Flipboard

JUNE 13, 2023

GitHub Copilot, Amazon CodeWhisperer, ChatGPT, Tabnine, and various other AI coding tools are quickly gaining traction, helping developers automate mundane tasks and freeing them up to work on more challenging problems. The auto-complete and auto-suggestions in Visual Studio Code are pretty good, too, without being annoying.

Generative AI 181

Generative AI Auto-complete Software Engineer AI 181

Marktechpost

JULY 18, 2023

GitHub Copilot GitHub Copilot is an AI-powered code completion tool that analyzes contextual code and delivers real-time feedback and recommendations by suggesting relevant code snippets. Tabnine Tabnine is an AI-based code completion tool that offers an alternative to GitHub Copilot.

Auto-complete 98

Auto-complete ChatGPT Explainability AI 98

AWS Machine Learning Blog

JANUARY 5, 2024

Artificial intelligence (AI) and machine learning (ML) offerings from Amazon Web Services (AWS) , along with integrated monitoring and notification services, help organizations achieve the required level of automation, scalability, and model quality at optimal cost.

Data Science 135

Data Science Data Drift DevOps Auto-complete 135

Dlabs.ai

SEPTEMBER 25, 2020

They’re actively creating the future of automation in what’s known as Robotic Process Automation 2.0. In this article, we’ll focus on this concept: explaining the term and sharing an example of how we’ve used the technology at DLabs.AI. Source: Grand View Research What is Robotic Process Automation (RPA)? Happy reading!

Automation 52

Automation Auto-classification Robotics Auto-complete 52

Unite.AI

NOVEMBER 17, 2023

It also offers a wide range of features, like over 50 diverse AI avatars, over 70 languages, and the ability to auto-translate to dozens of languages with the click of a button. Automate Translation Translate videos instantly to reach a global audience by selecting a language and adding variants.

AI 274

AI AI Natural Language Processing Auto-complete 274

Unite.AI

APRIL 23, 2024

That’s why we build AI tools that help organisations see their entire data picture, automate data governance, and enable them to get to the answers they need. Could you explain how the engine works and the kind of insights it has unearthed for businesses? A typical enterprise uses hundreds of different systems to store data.

Insight Engine 130

Insight Engine Auto-complete AI Tools Data Quality 130

AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. The project was completed in a month and deployed to production after a week of testing.

BERT 123

BERT Auto-complete Data Scientist Machine Learning 123

AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. jpg and the complete metadata from styles/38642.json. From here, we can fetch the image for this product from images/38642.jpg

Generative AI 137

Generative AI Machine Learning Natural Language Processing Large Language Models 137

AWS Machine Learning Blog

JUNE 3, 2024

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Complete the following steps: Choose Prepare and analyze data. Complete the following steps: Choose Run Data quality and insights report. Choose Create. Choose Export.

Generative AI 127

Generative AI Categorization Auto-complete Auto-classification 127

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Dlabs.ai

JULY 19, 2023

While AI systems can automate many tasks, they should not completely replace human judgment and intuition. By analyzing anonymized data, they can create safe and beneficial products and features, such as search query auto-completion, while preserving user identities.

Explainable AI 97

Explainable AI Explainability Algorithm Auto-complete 97

AWS Machine Learning Blog

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. When you create an AWS account, you get a single sign-on (SSO) identity that has complete access to all the AWS services and resources in the account.

LLM 136

LLM Auto-complete Auto-classification Generative AI 136

AWS Machine Learning Blog

NOVEMBER 9, 2023

Automated retraining mechanism – The training pipeline built with SageMaker Pipelines is triggered whenever a data drift is detected in the inference pipeline. It also provides select access to related services, such as AWS Application Auto Scaling , Amazon S3, Amazon Elastic Container Registry (Amazon ECR), and Amazon CloudWatch Logs.

Data Drift 123

Data Drift Auto-complete ML Automation 123

deepsense.ai

OCTOBER 8, 2023

We compare the existing solutions and explain how they work behind the scenes. General purpose coding agents Auto-GPT Auto-GPT was one of the first AI agents using Large Language Models to make waves, mainly due to its ability to independently handle diverse tasks. It can be augmented or replaced by human feedback.

Auto-complete 111

Auto-complete LLM Software Engineer AI 111

Towards AI

SEPTEMBER 27, 2023

This blog post will focus on key questions related to Experiments, Model Training, and evaluation and explore how AWS SageMaker can help address them. ▢ [Automation] How can data scientists automatically partition the data for training, validation, and testing purposes?▢ Additionally, there are associated costs for reading and writing to S3.

Data Scientist 64

Data Scientist Auto-complete Automation Algorithm 64

AWS Machine Learning Blog

FEBRUARY 19, 2025

To address these challenges, were introducing Automated Reasoning checks in Amazon Bedrock Guardrails (preview.) Automated Reasoning checks can detect hallucinations, suggest corrections, and highlight unstated assumptions in the response of your generative AI application. What is Automated Reasoning and how does it help?

Automation 87

Automation Explainability Auto-complete Generative AI 87

AWS Machine Learning Blog

FEBRUARY 29, 2024

This post explains how to integrate the Amazon Personalize Search Ranking plugin with OpenSearch Service to enable personalized search experiences. Deploy the CloudFormation stack The CloudFormation stack automates the deployment of the OpenSearch Service domain and SageMaker Notebook instance.

Auto-complete 128

Auto-complete ML AI AI 128

Pickl AI

FEBRUARY 10, 2025

Summary: This blog provides an in-depth look at the top 20 AWS interview questions, complete with detailed answers. Explain the Different Types of Cloud Services Offered by AWS. Explain the Difference Between RDS and DynamoDB. Implementing Auto Scaling to adjust capacity based on demand. Can You Explain Auto Scaling?

Auto-complete 52

Auto-complete Explainability Big Data Automation 52

Unite.AI

JANUARY 16, 2024

In this MeetGeek review, I'll explain what MeetGeek is and who it's best for. Verdict MeetGeek offers efficient online meeting management, leveraging AI to automate recording, transcribing, summarizing, and sharing insights from video conferencing platforms like Google Meet and Microsoft Teams. Let's get into it.

AI 147

AI AI Auto-complete UX Design 147

AWS Machine Learning Blog

OCTOBER 8, 2024

SageMaker AutoMLV2 is part of the SageMaker Autopilot suite, which automates the end-to-end machine learning workflow from data preparation to model deployment. In the training phase, CSV data is uploaded to Amazon S3, followed by the creation of an AutoML job, model creation, and checking for job completion.

Machine Learning 96

Machine Learning Auto-complete Auto-classification Metadata 96

AWS Machine Learning Blog

DECEMBER 14, 2023

The flexible and extensible interface of SageMaker Studio allows you to effortlessly configure and arrange ML workflows, and you can use the AI-powered inline coding companion to quickly author, debug, explain, and test code. Complete the following steps to edit an existing space: On the space details page, choose Stop space.

Generative AI 127

Generative AI AI Tools ML Auto-complete 127

Unite.AI

OCTOBER 20, 2023

I'll explain what each feature does, as well as how to use each one so you get a good understanding of how to use Speechify and what it's capable of. Course creators: Course creators can save time, money, and their vocal cords by automating their course voiceovers with Speechify's AI Voice Studio !

Auto-complete 147

Auto-complete AI AI Explainability 147

Robot Writers AI

AUGUST 6, 2023

For writers, the unblinking automated efficiency driving the creation of the news stories can be intimidating. How AI Took My Copywriting Job: Writer Graham Isador explains that once ChatGPT showed-up at his corporate copywriting gig, it was only a matter of time before his job was history. “It was editing the work of a robot.

Auto-complete 52

Auto-complete Robotics AI AI 52

AWS Machine Learning Blog

JULY 31, 2023

We explain the metrics and show techniques to deal with data to obtain better model performance. A perfect F1 score of 1 indicates that the model has achieved both perfect precision and perfect recall, and a score of 0 indicates that the model’s predictions are completely wrong.

Auto-classification 98

Auto-classification Machine Learning ML Auto-complete 98

AWS Machine Learning Blog

JUNE 20, 2024

Evaluating this faithfulness, which also serves to measure the presence of hallucinated content, in an automated manner is non-trivial, especially for open-ended responses. Evaluating RAG systems at scale requires an automated approach to extract metrics that are quantitative indicators of its reliability.

Auto-classification 138

Auto-classification LLM Prompt Engineering Prompt Engineer 138

Mlearning.ai

JULY 22, 2023

the UI for annotation, image ref: [link] The base containers that run when we put the CVAT stack up (not included auto annotation) (Semi) automated annotation The CVAT (semi) automated annotation allow user to use something call nuclio , which is a tool aimed to assist automated data science through serverless deployment.

Auto-complete 52

Auto-complete Computer Vision Automation Metadata 52

Robot Writers AI

APRIL 2, 2023

The drumbeats of AI writing’s threat to steal writing jobs thundered even more loudly for writers during Q1 2023, as a key publisher warned that job loss for some writers — due to automation — is a forgone conclusion at this point. Rumor has it, it is the same world in which pigs can fly.

Auto-complete 52

Auto-complete ChatGPT AI AI 52

DataRobot Blog

JANUARY 10, 2023

DataRobot Notebooks is a fully hosted and managed notebooks platform with auto-scaling compute capabilities so you can focus more on the data science and less on low-level infrastructure management. Auto-scale compute. In the DataRobot left sidebar, there is a table of contents auto-generated from the hierarchy of Markdown cells.

Auto-classification 52

Auto-classification Auto-complete Data Scientist Data Science 52

The MLOps Blog

JULY 18, 2024

Veriff is an identity verification platform that combines AI-powered automation with human feedback, deep insights, and expertise. Ricard explained how this enables them to deploy models easily: They convert them to the Triton format and copy them to S3 , from where SageMaker picks them up.

Data Scientist 64

Data Scientist ML Machine Learning Auto-complete 64

The MLOps Blog

JANUARY 23, 2023

We need both automated continuous monitoring AND periodic manual inspection. Ok, let me explain. Let me explain. Some feedback loops can be automated, but some cannot. That is happening on top of the automated tests. Too often, it is completely reversed, and the discussion is shaped by what tools do.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

Viso.ai

DECEMBER 18, 2023

Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation. 1: Variational Auto-Encoder. A Variational Auto-Encoder (VAE) generates synthetic data via double transformation, known as an encoded-decoded architecture. Technique No.1: This is how it works: Encoder.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Snorkel AI

MARCH 21, 2023

They were able to do a much more complete and holistic exploration of the solution space. In terms of productivity, the automation in this process meant that they went from analysis time of months, a highly iterative manual effort, down to days, plus knock-on benefits downstream in the actual delivery of experiments. Can I avoid bias?”

ML 52

ML Auto-complete Natural Language Processing Explainability 52

Viso.ai

APRIL 24, 2023

Multilingual OCR text recognition demo – Link The Process of OCR In the following, we will show how optical character recognition works and explain the main steps of traditional OCR technologies. Such image processing tasks are essential in all types of vision pipelines, to sharpen or auto-brighten images.

Computer Vision 52

Computer Vision Algorithm Machine Learning 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.

Prompt Engineering 52

Prompt Engineering Prompt Engineer Large Language Models LLM 52

The MLOps Blog

FEBRUARY 27, 2023

Michal, to warm you up for all this question-answering, how would you explain to us managing computer vision projects in one minute? You would address it in a completely different way, depending on what’s the problem. Michal: As I explained at some point to me, I wouldn’t say it’s much more complex.

Computer Vision 52

Computer Vision Auto-classification Auto-complete ML 52

The MLOps Blog

JULY 18, 2023

It’s an automated chief of staff that automates conversational tasks. We are aiming to automate that functionality so that every worker in an organization can have access to that help, just like a CEO or someone else in the company would. Jason: Hi Sabine, how’s it going? Jason, you are the co-founder and CTO of Xembly.

Conversational AI 52

Conversational AI Natural Language Processing Machine Learning AI 52

Dlabs.ai

JANUARY 16, 2023

That’s why the clinic wants to harness the power of deep learning in a bid to help healthcare professionals in an automated way. We can well explain this in a cancer detection example. But it’s not easy to spot the tell-tale signs in scans. Unfortunately, the competition rules prevent us from publishing competition data publicly.

Neural Network 52

Neural Network ML Auto-classification Convolutional Neural Networks 52