TheSequence

AUGUST 10, 2023

These AI-powered generative tools have empowered software developers, enabling them to create and maintain code with remarkable ease and significantly enhance their productivity. For example, T5-based models trained with a span denoising objective are ill-suited for auto-regressive generation tasks like code completion.

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Auto-complete Large Language Models Software Development AI 52

AWS Machine Learning Blog

OCTOBER 18, 2023

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. Start the model version when training is complete.

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AWS Machine Learning Blog

NOVEMBER 8, 2023

Amazon CodeWhisperer is a generative AI coding companion that speeds up software development by making suggestions based on the existing code and natural language comments, reducing the overall development effort and freeing up time for brainstorming, solving complex problems, and authoring differentiated code.

Software Development 104

Software Development Machine Learning Auto-complete ML 104

AWS Machine Learning Blog

OCTOBER 19, 2023

Solution overview Training a custom moderation adapter involves five steps that you can complete using the AWS Management Console or the API interface: Create a project Upload the training data Assign ground truth labels to images Train the adapter Use the adapter Let’s walk through these steps in more detail using the console.

Computer Vision 115

Computer Vision Auto-complete Artificial Intelligence Artificial Intelligence 115

NVIDIA

AUGUST 8, 2023

The suite of GPU-accelerated software development kits and cloud-native microservices lets users deploy AI features that enhance audio, video and augmented-reality effects for real-time communications services and platforms.

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Auto-complete Software Development AI AI 90

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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Unite.AI

SEPTEMBER 11, 2023

To actualize an agile, flexible software architecture that can adapt to dynamic programming tasks. Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs. The post MetaGPT: Complete Guide to the Best AI Agent Available Right Now appeared first on Unite.AI.

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Python Software Development OpenAI Software Engineer 328

Marktechpost

NOVEMBER 7, 2023

Software developers, however, are more interested in creating libraries that may be used to solve whole problem domains than they are in finishing the current work at hand. Figure 1: The LILO learning loop overview. (Al) Al) Using a dual-system search methodology, LILO creates programs from task descriptions written in plain language.

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AWS Machine Learning Blog

JUNE 7, 2023

To do so, we use the auto update dataset capability in Canvas and retrain our existing ML model with the latest version of training dataset. Set up auto update on the existing training dataset and upload new data to the Amazon S3 location backing this dataset. Upon completion, it should create a new dataset version.

Automation 70

Automation ML Auto-complete Categorization 70

AWS Machine Learning Blog

APRIL 25, 2024

The added benefit of asynchronous inference is the cost savings by auto scaling the instance count to zero when there are no requests to process. Prerequisites Complete the following prerequisites: Create a SageMaker domain. He has also developed the advanced analytics platform as a part of the digital transformation journey.

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AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

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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 69

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

Another option is to download complete data for your ML model training use cases using SageMaker Data Wrangler processing jobs. After you check out the data type matching applied by SageMaker Data Wrangler, complete the following steps: Choose the plus sign next to Data types and choose Add analysis. This is a one-time setup.

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Auto-complete Auto-classification ML Data Quality 78

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. Set up your training cluster To create your SageMaker HyperPod cluster, complete the following steps: On the SageMaker console, choose Cluster management under HyperPod Clusters in the navigation pane.

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Auto-complete Machine Learning Generative AI Software Engineer 115

AWS Machine Learning Blog

DECEMBER 13, 2023

We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high performance. The complete code samples with instructions can be found in this GitHub repository. Engine to use: MXNet, PyTorch, TensorFlow, ONNX, PaddlePaddle, DeepSpeed, etc.

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Auto-complete Machine Learning Deep Learning Python 118

AWS Machine Learning Blog

OCTOBER 11, 2023

The decode phase includes the following: Completion – After the prefill phase, you have a partially generated text that may be incomplete or cut off at some point. The decode phase is responsible for completing the text to make it coherent and grammatically correct. The default is 32.

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AWS Machine Learning Blog

DECEMBER 4, 2023

The project was completed in a month and deployed to production after a week of testing. She has 12 years of software development and architecture experience. We used GPU jobs that help us run jobs that use an instance’s GPUs. The following diagram shows the solution’s architecture.

BERT 101

BERT Auto-complete Data Scientist Machine Learning 101

AWS Machine Learning Blog

JUNE 13, 2023

LMI DLCs are a complete end-to-end solution for hosting LLMs like Falcon-40B. You can monitor the status of the endpoint by calling DescribeEndpoint , which will tell you when everything is complete. He has more than 15 years working with technology, from software development, infrastructure, serverless, to machine learning.

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Auto-complete Deep Learning LLM Software Engineer 76

AWS Machine Learning Blog

MAY 31, 2023

Complete the following steps: Launch the provided CloudFormation template. When the stack is complete, you can move to the next step. Complete the following steps: On the Amazon ECR console, create a new repository. To do a complete cleanup, delete the CloudFormation stack to remove all resources created by this template.

Machine Learning 82

Machine Learning Auto-complete ML Deep Learning 82

Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry.

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Prompt Engineer Prompt Engineering ChatGPT Convolutional Neural Networks 246

AWS Machine Learning Blog

NOVEMBER 30, 2023

You can also edit the auto scaling policy on the Auto-scaling tab on this page. Deploy a SageMaker JumpStart LLM To deploy a SageMaker JumpStart LLM, complete the following steps: Navigate to the JumpStart page in SageMaker Studio. More details on adding, removing, and testing models are covered in the following sections.

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ML Auto-complete Python LLM 110

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 77

AWS Machine Learning Blog

MAY 4, 2023

For ultra-large models that don’t fit into a single accelerator, data flows directly between accelerators with NeuronLink, bypassing the CPU completely. These endpoints are fully managed and support auto scaling. xlarge" ) Refer to Developer Flows for more details on typical development flows of Inf2 on SageMaker with sample scripts.

Generative AI 80

Generative AI Deep Learning Machine Learning Python 80

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 84

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. In general, ML researchers are super heavy on ML-specific knowledge and less skilled in software development.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

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.

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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 300

AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. The complete example is shown in the accompanying notebook. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion.

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LLM Large Language Models Chatbots Generative AI 97

The MLOps Blog

JULY 18, 2023

But ideally, we strive for complete independence of the models in our system so that we can update them without then having to go update every other model in the pipeline – that’s a danger that you can run into. But it’s absolutely critical for most people in our space that you do some type of auto-scaling.

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Conversational AI Natural Language Processing AI AI 52

AWS Machine Learning Blog

APRIL 17, 2023

SageMaker LMI containers includes model download optimization by using the s5cmd library to speed up the model download time and container startup times, and eventually speed up auto scaling on SageMaker. A complete example that illustrates the no-code option can be found in the following notebook.

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Prompt Engineer Prompt Engineering Deep Learning Large Language Models 83

Google Research AI blog

JANUARY 18, 2023

We have also seen significant success in using large language models (LLMs) trained on source code (instead of natural language text data) that can assist our internal developers, as described in ML-Enhanced Code Completion Improves Developer Productivity. The pixels in the same colors are attended together.

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Computer Vision Auto-classification Large Language Models Neural Network 132

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 109

AWS Machine Learning Blog

NOVEMBER 30, 2023

Because FM outputs could range from a single sentence to multiple paragraphs, the time it takes to complete the inference request varies significantly, leading to unpredictable spikes in latency if the requests are routed randomly between instances. In this post, we show you the new capabilities of IC-based SageMaker endpoints.

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Auto-complete Machine Learning ML Computer Vision 93

AWS Machine Learning Blog

JUNE 5, 2023

You can find our complete example notebook here. Qing Lan is a Software Development Engineer in AWS. Xin Yang is a Software Development Engineer at AWS. Get started with TGI on SageMaker Hosting Let’s walk through a code example that deploys a GPT NeoX 20B parameter model on a SageMaker Endpoint.

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LLM Large Language Models Deep Learning Auto-complete 80

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 100

ML Auto-complete Deep Learning Software Engineer 100

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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