This week, Scarlett Johansson and Sam Altman, President of OpenAI, became a hot topic on social media after Johansson claimed that OpenAI had misappropriated her voice for use on its artificial voice model, GPT-4. The voice option named 'Sky' had been withdrawn from ChatGPT shortly before.
The author of the piece refutes the claim, having interacted…
Recent advancements in neural networks such as Transformers and Convolutional Neural Networks (CNNs) have been instrumental in improving the performance of computer vision in applications like autonomous driving and medical imaging. A major challenge, however, lies in the quadratic complexity of the attention mechanism in transformers, making them inefficient in handling long sequences. This problem…
Safe Reinforcement Learning (Safe RL) is increasingly being seen as a crucial step for the safe deployment of RL across various industries. By focusing on safety concerns, and through the use of various architectures and methods, Safe RL is making great strides in ensuring RL algorithms remain within a predefined safety constraint while optimizing performance.
Key…
CRISPR-based genome editing technologies (GED) have revolutionized gene studies and medical treatments, specifically by enabling precise alterations to DNA. This technique has shown high potential in treating conditions like Sickle Cell Anemia and Thalassemia, and with recent integration with artificial intelligence (AI), the precision, efficiency, and affordability of these technologies have been enhanced.
Specific AI models…
AI development involves creating systems that can perform tasks typically requiring human intelligence, such as language translation, speech recognition, and decision-making. A key challenge in AI is generating models that can accurately comprehend and generate human language effectively. Traditional models often encounter difficulties with context and nuanced language, affecting the quality of communication and interaction.
Common…
A team of researchers from Hugging Face and Sorbonne Université has conducted in-depth studies on vision-language models (VLMs), aiming to better understand the critical factors that impact their performance. These models, capable of processing both images and text, have become popular in a variety of areas, such as information retrieval in scanned documents to code…
Artificial Intelligence (AI) is rapidly advancing, particularly with the creation of large language models (LLMs) with over 70 billion parameters. While these models are crucial for tasks such as translation and content creation, their full potential can only be realized using Reinforcement Learning from Human Feedback (RLHF), a technique that currently faces significant challenges due…
Federated learning is an ML approach that decentralizes the AI training process, offering enhanced privacy and security. This approach keeps data localized on various devices which then compute and share model updates, while a central server collects these updates to enhance the overall model. This differs from traditional AI methods which amass data from multiple…