AWS Machine Learning Blog

JUNE 7, 2023

You can now retrain machine learning (ML) models and automate batch prediction workflows with updated datasets in Amazon SageMaker Canvas , thereby making it easier to constantly learn and improve the model performance and drive efficiency. Automating this process provides efficiency, scalability, and timely decision-making.

ML 67

ML Automation Auto-complete Categorization 67

Unite.AI

AUGUST 30, 2023

When comparing ChatGPT with Autonomous AI agents such as Auto-GPT and GPT-Engineer, a significant difference emerges in the decision-making process. Rather than just offering suggestions, agents such as Auto-GPT can independently handle tasks, from online shopping to constructing basic apps.

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Auto-complete OpenAI Python AI 162

Unite.AI

SEPTEMBER 11, 2023

Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks. To actualize an agile, flexible software architecture that can adapt to dynamic programming tasks. Both MetaGPT and AgentVerse support code review capabilities, but MetaGPT goes a step further.

Python 328

Python OpenAI Software Development Software Engineer 328

AWS Machine Learning Blog

MAY 9, 2023

In addition, you can now use Application Auto Scaling with provisioned concurrency to address inference traffic dynamically based on target metrics or a schedule. In this post, we discuss what provisioned concurrency and Application Auto Scaling are, how to use them, and some best practices and guidance for your inference workloads.

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Auto-complete Machine Learning ML Software Development 66

The MLOps Blog

FEBRUARY 27, 2023

You would address it in a completely different way, depending on what’s the problem. 2 The more interesting ones are the ones that don’t have the data science teams, or sometimes they don’t even have software developers in the way that they are companies that live in the 21st century. Sabine: Oh yes.

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Computer Vision Auto-classification Auto-complete ML 52

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. This is a one-time setup.

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Auto-complete Auto-classification ML Data Quality 75

AWS Machine Learning Blog

NOVEMBER 30, 2023

Auto-resume and healing capabilities One of the new features with SageMaker HyperPod is the ability to have auto-resume on your jobs. SageMaker HyperPod addresses job resiliency by using automated health checks, node replacement, and job recovery. Choose Create a cluster. pretrain-model.sh

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Auto-complete Machine Learning Generative AI Software Engineer 111

AWS Machine Learning Blog

DECEMBER 4, 2023

The project was completed in a month and deployed to production after a week of testing. He worked at Turkcell, mainly focused on time series forecasting, data visualization, and network automation. She has 12 years of software development and architecture experience. The model pipeline is run separately for each country.

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BERT Auto-complete Data Scientist Machine Learning 94

AWS Machine Learning Blog

JUNE 13, 2023

In this post, we demonstrate how to deploy Falcon for applications like language understanding and automated writing assistance using large model inference deep learning containers on SageMaker. LMI DLCs are a complete end-to-end solution for hosting LLMs like Falcon-40B. code_falcon40b_deepspeed/model.py add_as_json(result) That’s it!

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Auto-complete Deep Learning LLM Software Engineer 72

The MLOps Blog

JANUARY 23, 2023

Just so you know where I am coming from: I have a heavy software development background (15+ years in software). Came to ML from software. Founded two successful software services companies. We need both automated continuous monitoring AND periodic manual inspection. Some are my 3–4 year bets.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

AWS Machine Learning Blog

AUGUST 4, 2023

With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization from a single visual interface. Make sure to disable sampling when importing the data.

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Auto-complete ML Metadata Python 73

AWS Machine Learning Blog

JULY 31, 2023

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. Finally, when it’s complete, the pane will show a list of columns with its impact on the model. Indrajit is an AWS Enterprise Sr. Solutions Architect.

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Auto-classification Machine Learning ML Auto-complete 80

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 AI AI 52

Unite.AI

APRIL 18, 2024

From self-driving cars to language models that can engage in human-like conversations, AI is rapidly transforming various industries, and software development is no exception. This remarkable tool leverages state-of-the-art language models like GPT-4, streamlining the development cycle and enhancing developer productivity.

Software Engineer 261

Software Engineer Software Development LLM AI 261

IBM Journey to AI blog

MARCH 6, 2024

Software development is one arena where we are already seeing significant impacts from generative AI tools. A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. This can aid in maintaining code quality and performance over time.

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Generative AI DevOps Software Development Auto-complete 288

AWS Machine Learning Blog

JANUARY 17, 2024

Llama 2 is an auto-regressive generative text language model that uses an optimized transformer architecture. Trainium and AWS Inferentia, enabled by the AWS Neuron software development kit (SDK), offer a high-performance, and cost effective option for training and inference of Llama 2 models. train_and_test_dataset["train"].to_json("train.jsonl")

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Auto-complete Python Deep Learning Machine Learning 102

AWS Machine Learning Blog

JUNE 5, 2023

These powerful models, such as those based on the GPT and T5 architectures, have experienced an unprecedented surge in popularity for a broad set of applications, including language understanding, conversational experiences, and automated writing assistance. You can find our complete example notebook here.

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LLM Large Language Models Deep Learning Auto-complete 76

AWS Machine Learning Blog

FEBRUARY 19, 2024

As a result, an initial invocation to a model might see higher inference latency than the subsequent inferences, which are completed with low latency. To take advantage of automated model scaling in SageMaker, make sure you have instance auto scaling set up to provision additional instance capacity.

ML 93

ML Auto-complete Deep Learning Software Engineer 93

Flipboard

APRIL 13, 2023

For instance, a financial firm that needs to auto-generate a daily activity report for internal circulation using all the relevant transactions can customize the model with proprietary data, which will include past reports, so that the FM learns how these reports should read and what data was used to generate them.

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Generative AI ML AI AI 182