Towards AI

JULY 21, 2023

GitHub: nidhaloff/deep_translator A flexible FREE and UNLIMITED tool to translate between different languages in a simple way using multiple translators… github.com Quantize Your Models ONNX runtime support for the Transformers library now can incorporate quantization! Revival Welcome back, and what a week?!?! Time to say goodbye to Summer.

NLP 77

NLP Neural Network BERT Natural Language Processing 77

Marktechpost

JULY 13, 2023

The research group is asserting that advancements in current neural network technology could enable the complete distributed neural execution of software virtualization and logical circuits. The research team from the University of Pennsylvania developed two frameworks named state neural programming (SNP) and dynamic neural programming (DNP).

Neural Network 98

Neural Network Artificial Intelligence Artificial Intelligence AI Tools 98

AWS Machine Learning Blog

FEBRUARY 1, 2023

Although larger models tend to be more powerful, training such models requires significant computational resources. Even with the use of advanced distributed training libraries like FSDP and DeepSpeed, it’s common for training jobs to require hundreds of accelerator devices for several weeks or months at a time.

Deep Learning 92

Deep Learning BERT Neural Network ML 92

Towards AI

MARCH 23, 2023

It is generated using different techniques, some of which will be discussed in this blog. Highly regulated industries that can’t use PII to train their model, so they generate something similar to the original data rather than using the actual data. In contrast, the positive samples do not correspond to this data distribution.

Python 98

Python Deep Learning Neural Network Machine Learning 98

AWS Machine Learning Blog

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Generative AI 125

Generative AI LLM ML AI 125

ODSC - Open Data Science

MARCH 22, 2023

In a blog post by Team PyTorch, the announcement of the release of PyTorch 2.0, the popular open-source machine learning framework, has been made official. Furthermore, there are several other beta and prototype enhancements aimed at optimizing inferences, performance, and training on both GPUs and CPUs.

Machine Learning 52

Machine Learning Data Science Data Scientist AI 52

Pickl AI

SEPTEMBER 18, 2023

These algorithms learn from massive datasets and then generate fresh material that resembles the training data. Generative Adversarial Networks (GANs): GANs consist of two neural networks, a generator, and a discriminator, which compete with each other during training. They model the joint probability distribution of the data.

Generative AI 52

Generative AI Neural Network Artificial Intelligence Artificial Intelligence 52

Pickl AI

JUNE 18, 2023

Let’s find out from the blog! Hadoop is a framework that makes use of distributed storage and parallel processing in order to store and manage big data. Advantages of Hadoop in Big Data Hadoop is a widely used open-source framework for processing and storing large volumes of data in a distributed computing environment.

Big Data 52

Big Data Machine Learning Data Quality Data Analysis 52

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this case, we are developing a forecasting model, so there are two main steps to complete: Train the model to make predictions using historical data. Axfood is Sweden’s second largest food retailer, with over 13,000 employees and more than 300 stores. We decided to put in a joint effort to build a prototype on a best practice for MLOps.

Machine Learning 115

Machine Learning DevOps Data Quality Data Scientist 115

AWS Machine Learning Blog

FEBRUARY 23, 2023

These systems require petabytes of data and thousands of compute units (vCPUs and GPUs) to train. DNN training methods and design AV systems are built with deep neural networks. The difference is based on how the DNNs are trained and the system boundary. When it comes to the design of an AV system, there are two main approaches.

Automation 93

Automation Neural Network Machine Learning Data Scientist 93

ODSC - Open Data Science

JANUARY 18, 2024

In this blog post, we will discuss how you can become a data engineer if you are a data scientist. EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

Data Science 52

Data Science ETL Data Scientist Software Engineer 52

Bugra Akyildiz

FEBRUARY 10, 2024

Limited resources: Address memory and computational constraints for training and running GNNs on large-scale graphs. Generalizability: Develop GNN models that can adapt to unseen graphs and tasks beyond the training data. Keras integration: Build and train GNNs seamlessly within the familiar Keras interface of TensorFlow.

Neural Network 59

Neural Network Large Language Models LLM Chatbots 59

Heartbeat

JUNE 5, 2023

Without proper tracking, optimization, and collaboration tools, ML practitioners can quickly become overwhelmed and lose track of their progress. Comet’s integrations are modular and customizable, enabling teams to incorporate new approaches and tools to their ML platforms. Here are some of the most popular frameworks that Comet.ml

ML 59

ML Machine Learning Natural Language Processing Data Scientist 59

AWS Machine Learning Blog

MARCH 6, 2024

Similarly, pLMs are pre-trained on large protein sequence databases using unlabeled, self-supervised learning. These tools don’t replace human scientific expertise, but they have the potential to speed up pre-clinical development and trial design. This means that it can take a long time to train them to sufficient accuracy.

Neural Network 95

Neural Network Large Language Models Machine Learning ML 95

AWS Machine Learning Blog

MAY 10, 2023

Today, data scientists who are training deep learning models need to identify and remediate model training issues to meet accuracy targets for production deployment, and require a way to utilize standard tools for debugging model training.

Data Scientist 73

Data Scientist Deep Learning ML Python 73

Towards AI

JULY 19, 2023

GitHub: nidhaloff/deep_translator A flexible FREE and UNLIMITED tool to translate between different languages in a simple way using multiple translators… github.com Quantize Your Models ONNX runtime support for the Transformers library now can incorporate quantization! Revival Welcome back, and what a week?!?! Time to say goodbye to Summer.

NLP 40

NLP Neural Network BERT Natural Language Processing 40

Heartbeat

JANUARY 29, 2024

With Comet's integrated suite of tools, we will perform a meta-learning task using the Omniglot dataset. Imagine an AI system that becomes proficient in many tasks through extensive training on each specific problem and a higher-order learning process that distills valuable insights from previous learning endeavors.

Machine Learning 52

Machine Learning Neural Network Natural Language Processing Algorithm 52

Viso.ai

DECEMBER 19, 2023

AIoT , the combination of AI and IoT, enables the development of highly scalable systems that leverage machine learning for distributed data analysis. Video frame with object detection to recognize the pre-trained classes “person” and “bicycle.” It’s a powerful all-in-one solution for AI vision.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Topbots

MAY 17, 2023

According to the paper summary, “the essential idea is to systematically and slowly destroy the structure in a data distribution through an iterative forward diffusion process. DDPMs leverage the denoising score matching framework, which defines a distribution over images by a forward diffusion process that transforms images into noise.

Neural Network 97

Neural Network Computer Vision OpenAI Machine Learning 97

Heartbeat

FEBRUARY 27, 2023

Data augmentation: GANs can be used to produce extra training data for deep learning models, enabling the development of models with greater sturdiness. DRL agents may now be trained on high-dimensional observations like images and videos thanks to the usage of deep neural networks as function approximators.

Machine Learning 52

Machine Learning Deep Learning Robotics Neural Network 52

Heartbeat

SEPTEMBER 28, 2023

Model stacking involves training multiple machine learning models and using another model to combine their predictions to improve accuracy. Try CometLLM, a free, open-source tool to log, visualize, and search your LLM prompts and metadata. What is Customer Churn? — Credit: Credit: KPI Max II. The Project and Dataset 1.

Machine Learning 52

Machine Learning Categorization ML Data Scientist 52

The MLOps Blog

FEBRUARY 22, 2024

Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. The key to continual learning success is identifying the objective, choosing the right tools, selecting a suitable model architecture, incrementally improving the hyperparameters, and using all available data.

Continuous Learning 59

Continuous Learning Machine Learning ML Neural Network 59

TensorFlow

MARCH 10, 2023

While Vodafone’s AI Booster Platform – built on top of Google Cloud’s Vertex AI – has provided a huge step to achieve that, this blog post will dive into how TensorFlow Data Validation (TFDV) helps advance data governance at scale. For Vodafone, it is key to rapidly build and deploy ML use cases at scale in a highly regulated industry.

Data Drift 52

Data Drift ML Engineer Data Scientist Machine Learning 52

Pickl AI

JULY 18, 2023

However, with libraries like NumPy, Pandas, and Matplotlib, Python offers robust tools for data manipulation, analysis, and visualization. Additionally, its natural language processing capabilities and Machine Learning frameworks like TensorFlow and scikit-learn make Python an all-in-one language for Data Science.

Data Science 52

Data Science Data Scientist Python Business Intelligence 52

Explosion

JANUARY 29, 2023

We’ve developed a new end-to-end neural coref component for spaCy , improved the speed of our CNN pipelines up to 60%, and published new pre-trained pipelines for Finnish, Korean, Swedish and Croatian. The release includes an experimental English coref pipeline and a sample project that shows how to train a coref model for spaCy.

NLP 59

NLP Explainability Python Data Scientist 59

Marktechpost

JULY 19, 2023

A chatbot for taking notes, an editor for creating images from text, and a tool for summarising customer comments can all be made with a basic understanding of programming and a couple of hours. Many tools exist for identifying, validating, and monitoring model behaviors in ML evaluation systems.

Machine Learning 52

Machine Learning ML Python Metadata 52

The MLOps Blog

FEBRUARY 5, 2023

We will also get familiar with tools that can help record this data and further analyse it. There are many platforms and sources that generate this kind of data. In this article, we will go through the basics of streaming data, what it is, and how it differs from traditional data.

Machine Learning 72

Machine Learning Big Data Auto-complete Data Ingestion 72

AWS Machine Learning Blog

NOVEMBER 29, 2023

However, the increasing cost associated with training and fine-tuning these models poses a challenge for enterprises. This cost is primarily driven by the sheer volume of data used in training deep learning models. However, there is less focus today on the efficiency of the training data itself.

Deep Learning 85

Deep Learning Conversational AI Natural Language Processing Computer Vision 85

AWS Machine Learning Blog

MAY 25, 2023

OCX built Spectrum AI on AWS because AWS offered a wide range of tools, elastic computing, and an ML environment that would keep pace with evolving needs. OCX built Spectrum AI on AWS because AWS offered a wide range of tools, elastic computing, and an ML environment that would keep pace with evolving needs.

ML 65

ML Data Science Automation Software Development 65

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. This platform provides capabilities ranging from experimentation, data annotation, training, model deployments, and reusable templates.

Data Scientist 91

Data Scientist ML Data Science Automation 91

AWS Machine Learning Blog

NOVEMBER 15, 2023

One such breakthrough is the Segment Anything Model (SAM) by Meta AI, which has the potential to revolutionize object-level segmentation with zero-shot or few-shot training. Inspired by the LangChain framework for language models, we propose a visual chain to perform visual prompting by combining object detection models with SAM.

Prompt Engineer 92

Prompt Engineer Prompt Engineering Computer Vision Machine Learning 92

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. The following is a transcript of her presentation, edited lightly for readability.

AI 59

AI AI Neural Network Deep Learning 59

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. The following is a transcript of her presentation, edited lightly for readability.

AI 59

AI AI Neural Network Deep Learning 59

Heartbeat

OCTOBER 25, 2023

The advent of bioinformatics has revolutionized biological research by providing computational tools and techniques to analyze and interpret complex data. The advent of bioinformatics has revolutionized biological research by providing computational tools and techniques to analyze and interpret complex data.

Machine Learning 52

Machine Learning Data Scientist Convolutional Neural Networks Algorithm 52

Bugra Akyildiz

DECEMBER 18, 2022

Before going further, a new announcement for embeddings also came from OpenAI: openai.com/blog/new-and-i… nnIt is cross-modal, and it is 1/500th of the price of the old embedding model DaVinci. ","username":"bugraa","name":"Bugra

Neural Network 52

Neural Network ChatGPT Machine Learning Deep Learning 52

Heartbeat

MARCH 21, 2023

Overall, Time series models are a useful tool that can be used in various industries to evaluate and forecast data gathered over time, assisting businesses in making better decisions and optimizing performance. In this tutorial, we will go through steps on how to use Comet to monitor our time-series forecasting model.

Data Drift 59

Data Drift Machine Learning Data Scientist Data Analysis 59

Bugra Akyildiz

APRIL 20, 2024

Now, back to the original programming: Articles Pinterest wrote a blog post on generating SQL queries from text. Generative Recommenders We have recently open-sourced our next generation recommender system: Generative Recommender , check it out, give stars and fork if you are interested in contributing!

LLM 52

LLM Natural Language Processing NLP Big Data 52