What is the biggest difficulty in programming LM?
Programming Language Models (LM) presents a multifaceted set of challenges, encompassing technical, theoretical, and practical dimensions. The most significant difficulty lies in the complexity of designing, training, and maintaining models that can accurately understand, generate, and manipulate human language. This is rooted not only in the limitations of current machine learning paradigms but also in
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Introduction, What is machine learning
In what ways can biases in machine learning models, such as those found in language generation systems like GPT-2, perpetuate societal prejudices, and what measures can be taken to mitigate these biases?
Biases in machine learning models, particularly in language generation systems like GPT-2, can significantly perpetuate societal prejudices. These biases often stem from the data used to train these models, which can reflect existing societal stereotypes and inequalities. When such biases are embedded in machine learning algorithms, they can manifest in various ways, leading to the
- Published in Artificial Intelligence, EITC/AI/ADL Advanced Deep Learning, Responsible innovation, Responsible innovation and artificial intelligence, Examination review
How are n-grams used in the training process of training an AI model to create poetry?
In the realm of Artificial Intelligence (AI), the training process of training an AI model to create poetry involves various techniques to generate coherent and aesthetically pleasing text. One such technique is the use of n-grams, which play a important role in capturing the contextual relationships between words or characters in a given text corpus.