LLM embeddings
LLM embeddings are playing a transformative role in the landscape of natural language processing (NLP) by providing structured representations of textual data. As we continue to interact with advanced...
Hyperparameter optimization
Hyperparameter optimization (HPO) is a critical aspect of machine learning that can greatly influence the success of AI models. By finely tuning the hyperparameters—specific configurations defining ...
LLM evaluation
LLM evaluation has emerged as a crucial area of research within artificial intelligence, focusing on how effectively large language models perform tasks, and addressing their societal impact. As organ...
Generalist language models
Generalist language models (GLMs) are reshaping the landscape of artificial intelligence by offering flexible, multi-functional capabilities. Unlike specialized models that excel in narrow tasks, GLMs...
Model selection in machine learning
Model selection in machine learning is a pivotal aspect that shapes the trajectory of AI projects. A well-chosen model not only leverages the strengths of data but also significantly enhances predicti...
