Towards AI

JULY 23, 2023

Last Updated on July 25, 2023 by Editorial Team Author(s): Abhijit Roy Originally published on Towards AI. Semi-Supervised Sequence Learning As we all know, supervised learning has a drawback, as it requires a huge labeled dataset to train. In 2015, Andrew M. At this point, datasets like […]

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Chatbots Life

MAY 12, 2023

How ChatGPT really works and will it change the field of IT and AI? — a As we can read in the article, the only difference between InstructGPT and ChatGPT is the fact that the annotators played both the user and AI assistant. The hypothesis as to why such training was particularly effective is explained in the next section.

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Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. Foundation models underpin generative AI capabilities, from text-generation to music creation to image generation. What is self-supervised learning? Find out in the guide below.

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AssemblyAI

JULY 18, 2023

To build generative AI applications leveraging spoken data, product and development teams will need accurate speech to text as a critical component of their AI pipeline. We’re excited to see the innovative AI products built with the improved results from our Conformer-2 model. Panayotov, G. Povey and S. 2015.7178964. [3]

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

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Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. They then learn a reverse diffusion process that can restore the structure in the data that has been lost, even given high levels of noise. Middle: From M.

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Snorkel AI

FEBRUARY 13, 2024

LLMs’ flexibility dazzles, but most AI problems don’t require flexibility. Data scientists can use distillation to jumpstart classification models or to align small-format generative AI (GenAI) models to produce better responses. Users can ask ChatGPT , Bard , or Grok any number of questions and often get useful answers.

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