Heartbeat

OCTOBER 3, 2023

The documentation provides an intricate web of warnings on how to use it, and you quickly learn why. Now, we can attempt memory mapping with the lessons we acquired: Pay attention to shape. Mode — Whether it is read-only(r), read and write(r+) etc. In this article, we created and stored a raw binary from that same file.

Deep Learning 52

Deep Learning Data Scientist ML Explainability 52

Unite.AI

OCTOBER 20, 2023

Cliff Weitzman, a dyslexic college student from Brown University, founded the app in 2017 to revolutionize how we consume written content. Since then, Speechify has grown from a startup with a noble vision to one of the best text-to-speech apps by enhancing reading speed, helping those with ADHD and dyslexia, and more.

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Auto-complete AI AI Explainability 147

The MLOps Blog

JANUARY 11, 2023

They can help to ensure that machine learning models are developed and deployed efficiently and that they remain reliable and accurate over time. AWS offers a three-layered machine learning stack to choose from based on your skill set and team’s requirements for implementing workloads to execute machine learning tasks.

Machine Learning 52

Machine Learning Automation ML Python 52

Dlabs.ai

JUNE 18, 2021

As the pandemic took hold and society closed down, e-learning let educational institutions continue to teach their students. And over the last eighteen months, more and more solutions have helped improve the quality and effectiveness of online learning. Artificial intelligence has played a crucial role across the e-learning industry.

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Heartbeat

JULY 10, 2023

Unfortunately, if this were the easier option for everybody then I wouldn’t be writing this article. This is why learning how to manage your memory is a key lesson when dealing with image classification. Learn what else makes effective ML teams work with our free ebook. We pay our contributors, and we don’t sell ads.

Deep Learning 52

Deep Learning ML Data Scientist Explainability 52

Unite.AI

OCTOBER 9, 2023

From there, I'll review its pros and cons, who Lovo.ai It has many uses, including advertisements, audiobook narration, podcasting, e-learning, voiceovers for videos and commercials, and much more. It also uses machine learning algorithms and neural networks to generate lifelike voices. In this Lovo.ai is right for you!

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AI AI Explainability Neural Network 278

Ofemwire

JULY 22, 2023

Adventure Novel AI Prompts Embark on a daring quest to retrieve a lost artifact from the heart of an enchanted forest. Tell the tale of a young mage on a journey to master the elements and save their homeland from darkness. Detail the trials and tribulations of a pair of star-crossed lovers from rival kingdoms.

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AI AI Artificial Intelligence Artificial Intelligence 52

Chatbots Life

MAY 12, 2023

a deep dive Unless you have been living under a rock for the last few months, you have probably heard about a new model from OpenAI called ChatGTP. As everything is explained from scratch but extensively I hope you will find it interesting whether you are NLP Expert or just want to know what all the fuss is about.

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The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Nice to have you here, Miki.

ML 52

ML Data Scientist Machine Learning Data Science 52

Heartbeat

NOVEMBER 9, 2023

Traditional methods might falter, but with LangChain’s Document Chains, you can seamlessly split, process, and derive meaningful insights from such texts. Want to learn how to build modern software with LLMs using the newest tools and techniques in the field? Additionally, this method is only suitable for smaller amounts of data.

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LLM OpenAI Data Scientist Deep Learning 52

AWS Machine Learning Blog

APRIL 12, 2023

This is a guest post co-written with Moulham Zahabi from Matarat. To address these challenges, a seismic shift needs to happen in maintenance strategies—moving from a reactive to proactive mindset. This architecture was built from lessons learned while working with airport operations over several years.

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ML Machine Learning Automation Data Ingestion 85

The MLOps Blog

MAY 31, 2023

Getting machine learning to solve some of the hardest problems in an organization is great. In this article, I will share my learnings of how successful ML platforms work in an eCommerce and what are the best practices a Team needs to follow during the course of building it. But how to build it?

ML 59

ML Algorithm Data Drift Data Platform 59

PyImageSearch

JULY 24, 2023

Going Beyond with Keras Core The Power of Keras Core: Expanding Your Deep Learning Horizons Show Me Some Code JAX Harnessing model.fit() Imports and Setup Data Pipeline Build a Custom Model Build the Image Classification Model Train the Model Evaluation Summary References Citation Information What Is Keras Core? What Is Keras Core?

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Computer Vision Deep Learning Machine Learning Neural Network 98

Chatbots Life

MAY 3, 2023

Conversational AI is the use of Machine learning and advanced algorithms where you interact with a computer naturally using audio, and the machine/computer understands the intent behind your query and responds accordingly. The machines then are able to understand the questions and respond to them aptly.

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The MLOps Blog

MARCH 21, 2023

Moving across the typical machine learning lifecycle can be a nightmare. From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. Gathering requirements from your users.

Machine Learning 69

Machine Learning Data Scientist ML Metadata 69

Snorkel AI

SEPTEMBER 12, 2023

Chief Data Scientist, and where the title “data scientist” came from. Tell us a little bit about how that all started, and what you think was the most exciting accomplishment from serving in the position. That was very different from how almost every other place approached the question. That prevents you from being put in a box.

Data Scientist 59

Data Scientist Data Science AI Strategy Large Language Models 59

Snorkel AI

SEPTEMBER 12, 2023

Chief Data Scientist, and where the title “data scientist” came from. Tell us a little bit about how that all started, and what you think was the most exciting accomplishment from serving in the position. That was very different from how almost every other place approached the question. That prevents you from being put in a box.

Data Scientist 59

Data Scientist Data Science AI Strategy Large Language Models 59