MELLE: A Novel Continuous-Valued Tokens-based Language Modeling Approach for Text-to-Speech Synthesis (TTS)

Advancements in ML and AI require enterprises to continuously adapt, focusing on robust MLOps for effective governance and agility. Capital One emphasizes the importance of standardized tools, inter-team communication, business-aligned tool development, collaborative expertise, and a…

Runway’s Gen-2 is a groundbreaking video editing tool that simplifies the video generation process. It introduces the Motion Brush function, which allows users to manipulate the movement of generated content using simple hand gestures. This eliminates…

Understanding Generative AI Models Generative artificial intelligence (AI) models create realistic and high-quality data like images, audio, and video. They learn from large datasets to produce synthetic content that closely resembles original samples. One popular type…

Foundational models are critical in ML, particularly in tasks like Monocular Depth Estimation. Researchers from The University of Hong Kong, TikTok, Zhejiang Lab, and Zhejiang University developed a foundational model, “Depth Anything,” improving depth estimation using…

Waabi announced the use of its generative AI model, Copilot4D, trained on lidar sensor data to predict vehicle movements for autonomous driving. Waabi aims to deploy an advanced version for testing its autonomous trucks. Its approach,…

The “Conversation not found” error in ChatGPT may occur due to glitches, weak internet, or server overload. Complex questions or long chats can also trigger this issue. Solutions include clearing browser cookies, checking internet connection, refreshing…

Researchers from The Wharton School explored methods to enhance GPT-4’s creativity in idea generation. Experimenting with various prompting strategies, they found that longer prompts and Chain of Thought (CoT) instructions resulted in more diverse ideas. While…

Understanding the Target Audience for Sakana AI’s Text-to-LoRA The target audience for Sakana AI’s Text-to-LoRA primarily includes AI researchers, data scientists, product managers, and business leaders. These professionals are engaged in the implementation and optimization of…

Fortuna is an open-source uncertainty quantification library that aims to simplify the application of advanced uncertainty quantification methods in regression and classification tasks. It offers calibration techniques, such as conformal prediction, to produce reliable uncertainty estimates…

Facebook’s introduction of the News Feed in 2006 revolutionized the platform, providing users with a constantly updating stream of posts and status changes. Despite user complaints, engagement doubled. The company then implemented an algorithm called EdgeRank…

Understanding Intuitive Physics in AI Humans naturally understand how objects behave, such as not expecting sudden changes in their position or shape. This understanding is seen even in infants and animals, supporting the idea that humans…

Understanding the Challenges in Mathematical Reasoning for AI Mathematical reasoning has been a tough hurdle for Large Language Models (LLMs). Mistakes in reasoning steps can lead to inaccurate final results, which is especially crucial in fields…

Training large language models (LLMs) in natural language processing (NLP) is widely popular. Yet, the need for flexible and scalable vision models remains. An EPFL and Apple team introduces 4M, a multimodal masked modeling approach. It…

An AI chatbot called Limbic Access has effectively increased patient referrals for mental-health services in England’s NHS, particularly among underrepresented groups. A study in Nature Medicine found that referrals rose by 15% when the chatbot was…

Practical Solutions for Personalized Language Generation Personalization with Efficient Language Models Traditional methods require extensive fine-tuning for each user, but a more practical approach integrates the user’s holistic style into language models without extensive retraining. Introducing…