Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a meteoric rise in people using and researching Large Language Models (LLMs), particularly...
The introduction of incredible Large Language Models (LLMs) has been nothing short of groundbreaking in the field of Artificial Intelligence. The way humans engage with technology has changed as a result of these complex algorithms, which...
In today's world, Artificial Intelligence (AI) systems pose numerous challenges, such as ineffective or unsafe patient care, biases in hiring procedures, undermining people's privacy,...
Using only an off-the-shelf transformer trained on 680,000 hours of weakly-supervised, multi-lingual audio data, OpenAI’s Whisper can approach human-level robustness and accuracy in ASR,...
A governance paradigm called "responsible AI" describes how a particular organization handles the ethical and legal issues around artificial intelligence (AI). Liable AI projects...
AI leads the world, but it also has some limitations, including fairness, privacy risks, energy consumption, security flaws, transparency, etc. A solution to these...
Artificially Intelligent models, particularly those based on deep neural networks, have been viewed as black-box models since the rise of machine learning. This is...
For a long time, scientists have been concerned about the ever-increasing carbon footprint. The World Meteorological Organization recently stated that the global temperature has...
This Article is written as a summay by Marktechpost Staff based on the paper 'A federated graph neural network framework for privacy-preserving personalization'. All...
This Article is written as a summay by Marktechpost Staff based on the paper 'Joint Recommendation for Language Model Deployment'. All Credit For This...
Machine learning works by sifting through databases and assigning various prediction weights to data features, such as an online shopper's age, location, previous purchase...
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