Anomaly Detection in Streaming Time Series Data with Online Learning Using Amazon Managed Service for Apache Flink
Time series data is a distinct category that incorporates time as a fundamental element in its structure. In a time ...
Tag: Detection
Piiranha-v1 released: an open source 280M small encoder model for PII detection with 98.27% token detection accuracy, supporting 6 languages and 17 types of PII, released under MIT license
The Internet Integrity Initiative team has taken an important step in data privacy by publishing Piiranha-v1a model specifically designed to ...
Benchmarking Hallucination Detection Methods in RAG | by Hui Wen Goh | Sep, 2024
Evaluating methods to enhance reliability in LLM-generated responses.Unchecked hallucination remains a big problem in today’s Retrieval-Augmented Generation applications. This study ...
Microsoft researchers combine small and large language models for faster, more accurate hallucination detection
Large language models (LLMs) have demonstrated remarkable capabilities in various natural language processing tasks. However, they face a major challenge: ...
Using hugging face transformers for emotion detection in text
Image of juicy_fish on Freepik Hugging Face hosts a variety of transformer-based language models (LMs) specialized in addressing language comprehension ...
RepCNN: Powerful, micro-sized models for wake word detection
Always-on machine learning models require very low memory and compute consumption. Their restricted parameter count limits the model’s ability to ...
Haize Labs introduced Sphynx: a cutting-edge solution for AI-powered hallucination detection with dynamic testing and fuzzing techniques
Haize Labs has recently introduced Sphinxan innovative tool designed to address the persistent challenge of hallucinations in ai models. In ...
Model-based heart rate estimation and phonocardiogram-based heart murmur detection
This article has been accepted at the IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2024 Acoustic signals ...
Patronus AI Releases Lynx v1.1: A Next-Generation 8B RAG Hallucination Detection Model
Patronus ai has released the LYNX v1.1 series, which represents a significant advancement in artificial intelligence, particularly in detecting hallucinations ...
How Deloitte Italy built a digital payments fraud detection solution using quantum machine learning and Amazon Braket
As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine ...
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