Flipboard

APRIL 17, 2025

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Model Serving team is working to push the boundaries of natural language processing and AI capabilities for enterprise applications.

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PyImageSearch

SEPTEMBER 23, 2024

Home Table of Contents Deploying a Vision Transformer Deep Learning Model with FastAPI in Python What Is FastAPI? You’ll learn how to structure your project for efficient model serving, implement robust testing strategies with PyTest, and manage dependencies to ensure a smooth deployment process. Testing main.py

Deep Learning 62

Deep Learning Deep Learning Python Natural Language Processing 62

Dataconomy

APRIL 25, 2023

Reminder : If you’re not familiar with ChatGPT, it is a groundbreaking language model developed by OpenAI based on the highly advanced GPT architecture. Since its release in November 2021, ChatGPT has amassed millions of users and widespread media coverage, greatly increasing OpenAI’s valuation.

Artificial Intelligence 173

Artificial Intelligence Artificial Intelligence Natural Language Processing AI 173

Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. Evolution of NLP Models To understand the full impact of the above evolutionary process.

Natural Language Processing 98

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. Founded in 2021, ThirdAI Corp. is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning.

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Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

Natural Language Processing 96

Natural Language Processing ML ML Support Vector Machines 96

AssemblyAI

MARCH 21, 2023

Introduction Graph data is everywhere in the world: any system consisting of entities and relationships between them can be represented as a graph. PinSage is able to predict in novel ways which visual concepts that users have found interesting can map to new things they might appeal to them.

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AWS Machine Learning Blog

OCTOBER 5, 2023

He focuses on developing scalable machine learning algorithms. His research interests are in the area of natural language processing, explainable deep learning on tabular data, and robust analysis of non-parametric space-time clustering. an AI start-up, and worked as the CEO and Chief Scientist in 2019–2021.

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AWS Machine Learning Machine Learning Deep Learning 130

Hacker News

MARCH 25, 2022

They’re driving a wave of advances in machine learning some have dubbed transformer AI. Stanford researchers called transformers “foundation models” in an August 2021 paper because they see them driving a paradigm shift in AI. Transformers Replace CNNs, RNNs. Along the way, researchers found larger transformers performed better.

Machine Learning 182

Machine Learning Machine Learning Database AI 182

Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. All pharma giants, including Bayer, AstraZeneca, Takeda, Sanofi, Merck, and Pfizer, have stepped up spending in the hope to create new-age AI solutions that will bring cost efficiency, speed, and precision to the process.

AI 139

AI AI Deep Learning Deep Learning 139

Flipboard

JULY 10, 2023

Figure 4: Architecture of fully connected autoencoders (source: Amor, “Comprehensive introduction to Autoencoders,” ML Cheat Sheet , 2021 ). Figure 5: Architecture of Convolutional Autoencoder for Image Segmentation (source: Bandyopadhyay, “Autoencoders in Deep Learning: Tutorial & Use Cases [2023],” V7Labs , 2023 ).

Deep Learning 132

Deep Learning Deep Learning Machine Learning Machine Learning 132

ODSC - Open Data Science

APRIL 3, 2023

Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. Her main research interests are in machine learning for large-scale language understanding and text semantics. Euro) in 2021. Don’t worry, you’re not alone! Iryna Gurevych.

Natural Language Processing 117

Natural Language Processing Machine Learning Machine Learning Data Science 117

Mlearning.ai

JUNE 14, 2023

Learning LLMs (Foundational Models) Base Knowledge / Concepts: What is AI, ML and NLP Introduction to ML and AI — MFML Part 1 — YouTube What is NLP (Natural Language Processing)? — YouTube YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1)

Natural Language Processing 52

Natural Language Processing ML ML Support Vector Machines 52

Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. This trend started in 2021, with OpenAI Codex , a GPT-3 based tool.

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AI AI Data Science Deep Learning 130

NYU Center for Data Science

JULY 21, 2023

2021, is a nexus in another way, too. But they point out that the deeper reason for the field’s explosion is the deep learning paradigm we’ve been in for the past decade, which has allowed researchers from disparate specialties to talk to each other. Similar overhead was required to do research in natural language processing.

Data Science 98

Data Science Deep Learning Deep Learning Artificial Intelligence 98

AWS Machine Learning Blog

SEPTEMBER 12, 2023

By implementing a modern natural language processing (NLP) model, the response process has been shaped much more efficiently, and waiting time for clients has been reduced tremendously. In 2021, Scalable Capital experienced a tenfold increase of its client base, from tens of thousands to hundreds of thousands.

Data Science 133

Data Science Data Scientist AWS ML 133

IBM Journey to AI blog

JULY 11, 2023

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. One use case example is out of the University of Hawaii, where a research team found that deploying deep learning AI technology can improve breast cancer risk prediction.

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AI AI Deep Learning Deep Learning 69

AWS Machine Learning Blog

NOVEMBER 14, 2023

Instruction fine-tuning Instruction tuning is a technique that involves fine-tuning a language model on a collection of natural language processing (NLP) tasks using instructions. He focuses on developing scalable machine learning algorithms. In this section, we provide examples of two types of fine-tuning.

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Python Natural Language Processing Machine Learning Machine Learning 131

Heartbeat

JULY 6, 2023

The process of locating and identifying objects of interest in an image or video is part of the object detection method, a popular computer vision technique. Object detection is typically achieved through the use of deep learning models, particularly Convolutional Neural Networks (CNNs). What is the Swin Transformer?

Deep Learning 59

Deep Learning Deep Learning Natural Language Processing Supervised Learning 59

DrivenData Labs

DECEMBER 10, 2023

He also boasts several years of experience with Natural Language Processing (NLP). Itay possesses experience in machine learning, deep learning, and full stack development. He graduated from Harvard in 2021 with a BA in Computer Science and a minor in Philosophy.

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AI AI Natural Language Processing Artificial Intelligence 147

The MLOps Blog

MARCH 6, 2025

State space models for natural language processing State Space Models (SSMs), long established in time series analysis, have been utilized as trainable sequence models for decades. Around 2020, their ability to efficiently handle long sequences spurred significant progress in adapting them for natural language processing (NLP).

Natural Language Processing 59

Natural Language Processing Algorithm Deep Learning Deep Learning 59

Mlearning.ai

APRIL 10, 2023

Supervised machine learning (such as SVM or GradientBoost) and deep learning models (such as CNN or RNN) can promise far superior performances when comparing them to clustering models however this can come at a greater cost with marginal rewards to the environment, end-user, and product owner of such technology. Wang and H.

Clustering 52

Clustering Internet of Things Algorithm Machine Learning 52

IBM Journey to AI blog

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021.

AI 70

AI AI Machine Learning Machine Learning 70

Mlearning.ai

MARCH 9, 2023

Recent studies have demonstrated that deep learning-based image segmentation algorithms are vulnerable to adversarial attacks, where carefully crafted perturbations to the input image can cause significant misclassifications (Xie et al., Towards deep learning models resistant to adversarial attacks. 2018; Sitawarin et al.,

Deep Learning 52

Deep Learning Deep Learning Machine Learning Algorithm 52

Snorkel AI

MAY 4, 2023

Details at a glance: Date: June 7 – 8, 2023 Time: 8am – 2:30pm PT / each day Format: Virtual and free Register for free today Data-centric AI: vital now more than ever AI has experienced remarkable advancements in recent months, driven by innovations in machine learning, particularly deep learning techniques.

AI 52

AI AI Natural Language Processing ML 52

Snorkel AI

MAY 4, 2023

Details at a glance: Date: June 7 – 8, 2023 Time: 8am – 2:30pm PT / each day Format: Virtual and free Register for free today Data-centric AI: vital now more than ever AI has experienced remarkable advancements in recent months, driven by innovations in machine learning, particularly deep learning techniques.

AI 52

AI AI Natural Language Processing ML 52

Dataconomy

MARCH 7, 2023

AI chatbots have been waiting for you for a while When we talk about AI chat, we mean a conversation between a human and a chatbot that uses natural language processing to simulate human conversation. Its replies are a hybrid of pre-programmed scripts and machine-learning algorithms. Are you ready to start an AI chat?

Artificial Intelligence 91

Artificial Intelligence Artificial Intelligence AI AI 91

AWS Machine Learning Blog

FEBRUARY 25, 2025

In 2021, Applus+ IDIADA , a global partner to the automotive industry with over 30 years of experience supporting customers in product development activities through design, engineering, testing, and homologation services, established the Digital Solutions department. Model architecture The model consists of three densely connected layers.

Algorithm 85

Algorithm Machine Learning Machine Learning K-nearest Neighbors 85

Mlearning.ai

JUNE 6, 2023

Photo by Google DeepMind on Unsplash Introduction Large language models, or LLMs, are powerful deep learning algorithms that are capable of a range of tasks, including recognizing, summarizing, translating, predicting, and generating text and other content. Energy consumption of some large deep learning models.

Hypothesis Testing 52

Hypothesis Testing Deep Learning Deep Learning Natural Language Processing 52

AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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The MLOps Blog

APRIL 5, 2023

For example, Modularizing a natural language processing (NLP) model for sentiment analysis can include separating the word embedding layer and the RNN layer into separate modules, which can be packaged and reused in other NLP models to manage code and reduce duplication and computational resources required to run the model.

ML 69

ML ML Machine Learning Machine Learning 69

Explosion

DECEMBER 30, 2020

Jan 28: 2020 started with a big release: the alpha of Thinc v8.0 , a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow or MXNet. Here’s a look back at what we’ve been up to.

Python 52

Python Machine Learning Machine Learning Natural Language Processing 52

DataRobot Blog

MARCH 9, 2022

The company was acquired by DataRobot in 2021. This is one of the reasons why detecting sentiment from natural language (NLP or natural language processing ) is a surprisingly complex task. This article was originally published at Algorithimia’s website. Find out more about DataRobot MLOps here.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Pickl AI

FEBRUARY 2, 2023

The global AI in retail is expected to swell from under $5 billion in 2021 to more than $31 billion by 2028. The company has also developed an AI copywriting product that leverages deep learning models and natural language processing.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Mlearning.ai

FEBRUARY 15, 2023

Introduction In natural language processing, text categorization tasks are common (NLP). Deep learning models with multilayer processing architecture are now outperforming shallow or standard classification models in terms of performance [5]. Foundations of Statistical Natural Language Processing [M].

Cross Validation 52

Cross Validation Decision Trees Algorithm Natural Language Processing 52

DrivenData Labs

DECEMBER 11, 2024

Deep learning - It is hard to overstate how deep learning has transformed data science. In tandem, software for deep learning has grown into a rich and mature ecosystem with PyTorch and TensorFlow as the keystones, along with an impressive host of tools, libraries, pre-trained models and datasets that accelerate progress.

Data Science 147

Data Science Data Scientist Machine Learning Machine Learning 147

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. The positional encoding allows the model to understand the sequential nature of language.

Database 52

Database Deep Learning Deep Learning Data Scientist 52