Marktechpost

AUGUST 6, 2023

Meta released two models in June and October of 2017: MusicGen and AudioGen. The post Meta AI Open-Sources AudioCraft: A PyTorch Library for Deep Learning Research on Audio Generation appeared first on MarkTechPost. MusicGen and AudioGen can generate music and sound effects from text based on their respective training sets.

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Deep Learning AI AI Responsible AI 98

Unite.AI

JUNE 22, 2023

Two years later, in 2011, I co-founded Crashlytics, a mobile crash reporting tool which was acquired by Twitter in 2013 and then again by Google in 2017. At the second tier, Digits AI leverages custom-trained, proprietary deep-learning models to understand the unique attributes of small-business finance and double-entry accounting.

Large Language Models 325

Large Language Models Machine Learning ChatGPT Deep Learning 325

John Snow Labs

JUNE 2, 2023

Spark NLP’s deep learning models have achieved state-of-the-art results on sentiment analysis tasks, thanks to their ability to automatically learn features and representations from raw text data. During training, the model learns to identify patterns and features that are indicative of a certain sentiment.

Deep Learning 76

Deep Learning NLP Convolutional Neural Networks Neural Network 76

Unite.AI

APRIL 2, 2024

” Founded in 2017 in Israel, Hailo has rapidly ascended to a prominent position in the AI chip industry, serving over 300 customers globally. These processors, redefining conventional computer architecture, facilitate real-time deep learning tasks with unmatched efficiency.

Chatbots 173

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Marktechpost

APRIL 24, 2024

Deep reinforcement learning (Deep RL) combines reinforcement learning (RL) and deep learning. Deep RL has achieved human-level or superhuman performance for many two-player or multi-player games. 2013 DeepMind showed impressive learning results using deep RL to play Atari video games.

Neural Network 121

Neural Network Deep Learning Algorithm Robotics 121

Unite.AI

MAY 8, 2024

He began his career at Yandex in 2017, concurrently studying at the Yandex School of Data Analysis. There, I learned a lot about more advanced machine learning algorithms and built my intuition. The most crucial point during this process was when I learned about neural networks and deep learning.

Machine Learning 298

Machine Learning Software Engineer Large Language Models Data Analysis 298

Explosion

JANUARY 12, 2018

spaCy In 2017 spaCy grew into one of the most popular open-source libraries for Artificial Intelligence. Highlights included: Developed new deep learning models for text classification, parsing, tagging, and NER with near state-of-the-art accuracy. spaCy’s Machine Learning library for NLP in Python. Released Prodigy v1.0,

NLP 52

NLP Neural Network Machine Learning Python 52

Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. Recent advancements in hardware such as Nvidia H100 GPU, have significantly enhanced computational capabilities. Subsequently, some RNNs were also trained using GPUs, though they did not yield good results.

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Unite.AI

JULY 29, 2024

It uses deep learning models to translate entire sentences as a whole and at once, giving more fluent and accurate translations. This hidden state serves as a sort of a memory that captures the context of the preceding inputs, letting the model learn dependencies over time.

Neural Network 264

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Flipboard

MARCH 13, 2023

OpenAI has pioneered a technique to shape its models’ behaviors using something called reinforcement learning with human feedback (RLHF). Having a human periodically check on the reinforcement learning system’s output and give feedback allows reinforcement learning systems to learn even when the reward function is hidden. “I’m

ChatGPT 172

ChatGPT Large Language Models Neural Network Deep Learning 172

Towards AI

NOVEMBER 16, 2024

In particular, min-max optimisation is curcial for GANs [2], statistics, online learning [6], deep learning, and distributed computing [7]. 214–223, 2017.[4] Vladu, “Towards deep learning models resistant to adversarial attacks,” arXivpreprint arXiv:1706.06083, 2017.[5] Makelov, L. Schmidt, D.

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Algorithm ML Deep Learning Machine Learning 105

Towards AI

NOVEMBER 18, 2024

When I started learning about machine learning and deep learning in my pre-final year of undergrad in 2017–18, I was amazed by the potential of these models. Image by ChatGPT You know how in sci-fi movies, AI systems seamlessly collaborate to solve complex problems? This always used to fascinate me as a kid.

OpenAI 105

OpenAI Data Scientist Deep Learning Machine Learning 105

Towards AI

JUNE 6, 2023

Now it’s possible to have deep learning models with no limitation for the input size. unsplash Attention-based transformers have revolutionized the AI industry since 2017. Last Updated on June 8, 2023 by Editorial Team Author(s): Reza Yazdanfar Originally published on Towards AI.

Neural Network 98

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Viso.ai

MARCH 26, 2024

The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. described this model in the seminal paper titled “Attention is All You Need” in 2017. Vaswani et al. without conventional neural networks.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Unite.AI

NOVEMBER 14, 2024

Founded in 2017, DeepL today has over 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. When I started the company back in 2017, we were at a turning point with deep learning. It had really started to gain traction, which inspired the name of our company.

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Neural Network LLM Large Language Models AI Modeling 130

PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

Marktechpost

SEPTEMBER 17, 2024

Large-scale deep learning models, especially transformer-based architectures, have grown exponentially in size and complexity, reaching billions to trillions of parameters. Recent studies have reviewed language models, optimization techniques, and acceleration methods for large-scale deep-learning models and LLMs.

Large Language Models 111

Large Language Models LLM NLP Deep Learning 111

Flipboard

MARCH 27, 2023

torch.compile Over the last few years, PyTorch has evolved as a popular and widely used framework for training deep neural networks (DNNs). Since the launch of PyTorch in 2017, it has strived for high performance and eager execution. In this series, you will learn about Accelerating Deep Learning Models with PyTorch 2.0.

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Marktechpost

OCTOBER 25, 2024

It’s built on top of popular deep learning frameworks like PyTorch and TensorFlow, making it accessible to a broad audience of developers and researchers. NLP Tutorial is a comprehensive guide for deep learning researchers, providing implementations of various NLP models using PyTorch.

Natural Language Processing 116

Natural Language Processing NLP Deep Learning Python 116

Marktechpost

MARCH 25, 2024

These models use deep learning techniques, particularly neural networks, to process and produce text that mimics human-like understanding and responses. LLMs Core: Transformer Architecture The transformer architecture, introduced in 2017, is at the core of LLMs. What are Large Language Models?

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Viso.ai

DECEMBER 3, 2023

The recent deep learning algorithms provide robust person detection results. However, deep learning models such as YOLO that are trained for person detection on a frontal view data set still provide good results when applied for overhead view person counting ( TPR of 95%, FPR up to 0.2% ).

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

Software Engineer 98

Software Engineer Machine Learning Neural Network Artificial Intelligence 98

Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. Template Matching —  Video Tutorial , Written Tutorial 12.

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Computer Vision Deep Learning Python Neural Network 98

IBM Journey to AI blog

JULY 15, 2024

A brief history of scaling “Bigger is better” stems from the data scaling laws that entered the conversation with a 2012 paper by Prasanth Kolachina applying scaling laws to machine learning. In 2017, Hestness et al. displayed that deep learning scaling is predictable empirically too.

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Large Language Models Generative AI Deep Learning AI Chatbots 131

Heartbeat

MARCH 14, 2023

Some of the methods used for scene interpretation include Convolutional Neural Networks (CNNs) , a deep learning-based methodology, and more conventional computer vision-based techniques like SIFT and SURF. A combination of simulated and real-world data was used to train the system, enabling it to generalize to new objects and tasks.

Computer Vision 97

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Explosion

FEBRUARY 12, 2017

In this post, I'll explain how to solve text-pair tasks with deep learning, using both new and established tips and technologies. Quora recently released the first dataset from their platform: a set of 400,000 question pairs, with annotations indicating whether the questions request the same information.

Deep Learning 40

Deep Learning Explainability 40

AssemblyAI

SEPTEMBER 4, 2023

” In fact, when our company was accepted into Y Combinator back in 2017, one of the first questions the YC partners asked us was “What’s your WER?” In the field of Automatic Speech Recognition, the Word Error Rate has become the de facto standard for measuring how accurate a speech recognition model is.

Machine Learning 245

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AssemblyAI

MAY 3, 2023

This process of adapting pre-trained models to new tasks or domains is an example of Transfer Learning , a fundamental concept in modern deep learning. Transfer learning allows a model to leverage the knowledge gained from one task and apply it to another, often with minimal additional training.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Towards AI

DECEMBER 9, 2024

In deep learning, we have studied various types of RNN structures i.e. One to One, Many to One, One to Many and Many to Many. Stage 3 Transformers Architecture From 20152017 there were various researches done to optimise the performance of Attention based encoder-decoder architecture but it was in 2017 when a […]

Large Language Models 105

Large Language Models Neural Network Deep Learning ChatGPT 105

Unite.AI

NOVEMBER 20, 2024

Founded in 2017, XCath is a startup focused on advancements in medical robotics, nanorobotics, and materials science. In the last few years, we've witnessed a wave of supervised deep learning models receiving FDA approval and are just now starting to fulfill their promise of transforming healthcare.

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Defined.ai blog

JANUARY 29, 2023

Generative Adversarial Networks (GANs) are a type of deep learning algorithm that’s been gaining popularity due to their ability to generate high-quality, realistic images and other types of data. As such, Generative Adversarial Networks are invaluable deep learning algorithms with almost endless beneficial potential.

Deep Learning 95

Deep Learning Computer Vision Chatbots ML 95

Explosion

FEBRUARY 12, 2017

In this post, I’ll explain how to solve text-pair tasks with deep learning, using both new and established tips and technologies. The SNLI dataset is over 100x larger than previous similar resources, allowing current deep-learning models to be applied to the problem.

Neural Network 40

Neural Network Deep Learning Natural Language Processing NLP 40

Viso.ai

DECEMBER 19, 2023

Image Classification Using Machine Learning CNN Image Classification (Deep Learning) Example applications of Image Classification Let’s dive deep into it! It uses AI-based deep learning models to analyze images with results that for specific tasks already surpass human-level accuracy (for example, in face recognition ).

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Marktechpost

NOVEMBER 12, 2023

Between 2017 and 2021, the development of Neural MMO brought forth influential environments like Griddly, NetHack, and MineRL, which were compared in great detail in a previous publication. The key enhancement involves challenging researchers to train agents capable of generalizing to unseen tasks, maps, and opponents. Version 2.0

AI 133

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Mlearning.ai

MARCH 31, 2023

In this story, we talk about how to build a Deep Learning Object Detector from scratch using TensorFlow. The output layer is set to use Softmax Activation Function as usual in Deep Learning classifiers. That time, tensorflow/pytorch and the Deep Learning technology were not ready yet.

Deep Learning 98

Deep Learning Machine Learning Python Categorization 98

Viso.ai

DECEMBER 10, 2023

Image recognition with deep learning is a key application of AI vision and is used to power a wide range of real-world use cases today. I n past years, machine learning, in particular deep learning technology , has achieved big successes in many computer vision and image understanding tasks.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Towards AI

APRIL 19, 2024

Amazon (AWS) 👉Industry domain: Online retail and web services provider 👉Location: Over 175 Amazon fulfillment centers globally 👉Year founded: 1994 👉Key Products developed: Amazon Bedrock, Q, Code Whisperer, Sage Maker 👉Benefits: Fully managed generative AI service options, AWS free tier for experimentation 7.

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Generative AI Artificial Intelligence Artificial Intelligence NLP 110