This text discusses the importance of handling context in dialog understanding tasks and introduces MARRS, a Multimodal Reference Resolution System. MARRS is an on-device framework within a Natural Language Understanding system that manages conversational, visual, and background contexts to improve understanding.

Graph methods can be used to perform inference on tabular datasets in machine learning tasks. By representing tabular data as a graph, new possibilities for prediction and inference can be opened up. The article demonstrates the use of graph methods through examples and highlights the advantages of using graphs in data science.

The text discusses the concept of a target variable in supervised machine learning models. It explains that the target variable is what the model is trying to predict and can be referred to by various names. The text also highlights the importance of accurately defining the target variable and provides examples of how it can…

Online communities across various industries rely on platform owners to provide a safe environment for users. Content moderation is essential, but the increasing volume and complexity of inappropriate content make manual moderation inefficient. Amazon Comprehend offers a solution with its Toxicity Detection API, which automatically detects harmful content in user- or machine-generated text. The API…

Warner Music is collaborating with Edith Piaf’s estate to create a groundbreaking 90-minute animated biopic of the French singer. The project will utilize AI technology to recreate Piaf’s voice. The film, titled “Edith,” will combine animation with archival material and showcase Piaf’s journey and her impact as a symbol of female empowerment. It aims to…

YouTube has introduced various measures and guidelines to address the misuse of AI, particularly in relation to deep fake music. This decision comes in response to pressure from the industry, exemplified by a song featuring AI vocals resembling Drake and the Weeknd. YouTube’s measures include updating the privacy complaint process, requiring disclosure of manipulated or…

This text describes how to create a semantic search application for cloud photos using Python, Pinecone, Hugging Face, and the Open AI CLIP model. The article highlights the limitations of current photo search platforms like Apple Photos and Google Photos and explains how the CLIP model, combined with a vector database like Pinecone, can enable…

Ghostbuster is a new method for detecting AI-generated text. It addresses the problem of large language models, like ChatGPT, being used for ghostwriting assignments and producing text with factual errors. Ghostbuster works by finding the probability of generating each token in a document under several weaker language models. It doesn’t need to know the specific…

The article discusses Self-RAG, a method that improves upon the standard Retrieval Augmented Generation (RAG) architecture. Self-RAG uses fine-tuned language models to determine the relevance of a context and generates special tokens accordingly. It outperforms other models in various tasks and does not change the underlying language model. However, there is room for improvement in…

The text discusses the similarities between time series and natural language processing (NLP) in the context of deep learning for sequential data. Both time series and text data have a sequential structure and exhibit long-range dependencies. The text explores different tasks for analyzing sequential data, such as time series forecasting and text generation. It also…