Language

Recent advances in large language models (LLMs) like GPT-4,  PaLM have led to transformative capabilities in natural language tasks. LLMs are being incorporated into various applications comparable to chatbots, search engines like google, and...

Text embeddings are vector representations of words, sentences, paragraphs or documents that capture their semantic meaning. They function a core constructing block in lots of natural language processing (NLP) applications today, including information retrieval,...

By integrating the subtle language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data.Scikit-LLM, accessible on its...

As we experience the world, our senses (vision, sounds, smells) provide a various array of data, and we express ourselves using different communication methods, similar to facial expressions and gestures. These senses and communication...

With help from a man-made language network, MIT neuroscientists have discovered what...

Over the past 12 months, generative AI has exploded in popularity, thanks largely to OpenAI's release of ChatGPT in November 2022. ChatGPT is an impressively capable conversational AI system that may understand natural language...

Motivations for Adopting Small Language ModelsThe growing interest in small language models (SLMs) is driven by several key aspects, primarily efficiency, cost, and customizability. These facets position SLMs as attractive alternatives to their larger...

12 min read·16 hours agoThe recent exponential advances in natural language processing capabilities from large language models (LLMs) have stirred tremendous excitement about their potential to realize human-level intelligence. Their ability to provide remarkably...