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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IBM AI Research Introduces Unitxt: An Innovative Library For Customizable Textual Data Preparation And Evaluation Tailored To Generative Language Models
Though it has always played an essential part in natural language processing, textual data processing now sees new uses in the field. This is especially true when it comes to LLMs’ function as generic interfaces; these interfaces take examples and general system instructions, tasks, and other specifications expressed in natural language. As a result, there…
This AI Paper from the University of Washington, CMU, and Allen Institute for AI Unveils FAVA: The Next Leap in Detecting and Editing Hallucinations in Language Models
Large Language Models (LLMs), which are the latest and most incredible developments in the field of Artificial Intelligence (AI), have gained massive popularity. Due to their human-imitating skills of answering questions like humans, completing codes, summarizing long textual paragraphs, etc, these models have utilized the potential of Natural Language Processing (NLP) and Natural Language Generation…
This AI Paper Unveils the Future of MultiModal Large Language Models (MM-LLMs) – Understanding Their Evolution, Capabilities, and Impact on AI Research
Recent developments in Multi-Modal (MM) pre-training have helped enhance the capacity of Machine Learning (ML) models to handle and comprehend a variety of data types, including text, pictures, audio, and video. The integration of Large Language Models (LLMs) with multimodal data processing has led to the creation of sophisticated MM-LLMs (MultiModal Large Language Models). In…
This AI Paper Proposes Two Types of Convolution, Pixel Difference Convolution (PDC) and Binary Pixel Difference Convolution (Bi-PDC), to Enhance the Representation Capacity of Convolutional Neural Network CNNs
Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. These include object identification, object recognition, image segmentation, and edge detection. The ever-growing size and power consumption of DNNs have been key to enabling much of this advancement. Embedded, wearable, and Internet of Things (IoT) devices, which have restricted computing resources…
Meet Dify.AI: An LLM Application Development Platform that Integrates BaaS and LLMOps
In the world of advanced AI, a common challenge developers face is the security and privacy of data, especially when using external services. Many businesses and individuals have strict rules about where their sensitive information can be stored and processed. The existing solutions often involve sending data to external servers, raising concerns about compliance with…
AI News Weekly – Issue #364: The top 12 AI people – Dec 21st 2023
ByWeb Dev
Introducing Horizons … Artificial Intelligence Weekly Powered by superai.com In the News The top 12 people in AI policy, ethics, and research AI presents an ethical minefield that’s pushed researchers, tech companies, and policymakers into opposing camps. businessinsider.com Sponsor Where AI meets the world: SuperAI | 5-6 June 2024, Singapore Join Edward Snowden, Benedict Evans,…
