AWS Machine Learning Blog

SEPTEMBER 11, 2024

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

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Hacker News

JANUARY 9, 2024

but with things like clustering). There’s one setup for interpreted languages like Python. Let’s start with Python. We’ve had ExternalEvaluate for evaluating Python code since 2018. But when you actually come to use Python there are all these dependencies and libraries to deal with. But in Version 14.0

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Flipboard

APRIL 13, 2023

Second, customers want integration into applications to be seamless, without having to manage huge clusters of infrastructure or incur large costs. In 2018, we announced Inferentia, the first purpose-built chip for inference. This is a giant leap forward in developer productivity, and we believe this is only the beginning.

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Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2018; Sitawarin et al., 2018; Papernot et al., 2018; Pang et al., 2012; Otsu, 1979; Long et al., For instance, Xu et al. Another study by Jin et al.

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Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning. He currently is working on Generative AI for data integration.

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Mlearning.ai

JUNE 8, 2023

Clustering  — we can cluster our sentences, useful for topic modeling. Doc2Vec SBERT InferSent Universal Sentence Encoder Top 4 Sentence Embedding Techniques using Python! SentenceBERT: Currently, the leader among the pack, SentenceBERT was introduced in 2018 and immediately took the pole position for Sentence Embeddings.

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Explosion

MAY 17, 2023

For instance, you could extract a few noisy metrics, such as a general “positivity” sentiment score that you track in a dashboard, while you also produce more nuanced clustering of the posts which are reviewed periodically in more detail. You might want to view the data in a variety of ways.

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O'Reilly Media

NOVEMBER 28, 2023

The top five responses clustered between 45 and 50%: unexpected outcomes (49%), security vulnerabilities (48%), safety and reliability (46%), fairness, bias, and ethics (46%), and privacy (46%). If ChatGPT writes a Python script for you, you may not care why it wrote that particular script rather than something else.

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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.

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