UCSD and Microsoft Researchers Introduce ColDeco: A Code-Free Inspection Tool for Calculated Columns
In the article "COLDECO: An End-User Spreadsheet Inspection Tool for ai-Generated Code," a team of researchers from UCSD and Microsoft ...
Tag: Researchers
MIT researchers present a new training-free, game-theoretic AI procedure for decoding language models
Some tasks that require the creation or verification of factual statements (such as question answering, fact checking, and even unconditional ...
Guardrails built around AI systems aren’t as resilient, researchers say
Before launching the ai chatbot ChatGPT last year, OpenAI, a San Francisco startup, added digital guardrails meant to prevent its ...
Researchers from the University of Amsterdam and Qualcomm AI present VeRA: a novel AI tuning method that reduces the number of trainable parameters by 10 times compared to LoRA
With the increasing scope of natural language processing applications, there has been a growing demand for models that can effectively ...
KAIST researchers propose SyncDiffusion: a Plug-and-Play module that synchronizes multiple diffusions via gradient descent from perceptual similarity loss
In a recent research paper, a team of KAIST researchers presented SYNCDIFFUSION, an innovative module that aims to improve panoramic ...
UC Berkeley Researchers Propose RingAttention: A Memory-Efficient AI Approach to Reduce Transformer Memory Requirements
One type of deep learning model architecture is called Transformers in the context of many next-generation ai models. They have ...
Microsoft researchers propose DeepSpeed-VisualChat: a leap forward in training scalable multimodal language models
Large language models are sophisticated artificial intelligence systems built to understand and produce human-like language on a large scale. These ...
Researchers from Stanford, NVIDIA, and UT Austin Propose Interepisode Curriculum (CEC): A New AI Algorithm to Boost Learning Efficiency and Generalization of Transformative Agents
Sequential decision-making problems are undergoing a major transition due to the paradigm shift brought about by the introduction of basic ...
Amazon researchers present a deep learning compiler for training that consists of three main features: a synchronization-free optimizer, compiler caching, and multithreaded execution
One of the biggest challenges in Machine Learning has always been to train and use neural networks efficiently. A tipping ...
Princeton Researchers Introduce ShearedLLaMA Models to Accelerate Language Model Pre-Training Using Structured Pruning
Large language models (LLMs) have become extremely popular due to their outstanding capabilities in a variety of natural language tasks. ...
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