After months of negotiations, EU lawmakers have reached a deal on the groundbreaking AI Act, introducing strict rules on transparency and ethics for tech companies, creating enforcement mechanisms, and setting up fines for noncompliance. The Act covers regulations on powerful AI models, governance mechanisms, fines for noncompliance, and bans on certain AI uses.

This blog post outlines the capabilities of diffusion models for generating custom data by using additional conditioning. It introduces methods such as Stable Diffusion Inpainting, ControlNet, and GLIGEN, and highlights how fine-tuning with the Low-Rank Optimization technique, or LoRA, can efficiently adapt these methods to specific use cases. The article emphasizes the benefits of enhancing…

The Anticipatory Music Transformer, developed by Stanford scholars, empowers composers with unique control over generative AI music composition. Differentiating itself from other tools, it focuses on symbolic music and incorporates users’ preferences. Integrated with the GPT architecture, it offers more interactive and controllable outputs. Anticipated to revolutionize music composition, it aims to make music creation…

The introduction of Large Language Models (LLMs) has brought attention to Natural Language Processing, Natural Language Generation, and Computer Vision. Researchers from Tsinghua University and Microsoft Research Asia introduced Bridge-TTS, an alternative to noisy prior models, achieving better TTS synthesis than Grad-TTS and FastGrad-TTS while demonstrating improved speed and generation quality. Find out more at…

Audiobox is a new AI model developed by Meta-researchers. It can generate voices and sound effects using voice inputs and natural language text prompts, making it easier to create custom audio for various use cases. It offers unified generation and editing capabilities for speech, sound effects, and soundscapes, revolutionizing the audio creation process.

Reinforcement Learning (RL) maximizes rewards by identifying optimal actions from experiences. It’s applied in fields like autonomous cars and robotics. Existing RL libraries lack features like delayed rewards and secure learning. Meta developed Pearl, addressing these issues, using PyTorch and including policy learning, exploration, safety measures, and efficient data reuse. Pearl outperforms other libraries and…

Meta’s AI image generator “Imagine with Meta AI” has transitioned from a social media feature to a standalone product. Despite its limits with text, the generator delivers high-quality images at 1280×1280 resolution. With a dataset of appealing images, it learns user preferences. However, users should be cautious of copyright concerns and potential legal issues surrounding…

On December 11, 2023, Rakuten announced the launch of its own large language model (LLM) which will enhance internal operations and marketing by 20%. Rakuten also plans to offer this technology to third-party businesses, positioning the firm as a competitor to tech giants like Amazon and Microsoft in the AI space. This move reflects Japan’s…

A Support Vector Machine (SVM) is a versatile supervised learning algorithm used in machine learning for tasks like classification and regression. It creates boundaries between different groups based on their features. SVM includes linear and non-linear models and applies to various fields such as spam email filtering, handwriting recognition, medical diagnosis, and stock market prediction.

Natural Language Processing has recently undergone transformation with the advent of Large Language Models, including GPT series, leading to significant advances in linguistic tasks. Autoregressive pretraining has played a key role in this, fostering a better understanding of language and contributing to computer vision. D-iGPT, developed by Johns Hopkins and UC Santa Cruz researchers, has…