Originally published in Innovation Endeavors, Nov 1, 2022. Applied large language model startups have exploded in the past year. Enormous advances in underlying language modeling technology, coupled with the early success of products like Github CoPilot, have led to a huge array of founders using LLMs to rethink workflows ranging from code reviews to copywriting to analyzing unstructured product feedback.
Originally published by Roberto Rocha. One of the most exciting applications of AI in journalism is the creation of structured data from unstructured text. Government reports, legal documents, emails, memos… these are rich with content like names,...
Originally posted on Replit.com, Sept 21, 2022. Large Language Models (LLMs) are known for their near-magical ability to learn from very few examples — as little as zero — to create language wonders. LLMs can chat, write...
Originally published in Microsoft Research Blog, Oct 11, 2021 We are excited to introduce the DeepSpeed- and Megatron-powered Megatron-Turing Natural Language Generation model (MT-NLG), the largest and the most powerful monolithic transformer language model trained to date,...
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