​ Large language models, such as masked LMs, autoregressive LMs, and encoder-decoder LMs, BART), have shown cutting-edge results for various NLP problems. Among these, autoregressive LMs like GPT3 and GPT-4 exhibit notable in-context learning capacity and great long-form text creation performance. Because of its significance,… Read More »This AI Paper From NVIDIA Provides The Recipe To Reproduce RETRO Up To 9.5B Parameters While Retrieving A Text Corpus With 330B Tokens Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large language models, such as masked LMs, autoregressive LMs, and encoder-decoder LMs, BART), have shown cutting-edge results for various NLP problems. Among these, autoregressive LMs like GPT3 and GPT-4 exhibit notable in-context learning capacity and great long-form text creation performance. Because of its significance,… Read More »This AI Paper From NVIDIA Provides The Recipe To Reproduce RETRO Up To 9.5B Parameters While Retrieving A Text Corpus With 330B Tokens Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Large language models, such as masked LMs, autoregressive LMs, and encoder-decoder LMs, BART), have shown cutting-edge results for various NLP problems. Among these, autoregressive LMs like GPT3 and GPT-4 exhibit notable in-context learning capacity and great long-form text creation performance. Because of its significance,… Read More »This AI Paper From NVIDIA Provides The Recipe To Reproduce RETRO Up To 9.5B Parameters While Retrieving A Text Corpus With 330B Tokens Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ Machine Learning is all over the place, thanks to its recent developments and new releases. With AI and ML’s increasing popularity and demand for production-level ML models, finding out ML problems and constituting a solution for them is very important. Design patterns are the… Read More »Exploring Design Patterns in Machine Learning Systems for Enhanced Performance and Usability Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Model specialization involves adapting a pre-trained machine-learning model to a specific task or domain. In Language Models (LMs), model specialization is crucial in improving their performance in various tasks like summarization, question-answering, translation, and language generation. The two main processes to specialize a language… Read More »Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

​ Model specialization involves adapting a pre-trained machine-learning model to a specific task or domain. In Language Models (LMs), model specialization is crucial in improving their performance in various tasks like summarization, question-answering, translation, and language generation. The two main processes to specialize a language… Read More »Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost

​ Model specialization involves adapting a pre-trained machine-learning model to a specific task or domain. In Language Models (LMs), model specialization is crucial in improving their performance in various tasks like summarization, question-answering, translation, and language generation. The two main processes to specialize a language… Read More »Researchers at Stanford Introduce Gisting: A Novel Technique for Efficient Prompt Compression in Language Models Nathalie Crevoisier Artificial Intelligence Category – MarkTechPost