Keras, a popular machine learning tool known for its high-level abstractions and user-friendliness, faces challenges surrounding the cost of training large models, the complexity of preprocessing and metrics, and improving training performance. In response to these challenges, researchers from the Keras Team at Google have introduced KerasCV and KerasNLP. These extensions of the Keras API…
The evolution of machine learning algorithms has led to speculations about job displacement, with AI demonstrating capabilities that outperform human expertise in some arenas. Nevertheless, claims have been made that humans would remain vital, especially in tasks requiring fewer examples to learn from, like identifying rare diseases in diagnostic radiology or managing unusual scenarios for…
Artificial Intelligence (AI) is increasingly being used in legal research and document drafting, aimed at improving efficiency and accuracy. However, concerns regarding the reliability of these tools persist, especially given the potential for the creation of false or misleading information, referred to as "hallucinations". This issue is of particular concern given the high-stakes nature of…
Language and Large Model (LLM) research has shifted focus to steerability and persona congruity with complexities, challenging previous research simply based on one-dimensional personas or multiple-choice formats. A persona's intricacy and its potential to multiply biases in LLM simulations when there's lack of alignment with typical demographic views is now recognized.
A recent research by…
