Partnership with Axel Springer to deepen beneficial use of AI in journalism
Axel Springer is the first publishing house globally to partner with us on a deeper integration of journalism in AI technologies.
Axel Springer is the first publishing house globally to partner with us on a deeper integration of journalism in AI technologies.
Powered by superai.com In the News 20 Best AI Chatbots in 2024 Generative AI chatbots are a major step forward in conversational AI. These chatbots are powered by large language models (LLMs) that can generate human-quality text, translate languages, write creative content, and provide informative answers to your questions. eweek.com Sponsor Where AI meets the…
Understanding the Theory of Mind (ToM), the ability to grasp the thoughts and intentions of others, is crucial for developing machines with human-like social intelligence. Recent advancements in machine learning, especially with large language models, show some capability in ToM understanding. However, current ToM benchmarks primarily rely on either video or text datasets, neglecting the…
In the News The power shift inside OpenAI OpenAI’s new CEO of Applications frees up Sam Altman to focus on GPUs, brain-computer interfaces, and consumer hardware. theverge.com In The News Is Google’s Reveal of Gemini’s Impact Progress or Greenwashing? Google has released a technical paper detailing the energy, water and carbon footprint their Gemini models….
Synthesizers, electronic instruments producing diverse sounds, are integral to music genres. Traditional sound design involves intricate parameter adjustments, demanding expertise. Neural networks aid by replicating input sounds, initially optimizing synthesizer parameters. Recent advances focus on optimizing sound directly for high-fidelity reproduction, requiring unsupervised learning for out-of-domain sounds. Differentiable synthesizers enable automatic differentiation crucial for backpropagation,…
The inherent capabilities of pretrained large language models are notable, yet achieving desired behaviors often requires additional adaptation. When dealing with models whose weights are kept private, the challenge intensifies, rendering tuning either excessively costly or outright impossible. As a result, striking the right balance between customization and resource efficiency remains a persistent concern in…
With the advancements in Natural Language Processing and Natural Language Generation, Large Language Models (LLMs) are being frequently used in real-world applications. With their ability to mimic human behavior, these models, with their general-purpose nature, have stepped into every field and domain. Though these models have gained significant attention, these models represent a constrained and…