Efficient Fine-tuning and Prompt Engineering - Lecture 20
Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.
Prompt Engineering Simplified - A Guide to Best Practices and Advanced Techniques
Master essential prompt engineering concepts, from basic principles to advanced techniques, including system messages, model-specific approaches, and meta prompting strategies.
Enhancing Custom IDEs with AI: Strategies, Use Cases, and Pitfalls - OCX 2024
Discover strategies for integrating AI into custom IDEs, from selecting use cases and models to implementing natural language workflows and context-aware features for enhanced development productivity.