Mlearning.ai

JUNE 20, 2023

“Self-Supervised methods […] are going to be the main method to train neural nets before we train them for difficult tasks” —  Yann LeCun Well! Let’s have a look at this Self-Supervised Learning! Let’s have a look at Self-Supervised Learning. That is why it is called Self -Supervised Learning.

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Analytics Vidhya

OCTOBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018 Google AI released a self-supervised learning model […]. The post A Gentle Introduction to RoBERTa appeared first on Analytics Vidhya.

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Towards AI

APRIL 8, 2024

Last Updated on April 8, 2024 by Editorial Team Author(s): Eashan Mahajan Originally published on Towards AI. Photo by Arseny Togulev on Unsplash With machine learning’s surge of popularity in the past few years, more and more people spend hours each day trying to learn as much as they can. Let’s get right into it.

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NYU Center for Data Science

FEBRUARY 29, 2024

However, the potential of such technologies is often hindered by biases in the data they learn from. As we increasingly rely on general-purpose, self-supervised learning (SSL) pre-trained foundation models across various tasks, the imperative to ensure these models are fair becomes paramount.

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Data Science Dojo

SEPTEMBER 5, 2023

Virginia Tech and Microsoft unveil the Algorithm of Thoughts, a breakthrough AI method supercharging idea exploration and reasoning prowess in Large Language Models (LLMs). Accelerated Problem-Solving with Reduced Resource Dependency The outcome of this paradigm shift in AI? Significantly faster and resource-efficient problem-solving.

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Flipboard

FEBRUARY 22, 2023

One rarely gets to engage in a conversation with an individual like Andrew Ng, who has left an indelible impact as an educator, researcher, innovator and leader in the artificial intelligence and technology realms. Fortunately, I recently had the privilege of doing so. Our article detailing the …

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Towards AI

FEBRUARY 13, 2024

Author(s): Louis-François Bouchard Originally published on Towards AI. Louis-François Bouchard in What is Artificial Intelligence Introduction to self-supervised learning·4 min read·May 27, 2020 80 … Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter.

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Data Science Dojo

FEBRUARY 19, 2024

As part of the generative AI world, LLMs have led to innovation in machine-learning tasks. Roadmap to understanding an LLM project lifecycle Within the realm of generative AI, a project involving large language models can be a daunting task. The next part of this step is to explore the feasibility of a solution in generative AI.

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Towards AI

DECEMBER 31, 2023

Last Updated on January 2, 2024 by Editorial Team Author(s): Yunzhe Wang Originally published on Towards AI. Superintelligent AI systems will be extraordinarily powerful; humans could face catastrophic risks including even extinction if those systems are misaligned or misused. Predictions of the weak model are used as weak labels.

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Snorkel AI

FEBRUARY 27, 2024

The three main phases are: self-supervised learning supervised learning reinforcement learning. I recently gave a talk at Snorkel AI’s second Enterprise LLM Summit about the problems that can surface when the data for these three labels is not properly aligned. I’ve summarized the main points below.

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Dataconomy

SEPTEMBER 13, 2023

AI annotation jobs are on the rise; naturally, people started asking what exactly is data annotation. AI annotation jobs: What is data annotation? AI still needs a human hand to operate efficiently; for how long, though? Faulty data can introduce biases and lead to inaccurate predictions by AI systems.

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Towards AI

AUGUST 29, 2023

Last Updated on August 30, 2023 by Editorial Team Author(s): Tan Pengshi Alvin Originally published on Towards AI. Introducing the backbone of Reinforcement Learning — The Markov Decision Process This member-only story is on us. Join thousands of data leaders on the AI newsletter. Published via Towards AI

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Snorkel AI

FEBRUARY 27, 2024

The three main phases are: self-supervised learning supervised learning reinforcement learning. I recently gave a talk at Snorkel AI’s second Enterprise LLM Summit about the problems that can surface when the data for these three labels is not properly aligned. I’ve summarized the main points below.

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Towards AI

FEBRUARY 15, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, fellow AI enthusiasts! This week’s podcast episode is extremely useful if you are a student or want to switch to the AI space. I hope you enjoy this week’s iteration of the newsletter and that you learn at least one new thing!

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Towards AI

APRIL 7, 2024

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. You just want to create and analyze simple maps not to learn algebra all over again. This function can be improved by AI and ML, which allow GIS to produce insights, automate procedures, and learn from data. Types of Machine Learning for GIS 1.

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Dataconomy

APRIL 18, 2023

With the rise of AI-generated art and AI-powered chatbots like ChatGPT, it’s clear that artificial intelligence has become a ubiquitous part of our daily lives. These cutting-edge technologies have captured the public imagination, fueling speculation about the future of AI and its impact on society.

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Towards AI

JANUARY 11, 2024

Last Updated on January 12, 2024 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI. Arguably, one of the most important concepts in machine learning is classification. This article will illustrate the difference between classification and regression in machine learning. Published via Towards AI

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Dataconomy

OCTOBER 5, 2023

If you are interested in technology at all, it is hard not to be fascinated by AI technologies. Whether it’s pushing the limits of creativity with its generative abilities or knowing our needs better than us with its advanced analysis capabilities, many sectors have already taken a slice of the huge AI pie.

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Dataconomy

MAY 29, 2023

In the field of AI and ML, QR codes are incredibly helpful for improving predictive analytics and gaining insightful knowledge from massive data sets. These algorithms allow AI systems to recognize patterns, forecast outcomes, and adjust to new situations.

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Flipboard

MARCH 23, 2023

Marco Ramponi at Assembly AI: The creators have used a combination of both Supervised Learning and Reinforcement Learning to fine-tune ChatGPT, but it …

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Analytics Vidhya

SEPTEMBER 27, 2023

Introduction In recent years, the integration of Artificial Intelligence (AI), specifically Natural Language Processing (NLP) and Machine Learning (ML), has fundamentally transformed the landscape of text-based communication in businesses.

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Analytics Vidhya

NOVEMBER 20, 2023

Introduction This article concerns building a system based upon LLM (Large language model) with the ChatGPT AI-1. Considering the enormity of the topic, […] The post Unleashing ChatGPT AI-1: Constructing an Advanced LLM-Based System appeared first on Analytics Vidhya.

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Google Research AI blog

MARCH 6, 2023

First, there is a lack of scalability with conventional supervised learning approaches. In contrast, self-supervised learning can leverage audio-only data, which is available in much larger quantities across languages. For the encoder, USM uses the Conformer , or convolution-augmented transformer.

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Dataversity

DECEMBER 16, 2022

2022 was a big year for AI, and we’ve seen significant advancements in various areas – including natural language processing (NLP), machine learning (ML), and deep learning. Unsupervised and self-supervised learning are making ML more accessible by lowering the training data requirements.

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Towards AI

MARCH 4, 2023

Last Updated on March 4, 2023 by Editorial Team Author(s): Harshit Sharma Originally published on Towards AI. Fully-Supervised Learning (Non-Neural Network) — powered by — Feature Engineering Supervised learning required input-output examples to train the model. Join thousands of data leaders on the AI newsletter.

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Dataconomy

MAY 25, 2023

By harnessing the power of AI in IoT, we can create intelligent ecosystems where devices seamlessly communicate, collaborate, and make intelligent choices to improve our lives. Let’s explore the fascinating intersection of these two technologies and understand how AI enhances the functionalities of IoT.

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Towards AI

JANUARY 30, 2024

Author(s): Abhinav Kimothi Originally published on Towards AI. Being new to the world of Generative AI, one can feel a little overwhelmed by the jargon. Designed to be general-purpose, providing a foundation for various AI applications. I’ve been asked many times about common terms used in this field. Examples: GPT 3.5,

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Towards AI

DECEMBER 28, 2023

Last Updated on December 30, 2023 by Editorial Team Author(s): Luhui Hu Originally published on Towards AI. AI Power for Foundation Models (source as marked) As we bid farewell to 2023, it’s evident that the domain of computer vision (CV) has undergone a year teeming with extraordinary innovation and technological leaps.

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Chatbots Life

APRIL 19, 2024

As per a recent Gartner poll , 45% of executive leaders have increased their AI investments due to the popularity of ChatGPT. Key Generative AI Business Gains The statistics provide a compelling answer. For 68% of executives, the benefits of Generative AI far outweigh the associated risks. The trends don’t end here.

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IBM Journey to AI blog

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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Flipboard

FEBRUARY 28, 2023

More posts by this contributor 4 questions to ask before building a computer vision model During the past six months, we have witnessed some incredible developments in AI. These advancements in generative AI offer further evidence that we’re on the precipice of an AI revolution. What is active learning?

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Dataconomy

AUGUST 21, 2023

What is LLM in AI? At its core, a Large Language Model (LLM) is a sophisticated machine learning entity adept at executing a myriad of natural language processing (NLP) activities. LLMs immerse themselves in vast data pools and employ a technique called self-supervised learning. You might ask. So, how does it all work?

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ODSC - Open Data Science

SEPTEMBER 15, 2023

Believe it or not, generative AI is more than just text in a box. In addition to its prowess in crafting captivating narratives and artistic creations, generative AI demonstrates its versatility by helping users empower their own data analytics. Imagine equipping generative AI with a dataset rich in information from various sources.

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Towards AI

JULY 22, 2023

Last Updated on July 24, 2023 by Editorial Team Author(s): Cristian Originally published on Towards AI. In the context of Machine Learning, data can be anything from images, text, numbers, to anything else that the computer can process and learn from. Instead, it learns by finding patterns and structures in the input data.

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Towards AI

SEPTEMBER 7, 2023

Last Updated on September 8, 2023 by Editorial Team Author(s): Louis Bouchard Originally published on Towards AI. An analogy to explain how deep learning works… This member-only story is on us. link] When we talk about artificial intelligence, or AI, we tend to mean deep learning. Published via Towards AI

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ODSC - Open Data Science

SEPTEMBER 20, 2023

We’re in an age where generative AI models like ChatGPT, Midjourney, and Google’s Bard are pushing the boundaries of what machines can do with human operators. So let’s delve into some strategies for prompt fine-tuning for generative AI programs, helping you harness their full potential. Iterate until you achieve the desired result.

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IBM Journey to AI blog

MAY 9, 2023

We stand on the frontier of an AI revolution. Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. It sounds like a joke, but it’s not, as anyone who has tried to solve business problems with AI may know.

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