Chatbots Life

MAY 15, 2023

At Master of Code, we specialize in helping businesses leverage Generative AI chatbots to create impactful and engaging experiences for their customers. Product Search : With Generative AI, chatbots can better understand customer queries and provide more accurate search results.

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ODSC - Open Data Science

JULY 20, 2023

Network and Security staff: Data center operations require specialized network and security staff, who are responsible for maintaining the data center’s network infrastructure and ensuring the data center’s security, such as network administrators, network engineers, security engineers and security analysts.

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Data Science Dojo

AUGUST 24, 2023

While DevOps and MLOps share many similarities, MLOps requires a more specialized set of tools and practices to address the unique challenges posed by data-driven and computationally intensive ML workflows. Better model performance : With MLOps, businesses can continuously monitor and improve the performance of their ML models.

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Hacker News

MARCH 15, 2023

And how will we humans fit in? The Shock of ChatGPT Just a few months ago writing an original essay seemed like something only a human could do. But then ChatGPT burst onto the scene. And suddenly we realized that an AI could write a passable human-like essay. So now it’s natural to wonder: How far will this go? What will AIs be able to do?

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AI AI Artificial Intelligence Artificial Intelligence 178

Dataconomy

AUGUST 25, 2023

By understanding the values of these metrics, we can fine-tune our models for better performance. To get a better understanding of the calculation of ROC-AUC in machine learning, you may calculate the ROC curve and find the Area Under the Curve (AUC). If recall is low, we might need to adjust the model to capture more positives.

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Snorkel AI

JUNE 22, 2023

They give you a view of the importance of data across the entire life cycle. One of a few milestones was setting up our product engineering arm, QB Labs, towards the latter part of 2019. I think we’ve learned quite a few things, but this is very much still evolving quickly.

Data Quality 52

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Snorkel AI

JUNE 22, 2023

They give you a view of the importance of data across the entire life cycle. One of a few milestones was setting up our product engineering arm, QB Labs, towards the latter part of 2019. I think we’ve learned quite a few things, but this is very much still evolving quickly.

Data Quality 52

Data Quality AI AI ML 52

The MLOps Blog

OCTOBER 3, 2023

The concept of looking a few steps, a few years ahead, I think it’s something that people are missing, and it’s something that, by the end of the day, may result in better outcomes. In this episode, Mikiko Bazeley shares her learnings from building the ML Platform at Mailchimp. Quite fun, quite chaotic at times.

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ML ML Data Scientist Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 29, 2023

For example: Making data-driven farming decisions – By gaining better spatial understanding of the crops, farmers and other agricultural stakeholders can optimize the use of resources, from water to fertilizer to other chemicals across the season. These could be the physical changes in size and distribution of croplands.

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Machine Learning Machine Learning ML ML 111

PyImageSearch

MAY 22, 2023

Home Table of Contents DETR Breakdown Part 1: Introduction to DEtection TRansformers Why DETR and What’s So Special? ? Life Is Not a Bed of Roses ?: But, for now, let us focus on the topics at hand: why DETR where it came from what’s the big deal about it Why DETR and What’s So Special? ? Life Is Not a Bed of Roses ?:

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Data Science Dojo

JANUARY 11, 2024

Because bigger language models translated to be the better language models. Given this, how do SLMs fit into this equation, let alone outperform large language models? There are several reasons why lesser-sized language models fit into the equation of language models. The answer lies in the training methods.

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DrivenData Labs

DECEMBER 7, 2023

To help solvers engage with such an open-ended problem, the competition website included guiding questions and examples of analyses that would and would not be a good fit for the competition. Finally, we fitted different model candidates using different combinations of input data (e.g. Guiding questions. and DistilBERT.

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The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. But here’s the catch: understanding what makes a platform successful and building it is no easy feat. What is a machine learning platform?

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Machine Learning Machine Learning Data Scientist ML 69