Superalignment Fast Grants
We’re launching $10M in grants to support technical research towards the alignment and safety of superhuman AI systems, including weak-to-strong generalization, interpretability, scalable oversight, and more.
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This Machine Learning Paper from DeepMind Presents a Thorough Examination of Asynchronous Local-SGD in Language Modeling
Language modeling, a critical component of natural language processing, involves the development of models to process and generate human language. This field has seen transformative advancements with the advent of large language models (LLMs). The primary challenge lies in efficiently optimizing these models. Distributed training with multiple devices faces communication latency hurdles, especially when varying…
This AI Paper from UCLA Revolutionizes Uncertainty Quantification in Deep Neural Networks Using Cycle Consistency
With the growth of Deep learning, it is used in many fields, including data mining and natural language processing. It is also widely used in solving inverse imaging problems, such as image denoising and super-resolution imaging. The image denoising techniques are used to generate high-quality images from raw data. However, deep neural networks are inaccurate…
This AI Paper Proposes Infini-Gram: A Groundbreaking Approach to Scale and Enhance N-Gram Models Beyond Traditional Limits
Pretrained on trillion-token corpora, large neural language models (LLMs) have achieved remarkable performance strides (Touvron et al., 2023a; Geng & Liu, 2023). However, the scalability benefits of such data for traditional n-gram language models (LMs) still need to be explored. This paper from the University of Washington and Allen Institute for Artificial Intelligence delves into…
This AI Paper from Apple Unveils AlignInstruct: Pioneering Solutions for Unseen Languages and Low-Resource Challenges in Machine Translation
ByWeb Dev
Machine translation, an integral branch of Natural Language Processing, is continually evolving to bridge language gaps across the globe. One persistent challenge is the translation of low-resource languages, which often need more substantial data for training robust models. Traditional translation models, primarily based on large language models (LLMs), perform well with languages abundant in data…
Nomic AI Introduces Nomic Embed: Text Embedding Model with an 8192 Context-Length that Outperforms OpenAI Ada-002 and Text-Embedding-3-Small on both Short and Long Context Tasks
Nomic AI released an embedding model with a multi-stage training pipeline, Nomic Embed, an open-source, auditable, and high-performing text embedding model. It also has an extended context length supporting tasks such as retrieval-augmented-generation (RAG) and semantic search. The existing popular models, including OpenAI’s text-embedding-ada-002, lack openness and auditability. The model addresses the challenge of developing…
AI News Weekly – Issue #368: Bill Gates : how AI will change our lives in 5 years – Jan 18th 2024
ByWeb Dev
Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years. cnn.com Sponsor Where AI meets the world: SuperAI |…
