Mlearning.ai

FEBRUARY 19, 2023

Natural Language Processing (NLP) NLP is subset of Artificial Intelligence that is concerned with helping machines to understand the human language. NLP is a branch of AI that focuses on the use of natural human language for various computing applications. The auto-complete feature on your smartphone is based on this principle.

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Unite.AI

AUGUST 1, 2023

In zero-shot learning, no examples of task completion are provided in the model. Chain-of-thought Prompting Chain-of-thought prompting leverages the inherent auto-regressive properties of large language models (LLMs), which excel at predicting the next word in a given sequence.

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John Snow Labs

JUNE 27, 2023

Are you curious about the groundbreaking advancements in Natural Language Processing (NLP)? Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. Ever wondered how machines can understand and generate human-like text?

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Explosion

JANUARY 31, 2021

It’s much easier to configure and train your pipeline, and there are lots of new and improved integrations with the rest of the NLP ecosystem. And since modern NLP workflows often consist of multiple steps, there’s a new workflow system to help you keep your work organized. See NLP-progress for more results. Flair 2 89.7

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Snorkel AI

JANUARY 18, 2023

A 2018 study from McKinsey estimated the total global unclaimed value potential from AI/ML at $10-15 trillion, and Foundation Models will enable valuable applications that the firm couldn’t conceive of four years ago. However, he said, making an organization’s core model a single point of failure also makes it a single point to protect.

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Snorkel AI

MARCH 21, 2023

In 2018, we did a piece of research where we tried to estimate the value of AI and machine learning across geographies, across use cases, and across sectors. One is compared to our first survey conducted in 2018, we see more enterprises investing in AI capability. Firstly, what is the state of the industry?

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Google Research AI blog

FEBRUARY 28, 2023

For example, supporting equitable student persistence in computing research through our Computer Science Research Mentorship Program , where Googlers have mentored over one thousand students since 2018 — 86% of whom identify as part of a historically marginalized group. See some of the datasets and tools we released in 2022 listed below.

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