Unite.AI

DECEMBER 19, 2023

During the training phase, we add “noise,” which changes the raw data from the files we feed into our algorithm, in order to automatically generate slight “mutations,” which are fed in each training cycle during our training phase. From there, we validate and classify data ourselves with algorithms we developed internally.

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Google Research AI blog

FEBRUARY 10, 2023

Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Hence, developing algorithms with improved efficiency, performance and speed remains a high priority as it empowers services ranging from Search and Ads to Maps and YouTube. You can find other posts in the series here.)

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Algorithm Neural Network Auto-classification ML 110

Pickl AI

MARCH 10, 2023

Furthermore, it ensures that data is consistent while effectively increasing the readability of the data’s algorithm. One way to solve Data Science’s challenges in Data Cleaning and pre-processing is to enable Artificial Intelligence technologies like Augmented Analytics and Auto-feature Engineering.

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AWS Machine Learning Blog

MARCH 15, 2024

Many organizations are implementing machine learning (ML) to enhance their business decision-making through automation and the use of large distributed datasets. To mitigate these risks, the FL model uses personalized training algorithms and effective masking and parameterization before sharing information with the training coordinator.

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AWS Machine Learning Blog

DECEMBER 5, 2023

The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. This post illustrates how you can automate and simplify metadata generation using custom models by Amazon Comprehend. Custom classification is a two-step process.

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Metadata Auto-classification Auto-complete Content Enrichment 98

ODSC - Open Data Science

APRIL 17, 2023

Without a deep understanding of underlying algorithms and techniques, novices can dip their toes in the waters of machine learning because PyCaret takes care of much of the heavy lifting for them. Like PyCaret, some aspects are automated such as feature engineering, hyperparameter tuning, and model selection.

Data Science 59

Data Science Auto-classification Machine Learning Data Scientist 59

Dlabs.ai

SEPTEMBER 25, 2020

They’re actively creating the future of automation in what’s known as Robotic Process Automation 2.0. Source: Grand View Research What is Robotic Process Automation (RPA)? let’s first explain basic Robotic Process Automation. used Robotic Process Automation 2.0 But that’s not all they’re doing. Happy reading!

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Automation Auto-classification Robotics Auto-complete 52

Snorkel AI

OCTOBER 31, 2023

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification Guha et al. Additionally, the researchers share a simple counterfactual fairness correction algorithm. A case for reframing automated medical image classification as segmentation Hooper et al.

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AI Researcher AI Research Auto-classification Large Language Models 59

AWS Machine Learning Blog

OCTOBER 6, 2023

For instance, in ecommerce, image-to-text can automate product categorization based on images, enhancing search efficiency and accuracy. CLIP model CLIP is a multi-modal vision and language model, which can be used for image-text similarity and for zero-shot image classification.

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Generative AI Prompt Engineer Prompt Engineering Computer Vision 97

The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics.

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AWS Machine Learning Blog

JUNE 23, 2023

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code. Choose Add step.

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Auto-complete Auto-classification ML Data Quality 75

Pickl AI

JANUARY 23, 2023

People don’t even need the in-depth knowledge of the various machine learning algorithms as it contains pre-built libraries. This framework can perform classification, regression, etc., Most of the organizations make use of Caffe in order to deal with computer vision and classification related problems.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52

The Stanford AI Lab Blog

MARCH 28, 2022

[Summary] tl;dr: A tremendous amount of effort has been poured into training AI algorithms to competitively play games that computers have traditionally had trouble with, such as the retro games published by Atari, Go, DotA, and StarCraft II. Can the same algorithms that master Atari games help us grade these game assignments?

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Algorithm Auto-classification Automation Auto-complete 52

AWS Machine Learning Blog

APRIL 20, 2023

Amazon SageMaker Inference Recommender is a capability of Amazon SageMaker that reduces the time required to get ML models in production by automating load testing and model tuning across SageMaker ML instances. We train an XGBoost model for a classification task on a credit card fraud dataset. large", "ml.m5.xlarge",

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ML Auto-classification Python Auto-complete 79

Snorkel AI

JANUARY 12, 2023

Language complexity: Some languages, such as Chinese and Arabic, have complex characters and scripts that can make them more difficult to process using NLP algorithms. For text classification, however, there are many similarities. Snorkel Flow’s “Auto-Suggest Key Terms” feature works on any language with “white-space” tokenization.

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BERT Natural Language Processing NLP Auto-classification 52

AWS Machine Learning Blog

JULY 31, 2023

In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. Cost-sensitive classification – In some applications, the cost of misclassification for different classes can be different.

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Auto-classification Machine Learning ML Auto-complete 80

The MLOps Blog

JUNE 6, 2023

Efficiency: Pipelines automate repetitive tasks, reducing manual intervention and saving time. Experimentation: With a structured pipeline, it’s easier to track experiments and compare different models or algorithms. Model Training: The preprocessed data is fed into the chosen ML algorithm to train the model. Build the pipeline.

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ML Machine Learning Auto-classification Auto-complete 52

The MLOps Blog

MARCH 12, 2024

Monitoring Monitor model performance for data drift and model degradation, often using automated monitoring tools. Feedback loops: Use automated and human feedback to improve prompt design continuously. Models are part of chains and agents, supported by specialized tools like vector databases.

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Prompt Engineer Prompt Engineering LLM Large Language Models 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. What is Llama 2 Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. Default is 5.

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AWS Machine Learning Blog

MARCH 2, 2023

Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. W&B Sweeps will automate this kind of exploration.

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BERT Deep Learning Metadata Auto-complete 75

Snorkel AI

FEBRUARY 27, 2023

Take that canonical spam classification example: if you see the phrase wire transfer , maybe it’s more likely to be spam. Rather than just throwing it away, we can use it to auto-generate labels and train machine-learning models that can then learn to extend beyond what’s in these expansive but sometimes brittle knowledge bases.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Snorkel AI

FEBRUARY 27, 2023

Take that canonical spam classification example: if you see the phrase wire transfer , maybe it’s more likely to be spam. Rather than just throwing it away, we can use it to auto-generate labels and train machine-learning models that can then learn to extend beyond what’s in these expansive but sometimes brittle knowledge bases.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

AWS Machine Learning Blog

JANUARY 31, 2024

In the first part of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Specifically, the JPEG algorithm operates on an 8×8 pixel grid.

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Computer Vision Auto-complete Deep Learning Auto-classification 90

AWS Machine Learning Blog

JANUARY 26, 2023

SageMaker provides automated model tuning , which manages the undifferentiated heavy lifting of provisioning and managing compute infrastructure to run several iterations and select the optimized model candidate from training. Best Egg trains multiple credit models using classification and regression algorithms.

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ML Auto-complete Data Scientist Automation 73

AWS Machine Learning Blog

JANUARY 17, 2024

Llama 2 is an auto-regressive generative text language model that uses an optimized transformer architecture. As a publicly available model, Llama 2 is designed for many NLP tasks such as text classification, sentiment analysis, language translation, language modeling, text generation, and dialogue systems.

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AWS Machine Learning Blog

JANUARY 9, 2023

The base models can be diverse and trained by different algorithms. For example, an image classification use case may use three different models to perform the task. The scatter-gather pattern allows you to combine results from inferences run on three different models and pick the most probable classification model.

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ML Auto-complete Auto-classification Deep Learning 74

Topbots

JUNE 29, 2023

After parsing a question, an algorithm encodes it into a structured logical form in the query language of choice, such as SQL. High-quality , so that the Text2SQL algorithm does not have to deal with excessive noise (inconsistencies, empty values etc.) in the data. section “Enriching the prompt with database information”).

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Auto-complete Algorithm Data Scientist Auto-classification 52