Snorkel AI

MARCH 1, 2023

Foundation models are large AI models trained on enormous quantities of unlabeled data—usually through self-supervised learning. This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy.

Natural Language Processing 83

Natural Language Processing Supervised Learning Machine Learning Machine Learning 83

Hacker News

MARCH 25, 2022

Transformers made self-supervised learning possible, and AI jumped to warp speed,” said NVIDIA founder and CEO Jensen Huang in his keynote address this week at GTC. Transformers are in many cases replacing convolutional and recurrent neural networks (CNNs and RNNs), the most popular types of deep learning models just five years ago.

Machine Learning 182

Machine Learning Machine Learning Database AI 182

Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. In March of 2022, DeepMind released Chinchilla AI.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Reminder : Training data refers to the data used to train an AI model, and commonly there are three techniques for it: Supervised learning: The AI model learns from labeled data, which means that each data point has a known output or target value. In March of 2022, DeepMind released Chinchilla AI.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Becoming Human

MARCH 16, 2023

Like in the human brain, these neurons work together to process information and make predictions or decisions. The more layers of interconnected neurons a neural network has, the more “deep” it is. The increasing power of computers and new AI developments Recent tech advances have shifted the traditional focus of AI drug discovery research.

AI 139

AI AI Deep Learning Deep Learning 139

Pickl AI

NOVEMBER 13, 2024

As the global Machine Learning market expands—valued at USD 35.80 billion in 2022 and projected to reach USD 505.42 This article explores the various methods, benefits, and applications of Data Augmentation in Machine Learning, highlighting its essential role in enhancing model performance and overcoming data limitations.

Machine Learning 52

Machine Learning Machine Learning Supervised Learning Natural Language Processing 52

Dataconomy

AUGUST 22, 2024

My work demonstrated broad expertise in computer vision, deep learning, and industrial IoT, showcasing the ability to adapt cutting-edge technologies to the specific needs of the oil and gas industry and tackle unprecedented challenges in the Malaysian context. One of the most promising trends in Computer Vision is Self-Supervised Learning.

ML 91

ML ML Machine Learning Machine Learning 91

Pickl AI

SEPTEMBER 18, 2024

Introduction Machine Learning is rapidly transforming industries. billion in 2022 to approximately USD 771.38 A Machine Learning Engineer plays a crucial role in this landscape, designing and implementing algorithms that drive innovation and efficiency. The global market is projected to grow from USD 38.11 Platforms like Pickl.AI

Machine Learning 52

Machine Learning Machine Learning Algorithm Natural Language Processing 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Since its release on November 30, 2022 by OpenAI , the ChatGPT public demo has taken the world by storm. It is the latest in the research lab’s lineage of large language models using Generative Pre-trained Transformer (GPT) technology. ChatGPT is a next-generation language model (referred to as GPT-3.5)

Database 124

Database AI AI Natural Language Processing 124

Snorkel AI

MARCH 24, 2023

Snorkel AI researchers continue to push the frontier of machine learning, as demonstrated by the 18 research papers recently added to our website. This batch of research papers, all published in 2022, present new developments in weak supervision and foundation models.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Supervised Learning 52

Pickl AI

NOVEMBER 18, 2024

Introduction Machine Learning is critical in shaping modern technologies, from autonomous vehicles to personalised recommendations. The global Machine Learning market was valued at USD 35.80 billion in 2022 and is expected to grow significantly, reaching USD 505.42 Common Supervised Learning tasks include classification (e.g.,

Machine Learning 52

Machine Learning Machine Learning Decision Trees Algorithm 52

IBM Journey to AI blog

AUGUST 11, 2023

Today, 35% of companies report using AI in their business, which includes ML, and an additional 42% reported they are exploring AI, according to the IBM Global AI Adoption Index 2022. This advancement in AI means that data sets aren’t task specific—the model can apply information it’s learned about one situation to another.

Data Science 68

Data Science Machine Learning Machine Learning ML 68

Pickl AI

NOVEMBER 28, 2024

A Machine Learning Engineer is crucial in designing, building, and deploying models that drive this transformation. The global Machine Learning market was valued at USD 35.80 billion in 2022 and is expected to grow to USD 505.42 billion by 2031, growing at a CAGR of 34.20%.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Heartbeat

FEBRUARY 28, 2023

U-Net , U-Net++ ], whereas unsupervised learning eliminates this requirement [see this r eview paper ]. Semi-supervised learning lies in between supervised and unsupervised learning, which we will learn in detail in the following sections. What is Semi-supervised Learning (SSL)?

Deep Learning 52

Deep Learning Deep Learning Supervised Learning Algorithm 52

Snorkel AI

MAY 25, 2023

Data scientists and researchers train LLMs on enormous amounts of unstructured data through self-supervised learning. During the training process, the model accepts sequences of words with one or more words missing. The model then predicts the missing words (see “what is self-supervised learning?”

Natural Language Processing 52

Natural Language Processing Python Machine Learning Machine Learning 52

Snorkel AI

MAY 25, 2023

Data scientists and researchers train LLMs on enormous amounts of unstructured data through self-supervised learning. During the training process, the model accepts sequences of words with one or more words missing. The model then predicts the missing words (see “what is self-supervised learning?”

Natural Language Processing 52

Natural Language Processing Python Machine Learning Machine Learning 52

Heartbeat

NOVEMBER 16, 2023

An In-depth Look into Evaluating AI Outputs, Custom Criteria, and the Integration of Constitutional Principles Photo by Markus Winkler on Unsplash Introduction In the age of conversational AI, chatbots, and advanced natural language processing, the need for systematic evaluation of language models has never been more pronounced.

AI 52

AI AI Deep Learning Deep Learning 52

Google Research AI blog

NOVEMBER 28, 2022

Posted by Cat Armato, Program Manager, Google This week marks the beginning of the 36th annual Conference on Neural Information Processing Systems ( NeurIPS 2022 ), the biggest machine learning conference of the year.

Machine Learning 52

Machine Learning Machine Learning Algorithm Clustering 52

AWS Machine Learning Blog

OCTOBER 4, 2023

Train an ML model on the preprocessed images, using a supervised learning approach to teach the model to distinguish between different skin types. On the Automatic Detection and Classification of Skin Cancer Using Deep Transfer Learning. 2022 Jun 30;22(13):4963. Citation [1]Fraiwan M, Faouri E. Sensors (Basel).

ML 115

ML ML AWS Natural Language Processing 115

The MLOps Blog

MARCH 21, 2023

” — Isaac Vidas , Shopify’s ML Platform Lead, at Ray Summit 2022 Monitoring Monitoring is an essential DevOps practice, and MLOps should be no different. It is very easy for a data scientist to use Python or R and create machine learning models without input from anyone else in the business operation. . Model registry.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69