Weak-to-strong generalization
We present a new research direction for superalignment, together with promising initial results: can we leverage the generalization properties of deep learning to control strong models with weak supervisors?
We present a new research direction for superalignment, together with promising initial results: can we leverage the generalization properties of deep learning to control strong models with weak supervisors?
Powered by superai.com In the News AI : the Biggest Tech Investing Theme for 2024 It may have been a breakout year for generative AI in 2023. But in 2024, the technology is likely to reach untold heights and to affect nearly all areas of the investing world, according to technology experts. investopedia.com Sponsor Where…
Researchers are pushing what machines can comprehend and replicate regarding human cognitive processes. A groundbreaking study unveils an approach to peering into the minds of Large Language Models (LLMs), particularly focusing on GPT-4’s understanding of color. This research signifies a shift from traditional neural network analysis towards methodologies inspired by cognitive psychology, offering fresh insights…
Powered by metronome.com Welcome Interested in sponsorship opportunities? Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News How the U.S. Public and AI Experts View AI The public and experts are far apart in their enthusiasm and predictions for AI. But they share similar views in wanting…
As Large Language Models (LLMs) gain prominence in high-stakes applications, understanding their decision-making processes becomes crucial to mitigate potential risks. The inherent opacity of these models has fueled interpretability research, leveraging the unique advantages of artificial neural networks—being observable and deterministic—for empirical scrutiny. A comprehensive understanding of these models not only enhances our knowledge but…
Tensoic has recently introduced Kannada Llama (Kan-LLaMA) to address the limitations of language models (LLMs), focusing specifically on proprietary characteristics, computational resources, and barriers to broader research community contributions. Emphasize the importance of open models using mouth to facilitate innovation in natural language processing (NLP) and machine translation with emphasis. Despite the success of models…
Subcellular protein localization is key to unlocking the intricate details of cellular function, particularly within the complex milieu of tumor microenvironments. While providing a broad view, traditional proteomics methods often miss the nuanced, sub-cellular information crucial for a complete understanding. Researchers have noted that current techniques, such as immunofluorescence, tend to aggregate protein expressions within…