Can Large Language Models (LLMs) be used to label data? | by Maja Pavlovic | Apr, 2024
When working with Large Language Models (LLMs), getting meaningful responses can be a challenge. The question then arises: how can ...
Tag: models
Transforming Multi-Dimensional Data Processing with MambaMixer: A Leap Towards Efficient and Scalable Machine Learning Models
The search for models that can efficiently process multidimensional data, ranging from images to complex time series, has become increasingly ...
Teaching SOLAR to Shine: How Upstage AI’s sDPO Aligns Language Models with Human Values
Have you ever wondered what it would be like to have a super-intelligent AI assistant who not only has vast ...
Revenue Models for AI-Powered Mobile Apps
Mobile artificial intelligence is gaining popularity rapidly. In 2022, the market for AI in mobile development was valued at $13.4 ...
Google AI Introduces AutoBNN: A New Open-Source Machine Learning Framework for Building Sophisticated Time Series Prediction Models
GoogleAI researchers released AutoBNN to address the challenge of effectively modeling time series data for forecasting purposes. Traditional Bayesian approaches ...
Recall to Imagine (R2I): A New Machine Learning Approach that Enhances Long-Term Memory by Incorporating State Space Models into Model-based Reinforcement Learning (MBRL)
With the recent advancements in the field of Machine Learning (ML), Reinforcement Learning (RL), which is one of its branches, ...
Large language models could ‘revolutionise the finance sector within two years’
Research conducted by The Alan Turing Institute suggests that Large Language Models (LLMs) have the potential to enhance efficiency and ...
A Study by Google DeepMind on Evaluating Frontier Machine Learning Models for Dangerous Capabilities
Artificial intelligence (AI) advances have opened the doors to a world of transformative potential and unprecedented capabilities, inspiring awe and ...
Large language models use a surprisingly simple mechanism to retrieve some stored knowledge | MIT News
Large language models, such as those powering popular artificial intelligence chatbots like ChatGPT, are extremely intricate. Despite their widespread use ...
HuggingFace Introduces Quanto: A Python Quantization Toolkit to Reduce the Computational and Memory Costs of Evaluating Deep Learning Models
HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as ...
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