Auto-complete, ML and Responsible AI - Artificial Intelligence Zone

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning Blog

NOVEMBER 14, 2024

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts.

ML

ML Machine Learning Auto-complete Auto-classification

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

JUNE 27, 2023

Knowledge and skills in the organization Evaluate the level of expertise and experience of your ML team and choose a tool that matches their skill set and learning curve. Model monitoring and performance tracking : Platforms should include capabilities to monitor and track the performance of deployed ML models in real-time.

Machine Learning

Machine Learning Metadata Data Scientist Data Quality

Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

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. Solution overview The following diagram illustrates the solution architecture.

Generative AI

Generative AI Machine Learning Natural Language Processing Large Language Models

Webinars

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Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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Optimize your machine learning deployments with auto scaling on Amazon SageMaker

AWS Machine Learning Blog

FEBRUARY 8, 2023

Machine learning (ML) has become ubiquitous. Our customers are employing ML in every aspect of their business, including the products and services they build, and for drawing insights about their customers. To build an ML-based application, you have to first build the ML model that serves your business requirement.

Machine Learning

Machine Learning Auto-complete ML Natural Language Processing

Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. A key research question is whether ML models can learn to solve complex problems using multi-step reasoning. Let’s get started!

Computer Vision

Computer Vision Auto-classification Large Language Models Neural Network

Google Research, 2022 & beyond: Research community engagement

Google Research AI blog

FEBRUARY 28, 2023

Adherence to such public health programs is a prevalent challenge, so researchers from Google Research and the Indian Institute of Technology, Madras worked with ARMMAN to design an ML system that alerts healthcare providers about participants at risk of dropping out of the health information program. certainty when used correctly.

Robotics

Robotics Deep Learning Auto-classification ML

Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

AWS Machine Learning Blog

MARCH 2, 2023

script will create the VPC, subnets, auto scaling groups, the EKS cluster, its nodes, and any other necessary resources. The controller is responsible for monitoring and managing the training jobs, and the parameter server keeps track of the training job workers for distributed synchronization and peer discovery. eks-create.sh

BERT

BERT Deep Learning Metadata Auto-complete

Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

AWS Machine Learning Blog

JUNE 20, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Auto-classification

Auto-classification LLM Prompt Engineer Prompt Engineering

Synthetic Data: A Model Training Solution

Viso.ai

DECEMBER 18, 2023

Access to synthetic data is valuable for developing effective artificial intelligence (AI) and machine learning (ML) models. To address these challenges, we introduce synthetic data as an ML model training solution. 1: Variational Auto-Encoder. This article is part one of our two-part series on synthetic data.

Computer Vision

Computer Vision Neural Network Auto-complete Data Scarcity

Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s Catch the sessions you missed!

Data Scientist

Data Scientist Large Language Models Machine Learning Data Science

Future of Data-Centric AI day 1: LLMs changed the world

Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. Panel – Adopting AI: With Power Comes Responsibility Harvard’s Vijay Janapa Reddi, JPMorgan Chase & Co.’s Learn more, live!

Data Scientist

Data Scientist Large Language Models Machine Learning Data Science

How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning Blog

MAY 7, 2024

Building enhanced semantic search capabilities that analyze media contextually would lay the groundwork for creating AI-generated content, allowing customers to produce customized media more efficiently. With recent advances in large language models (LLMs), Veritone has updated its platform with these powerful new AI capabilities.

Metadata

Metadata Generative AI Machine Learning Large Language Models

Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Then we’re going to talk about adapting foundation models for the enterprise and how that affects the ML lifecycle, and what we need to potentially add to the lifecycle.

Large Language Models

Large Language Models Prompt Engineer Prompt Engineering Neural Network

Google’s Arsanjani on Enterprise Foundation Model Challenges

Snorkel AI

MARCH 2, 2023

I am Ali Arsanjani, and I lead partner engineering for Google Cloud, specializing in the area of AI-ML, and I’m very happy to be here today with everyone. Then we’re going to talk about adapting foundation models for the enterprise and how that affects the ML lifecycle, and what we need to potentially add to the lifecycle.

Large Language Models

Large Language Models Prompt Engineer Prompt Engineering Neural Network

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock

AWS Machine Learning Blog

MARCH 19, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. split("/")[-1]}.out' decode("utf-8").strip().split("n")

Auto-complete

Auto-complete NLP Prompt Engineer Prompt Engineering

Announcing New Tools for Building with Generative AI on AWS

Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

Generative AI

Generative AI ML AI AI

Achieve high performance at scale for model serving using Amazon SageMaker multi-model endpoints with GPU

AWS Machine Learning Blog

FEBRUARY 24, 2023

Amazon SageMaker multi-model endpoints (MMEs) provide a scalable and cost-effective way to deploy a large number of machine learning (ML) models. It gives you the ability to deploy multiple ML models in a single serving container behind a single endpoint. helping customers design and build AI/ML solutions. 2xlarge 46.

BERT

BERT NLP Computer Vision Neural Network

Build a personalized avatar with generative AI using Amazon SageMaker

AWS Machine Learning Blog

AUGUST 2, 2023

It also provides a built-in queuing mechanism for queuing up requests, and a task completion notification mechanism via Amazon SNS, in addition to other native features of SageMaker hosting such as auto scaling. To host the asynchronous endpoint, we must complete several steps. helping customers design and build AI/ML solutions.

Generative AI

Generative AI Computer Vision Auto-complete Natural Language Processing

List of Groundbreaking and Open-Source Conversational AI Models in the Language Domain

Marktechpost

JULY 15, 2023

LLaMA Release date : February 24, 2023 LLaMa is a foundational LLM developed by Meta AI. It is designed to be more versatile and responsible than other models. The release of LLaMA aims to democratize access to the research community and promote responsible AI practices. trillion tokens.

Conversational AI

Conversational AI AI Modeling Large Language Models Auto-classification

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 23, 2024

Have you ever faced the challenge of obtaining high-quality data for fine-tuning your machine learning (ML) models? AmazonBedrockFullAccess AmazonS3FullAccess AmazonEC2ContainerRegistryFullAccess Open SageMaker Studio To open SageMaker studio, complete the following steps: On the SageMaker console, choose Studio in the navigation pane.

Auto-complete

Auto-complete Auto-classification Generative AI Artificial Intelligence

Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – part 1

AWS Machine Learning Blog

DECEMBER 2, 2024

This dramatic improvement in loading speed opens up new possibilities for responsive AI systems, potentially enabling faster scaling and more dynamic applications that can adapt quickly to changing demands. For more details, see Amazon SageMaker inference launches faster auto scaling for generative AI models and Container Caching.

Large Language Models

Large Language Models Auto-complete Machine Learning LLM

Artificial Intelligence Zone

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

MLOps Landscape in 2023: Top Tools and Platforms

Webinars

Trending Sources

Generating fashion product descriptions by fine-tuning a vision-language model with SageMaker and Amazon Bedrock

Webinars

Optimize your machine learning deployments with auto scaling on Amazon SageMaker

Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research, 2022 & beyond: Research community engagement

Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

Synthetic Data: A Model Training Solution

Future of Data-Centric AI day 1: LLMs changed the world

Future of Data-Centric AI day 1: LLMs changed the world

How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

Google’s Dr. Arsanjani on Enterprise Foundation Model Challenges

Google’s Arsanjani on Enterprise Foundation Model Challenges

Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock

Announcing New Tools for Building with Generative AI on AWS

Achieve high performance at scale for model serving using Amazon SageMaker multi-model endpoints with GPU

Build a personalized avatar with generative AI using Amazon SageMaker

List of Groundbreaking and Open-Source Conversational AI Models in the Language Domain

Fine-tune a BGE embedding model using synthetic data from Amazon Bedrock

Introducing Fast Model Loader in SageMaker Inference: Accelerate autoscaling for your Large Language Models (LLMs) – part 1

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