Large Language Models (LLM) have quickly become a critical component of today's consumer and enterprise applications. However, the need for ...
This paper was accepted into the Efficient Natural Speech and Language Processing (ENLSP) Workshop at NeurIPS 2024. The pre-training phase ...
In recent years, training large language models has faced a crucial challenge: determining the optimal combination of data. Models like ...
You can find useful datasets on countless platforms—Kaggle, Paperwithcode, GitHub, and more. But what if I tell you there’s a ...
ai has made significant progress in developing large language models (LLMs) that excel at complex tasks such as text generation, ...
In the rapidly evolving field of artificial intelligence, the focus is often on large, complex models that require immense computational ...
Large pre-trained vision and language models, such as CLIP, have shown promising generalization ability, but may struggle in specialized domains ...
This paper was accepted into the Adaptive Foundation Models (AFM) workshop at NeurIPS Workshop 2024. Follow-up conversations with virtual assistants ...
Recent advances in generative language modeling have boosted natural language processing, making it possible to create contextually rich and coherent ...
Apple presents new research in the Empirical methods in natural language processing (EMNLP) conference, which will be held in person ...
