Building a Chatbot with Unify - Webinar 01
Learn to build an interactive ChatBot using Unify, exploring Synchronous and Asynchronous clients and integrating with various LLMs for dynamic AI conversations.
Unify and Baseten - Boosting LLM Deployment
Supercharge LLM deployment by integrating Baseten model endpoints into Unify Platform. Learn dynamic routing, open-source model usage, and practical demonstrations for optimized AI workflows.
Influential Data Retrieval Explained
Explore RapidIn, a scalable framework for estimating training data influence in large language models. Learn about token-wise retrieval and its two-stage approach.
Efficient Multi-Prompt Evaluation Explained
Explore PromptEval, a novel method for estimating LLM performance across multiple prompts, enhancing evaluation accuracy within practical budgets. Gain insights from University of Michigan researcher Felipe Polo.
Ethics of AI in Healthcare Informatics - Grand Rounds Lecture
Explore ethical considerations of AI in healthcare with Dr. Michael Abramoff, covering FDA approval, bias, health equity, and policy implications for medical practice.
Machine Learning in Congenital Heart Disease - From Information to Intelligence
Explore machine learning applications in congenital heart disease, transforming cardiac imaging data into intelligent diagnostic and treatment tools.
Deep Learning in NLP and Beyond - 2015
Explore advanced machine learning in NLP, focusing on recurrent neural networks and deep learning. Gain insights into future research directions for developing language-understanding machines.
Combining AI and Crowd for Professional-Quality Translation at Scale
Explore how Unbabel combines AI and crowdsourcing to deliver fast, high-quality translations at scale, breaking down language barriers between companies and customers.
The Ins and Outs of Preposition Semantics - 2017
Explore preposition semantics, their crucial role in linking meaning, and challenges in comprehensive annotation and cross-linguistic analysis. Gain insights into ongoing research and corpus development.
Learning Constraint-Based Grammars from Representative Data - 2008
Explore constraint-based grammars for natural language processing, integrating syntax, semantics, and learning. Discover a new grammar formalism for deep language understanding and its applications in knowledge acquisition.
Zipf's Law Suggests a Three-Pronged Approach to Inclusive Speech Recognition
Explore Zipf's law in speech recognition, from frequent words to OOV challenges. Discover how power-law distributions impact language technologies and inclusive ASR development for diverse communities.
Towards Fast Autonomous Learners: Advances in Reinforcement Learning - 2015
Explore reinforcement learning for AI agents interacting with humans, focusing on sample efficiency and transfer learning to improve educational tools and decision-making systems.
Low-resource Morphological Generation with Neural Sequence-to-Sequence Models
Explore neural sequence-to-sequence approaches for morphological generation in low-resource languages, including multi-task learning, cross-lingual transfer, and semi-supervised techniques.
Target-Speaker Methods for Speech Recognition - Overlapping Speech Solutions
Explore advanced techniques for multi-talker ASR, including GPU-accelerated processing, wake-word leveraging, and self-supervised models to improve speech recognition in challenging environments.
Motion Magnification and Motion Denoising
Explore motion magnification and denoising techniques for video analysis and manipulation, including separating components and amplifying small movements in real-time applications.
Speech Synthesis and Voice Conversion: Machine Learning Can Mimic Anyone's Voice
Explore cutting-edge voice conversion techniques, their potential, and limitations. Learn about speech synthesis advancements and resources for expressive voice conversion research.
Towards Large-Scale Natural Language Inference with Distributional Semantics
Explore natural language inference using distributional semantics, covering summarization, semantic models, and knowledge induction for advanced text analysis.
OUCH: Investigating Limitations of Hidden Markov Models in Speech Recognition
Explore speech recognition challenges, focusing on Hidden Markov Model limitations. Examine frame-to-frame independence assumptions and their implications for improving recognition accuracy.
Generative Agents: Interactive Simulacra of Human Behavior
Explore interactive simulations of human behavior using generative agents in a virtual village. Learn about memory streams, reflections, and planning for creating believable AI characters.
Building Helpful Language Models - Challenges and Solutions
Explore challenges and solutions in aligning language models, including self-instruction, source tracing, and web interaction. Gain insights into building robust, transparent AI systems for practical applications.
Automatic Detection and Monitoring of Parkinson's Disease from Language and Speech
Explore cutting-edge techniques for detecting and monitoring Parkinson's disease through speech and language analysis, presented by PhD student Anna Favaro from Johns Hopkins University.