Fast and accurate zero-shot forecasting with Chronos-Bolt and AutoGluon
Chronos-Bolt is the newest addition to AutoGluon-TimeSeries, delivering accurate zero-shot forecasting up to 250 times faster than the original Chronos ...
Tag: zeroshot
Researchers at John Hopkins and Samaya AI propose a Promptriever: a zero-shot retriever trained from a new instruction-based recovery dataset
Information retrieval (IR) models face significant challenges in delivering transparent and intuitive search experiences. Current methodologies rely primarily on a ...
Use zero-shot large language models on Amazon Bedrock for custom named entity recognition
Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually ...
University of Wisconsin-Madison ROBOSHOT Improves Robustness of Zero-Shot Learning: A New Machine Learning Approach to Bias Mitigation
Zero-shot learning is an advanced machine learning technique that allows models to make predictions about tasks without being explicitly trained ...
Understanding system cues and the power of zero-shot vs. low-shot cues in artificial intelligence (AI)
Within the field of artificial intelligence (ai), system prompts and the notions of zero-shot and few-shot prompts have completely changed ...
Hierarchical and dynamic warning compression for efficient use of the Zero-shot API
Long indications present a significant challenge for practical LLM-based systems that need to operate with low latency and limited resources. ...
VoiceCraft: A transformer-based Neural Codec Language Model (NCLM) that achieves cutting-edge performance in speech editing and zero-shot TTS
When textless natural language processing (NLP) initially emerged, the main concept involved training a language model on sequences of discrete ...
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models
While automatic speech recognition (ASR) systems are widely used in many real-world applications, they often do not generalize well to ...
Revolutionizing task-oriented dialogs: How FnCTOD improves zero-shot dialog state tracking with large language models
The seamless integration of large language models (LLMs) into conversational systems has transformed the way machines understand and generate human ...
MusicMagus: Leveraging Diffusion Models for Zero-Shot Text-to-Music Editing
Music generation has long been a fascinating domain, combining creativity with technology to produce compositions that resonate with human emotions. ...
Recommended.
