PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. It is estimated that over $140 billion is required annually to meet the health-related sustainable development goal objectives. Figure 1: Global Funding in Health Tech Companies (source: Mrazek and O’Neill, 2020 ).

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Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. So here is a warehouse generated in Omniverse. And what do you do then?

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Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. So here is a warehouse generated in Omniverse. And what do you do then?

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Hacker News

MAY 3, 2023

In the past months, an exquisitely human-centric approach called Reinforcement Learning from Human Feedback (RLHF) has rapidly emerged as a tour de force in the realm of AI alignment. What is the learning process of a language model? What is RLHF and how to make language models more aligned with human values?

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Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. In 2022, we continued this journey, and advanced the state-of-the-art in several related areas. You can find other posts in the series here.) For scalability and speed, this graph should be sparse without compromising quality.

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Google Research AI blog

FEBRUARY 28, 2023

We at Google see it as our responsibility to disseminate our work as contributing members of the scientific community and to help train the next generation of researchers. We at Google see it as our responsibility to disseminate our work as contributing members of the scientific community and to help train the next generation of researchers.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

Today, we are excited to announce the capability to fine-tune the Mistral 7B model using Amazon SageMaker JumpStart. You can now fine-tune and deploy Mistral text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

Today, we are excited to announce the capability to fine-tune Llama 2 models by Meta using Amazon SageMaker JumpStart. The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.

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Snorkel AI

MARCH 1, 2023

Foundation Models (FMs), such as GPT-3 and Stable Diffusion, mark the beginning of a new era in machine learning and artificial intelligence. Table of contents What are foundation models? Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning.

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Mlearning.ai

FEBRUARY 6, 2023

Image generated by DALLE-2 The measures to counter AI-Generated text in education and other fields need their own transparency measures. Entrepreneurs began to think of potential business ideas around generative text models. In this article, I am to break down some of these issues around model-based chatbot detection.

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phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. At phData we have the luxury of working with a diverse array of clients differing in industry, location, and size. Want to Save This Guide for Later?

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AWS Machine Learning Blog

APRIL 10, 2023

In November 2022, we announced that AWS customers can generate images from text with Stable Diffusion models using Amazon SageMaker JumpStart. Today, we are excited to introduce a new feature that enables users to inpaint images with Stable Diffusion models.

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Google Research AI blog

FEBRUARY 15, 2023

Posted by Haim Kaplan and Yishay Mansour, Research Scientists, Google Research Differential privacy (DP) machine learning algorithms protect user data by limiting the effect of each data point on an aggregated output with a mathematical guarantee. A sphere of diameter Λ containing all possible data points.

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AWS Machine Learning Blog

APRIL 17, 2023

Sparked by the release of large AI models like AlexaTM , GPT , OpenChatKit , BLOOM , GPT-J , GPT-NeoX , FLAN-T5 , OPT , Stable Diffusion , and ControlNet , the popularity of generative AI has seen a recent boom. This post can help! You can find an accompanying example notebook in the SageMaker examples repository.

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PyImageSearch

DECEMBER 12, 2022

Setting Up the Prerequisites Building the Model Assessing the Model Summary Citation Information Scaling Kaggle Competitions Using XGBoost: Part 2 In our previous tutorial , we went through the basic foundation behind XGBoost and learned how easy it was to incorporate a basic XGBoost model into our project.

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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. What is a machine learning platform?

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Google Research AI blog

JANUARY 24, 2023

Posted by Marian Croak, VP, Google Research, Responsible AI and Human-Centered Technology The last year showed tremendous breakthroughs in artificial intelligence (AI), particularly in large language models (LLMs) and text-to-image models. This poses a risk to ML system developers, and demands new model evaluation practices.

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