Remove 2015 Remove Database Remove Natural Language Processing
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How does Salesforce use artificial intelligence to transform businesses?

Dataconomy

But the real progress happened in 2015. Unfortunately, they have to fill out similar forms, look for the needed client in the database, and switch between different channels. Einstein GPT supercharges CRM with advanced natural language processing, helping businesses communicate better, understand customers, and craft content.

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sense2vec reloaded: contextually-keyed word vectors

Explosion

In 2016 we trained a sense2vec model on the 2015 portion of the Reddit comments corpus, leading to a useful library and one of our most popular demos. Try the new interactive demo to explore similarities and compare them between 2015 and 2019 sense2vec (Trask et. Interestingly, “to ghost” wasn’t very common in 2015.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

ML 88
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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning Blog

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

ML 52
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Introducing spaCy

Explosion

spaCy is a new library for text processing in Python and Cython. I wrote it because I think small companies are terrible at natural language processing (NLP). Labs and Emory University, to appear at ACL 2015. System Language Accuracy Speed spaCy v0.86 Independent Evaluation Independent evaluation by Yahoo!

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Cohere’s Alammar encourages effective strategy for Generative AI

Snorkel AI

I work at Cohere , which is working to make NLP (Natural Language Processing) part of every developer’s toolkit. We’ve been featured in a number of these lists, and the main idea is that Cohere trains these large language models and offers them on the cloud via API.

AI 52
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Cohere’s Alammar encourages effective strategy for Generative AI

Snorkel AI

I work at Cohere , which is working to make NLP (Natural Language Processing) part of every developer’s toolkit. We’ve been featured in a number of these lists, and the main idea is that Cohere trains these large language models and offers them on the cloud via API.

AI 52