BLEURT - Learning Robust Metrics for Text Generation
Explora BLEURT, una métrica de evaluación basada en BERT para generación de texto, su preentrenamiento con datos sintéticos y su capacidad de modelar juicios humanos con pocos ejemplos.
Understanding Text Generation Through Diffusion Models - From Theory to Implementation
Dive into discrete diffusion modeling for text generation, exploring probability distributions, score-based modeling, and practical applications in generative AI that rival GPT-2's capabilities.
Training LLMs with Diffusion Techniques - From Theory to Implementation
Dive into implementing text generation using discrete diffusion modeling, covering implementation details from basic concepts to training scripts for creating GPT-2 competitive models.
Measuring and Improving Retrieval in RAG Systems - Haystack US 2024
Learn techniques to measure and enhance retrieval quality in RAG systems, exploring alternatives to human expert judgments and methods for tuning retrieval to improve generated responses.
Red Teaming Language Model Detectors with Language Models
Explore strategies to compromise LLM detectors using synonym replacement and instructional prompts, revealing vulnerabilities in text detection systems and emphasizing the need for robust safeguards.
Boost Your Android App with Generative AI: Building the Next Generation of Apps
Integrate generative AI capabilities into Android apps for text and image generation, and leverage Gemini Pro's advanced multimodal features for next-gen applications.
Ghostwriter - AI Writing That Learns From You
Explore AI-powered email writing that mimics your style and content. Learn how Ghostwriter learns from your past to create personalized, relevant emails effortlessly.
Foundation Models and Fair Use - Legal and Ethical Implications
Explore legal and ethical implications of training foundation models on copyrighted material. Analyze fair use doctrine, potential risks, and technical mitigations for model development and deployment.
Robust Distortion-free Watermarks for Language Models
Explore robust watermarking techniques for language models, focusing on edit-resistant methods that preserve text distribution. Learn about key-based protocols and their applications.
Introduction to Retrieval Augmented Generation
Explore Retrieval Augmented Generation (RAG), enhancing AI with external knowledge retrieval. Learn its importance, applications, implementation basics, and emerging trends in generative AI systems.
An Integrated Framework for Controllable Text Generation
Explore an integrated framework for controllable text generation, addressing challenges in interpretability, data construction, and evaluation methods for natural language processing applications.
Getting Started with Generative Text and Fine-Tuning LLMs in Hugging Face
Dive into practical LLM implementation using Hugging Face's transformers library, from basic text generation to efficient model fine-tuning techniques for customized applications.
Empowering Responsible Use of Large Language Models
Explore watermarking techniques for text and models to identify AI-generated content and protect LLM intellectual property. Learn theoretical foundations and empirical evidence for responsible AI use.
Retrieval Augmented Generation (RAG) - Tutorial 4
Explore Retrieval Augmented Generation (RAG) techniques to enhance AI models' knowledge and responses using external data sources, improving accuracy and relevance in various applications.
Abstractive Summarization and Text Generation Evaluation
Explore advanced techniques in abstractive summarization and learn effective methods for evaluating text generation outputs in natural language processing.
Exploring Text-to-Shape Display for Generative Shape-Changing Behaviors with LLMs
Explore groundbreaking research on text-to-shape display technology and how large language models enable innovative shape-changing behaviors in user interface development.