Unifying Language Understanding and Generation: The Revolutionary Impact of Generative Representational Instruction Tuning (GRIT)

The quest for a model that seamlessly navigates language tasks’ generative and embedding dimensions has been a formidable challenge. Language models have been tailored to specialize in generating coherent and contextually relevant text or translating text into numerical representations, known as embeddings, that capture the essence of the language for various computational tasks. This dichotomy […]

The post Unifying Language Understanding and Generation: The Revolutionary Impact of Generative Representational Instruction Tuning (GRIT) appeared first on MarkTechPost.

ai shorts applications artificial intelligence challenge dimensions editors pick embedding embeddings generative grit impact language language model language models language understanding large language model numerical quest staff tasks tech news technology text understanding