Browsing: ML News
Fine-tuning large language models (LLMs) enhances task performance and ensures adherence to instructions while modifying behaviors. However, this process incurs significant costs due to high GPU…
The evolution of artificial intelligence through the development of Large Language Models (LLMs) has marked a significant milestone in the quest to mirror human-like abilities in…
Coding-related jobs have led to the rapid advancement of Large Language Models (LLMs), with a focus on code editing. LLMs created specifically for coding jobs are…
The evaluation of jailbreaking attacks on LLMs presents challenges like lacking standard evaluation practices, incomparable cost and success rate calculations, and numerous works that are not…
Global feature effects methods, such as Partial Dependence Plots (PDP) and SHAP Dependence Plots, have been commonly used to explain black-box models by showing the average…
In an era when data is as valuable as currency, many industries face the challenge of sharing and augmenting data across various entities without breaching privacy…
The fields of Natural Language Processing (NLP) and Natural Language Generation (NLG) have undergone amazing transformations since the introduction of Large Language Models (LLMs) and multimodal…
Linear attention-based models are gaining attention for their faster processing speed and comparable performance to Softmax transformers. However, large language models (LLMs), due to their large…
The transformer model has emerged as a cornerstone technology in AI, revolutionizing tasks such as language processing and machine translation. These models allocate computational resources uniformly…
King’s College London researchers have highlighted the importance of developing a theoretical understanding of why transformer architectures, such as those used in models like ChatGPT, have…