NVIDIA

MARCH 18, 2024

NVIDIA GTC , running this week at the San Jose Convention Center, will spotlight the groundbreaking work NVIDIA and its partners are doing to bring the transformative power of generative AI , large language models and visual language models to the mobility sector.

Generative AI 109

Generative AI AI Developer AI Development Auto-complete 109

AWS Machine Learning Blog

FEBRUARY 19, 2025

Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. FMs are probabilistic in nature and produce a range of outcomes. This is where the combination of generative AI and Automated Reasoning come into play.

Automation 75

Automation Explainability Auto-complete Generative AI 75

Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. Use the deployed models in your question answering generative AI applications.

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AWS Machine Learning Blog

JULY 1, 2024

It features natural language understanding capabilities to recognize more accurate identification of user intent and fulfills the user intent faster. Amazon Bedrock simplifies the process of developing and scaling generative AI applications powered by large language models (LLMs) and other foundation models (FMs).

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AWS Machine Learning Blog

DECEMBER 14, 2023

Additionally, we cover the seamless integration of generative AI tools like Amazon CodeWhisperer and Jupyter AI within SageMaker Studio JupyterLab Spaces, illustrating how they empower developers to use AI for coding assistance and innovative problem-solving. Choose Create JupyterLab space. Choose Create space.

Generative AI 118

Generative AI AI Tools ML Auto-complete 118

AWS Machine Learning Blog

MARCH 10, 2025

By surrounding unparalleled human expertise with proven technology, data and AI tools, Octus unlocks powerful truths that fuel decisive action across financial markets. Visit octus.com to learn how we deliver rigorously verified intelligence at speed and create a complete picture for professionals across the entire credit lifecycle.

DevOps 81

DevOps Metadata Auto-complete Automation 81

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. lora_alpha=32, # the alpha parameter for Lora scaling.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

To address this challenge, the contact center team at DoorDash wanted to harness the power of generative AI to deploy a solution quickly, and at scale, while maintaining their high standards for issue resolution and customer satisfaction. The stack will take about a minute or two to deploy.

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AWS Machine Learning Blog

MARCH 13, 2025

MAX_BATCH_PREFILL_TOKENS : This parameter caps the total number of tokens processed during the prefill stage across all batched requests, a phase that is both memory-intensive and compute-bound, thereby optimizing resource utilization and preventing out-of-memory errors. The best performance was observed on ml.p4dn.24xlarge 48xlarge , ml.g6e.12xlarge

LLM 72

LLM Machine Learning AI AI 72

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. SageMaker features and capabilities help developers and data scientists get started with natural language processing (NLP) on AWS with ease.

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AWS Machine Learning Blog

APRIL 17, 2024

Second, using this graph database along with generative AI to detect second and third-order impacts from news events. For instance, this solution can highlight that delays at a parts supplier may disrupt production for downstream auto manufacturers in a portfolio though none are directly referenced.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

The success of generative AI applications across a wide range of industries has attracted the attention and interest of companies worldwide who are looking to reproduce and surpass the achievements of competitors or solve new and exciting use cases. as the engines that power the generative AI innovation.

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AWS Machine Learning Blog

AUGUST 1, 2023

Advertising agencies can use generative AI and text-to-image foundation models to create innovative ad creatives and content. In this post, we demonstrate how you can generate new images from existing base images using Amazon SageMaker , a fully managed service to build, train, and deploy ML models for at scale.

Generative AI 71

Generative AI Auto-complete Computer Vision Machine Learning 71

AWS Machine Learning Blog

MAY 4, 2023

The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and more complex.

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Generative AI Deep Learning Machine Learning Python 90

AWS Machine Learning Blog

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. You can access your imported custom models on-demand and without the need to manage underlying infrastructure.

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Auto-complete Generative AI Data Scientist 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.

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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. This identity is called the AWS account root user.

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LLM Auto-complete Auto-classification Generative AI 130

AWS Machine Learning Blog

OCTOBER 11, 2023

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? This condition can be a maximum length for the generated text, a specific token that signals the end of the text, or any other criteria set by the user or the application.

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AWS Machine Learning Blog

SEPTEMBER 25, 2023

We’re at an exciting inflection point in the widespread adoption of machine learning (ML), and we believe most customer experiences and applications will be reinvented with generative AI. Generative AI can create new content and ideas, including conversations, stories, images, videos, and music.

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AssemblyAI

SEPTEMBER 18, 2023

These models aren't just large in terms of size—they're also massive in their capacity to understand human prompts and generate vast amounts of original text. Original natural language processing (NLP) models were limited in their understanding of language. Want to dive deeper?

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AWS Machine Learning Blog

MAY 1, 2024

Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology. This results in faster restarts and workload completion. Llama2 by Meta is an example of an LLM offered by AWS.

ML 109

ML Auto-complete Deep Learning Generative AI 109

Robot Writers AI

JANUARY 14, 2024

Yes, we’re all still trying to get our heads around the fact that ChatGPT and AI like it is going to do more and more of our writing for us in coming years, more and more of our everyday jobs for us in coming years — and more and more of our day-to-day thinking for us in coming years.

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AWS Machine Learning Blog

MAY 31, 2024

It’s a next generation model in the Falcon family—a more efficient and accessible large language model (LLM) that is trained on a 5.5 It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. After deployment is complete, you will see that an endpoint is created.

Python 114

Python Machine Learning Auto-classification ML 114

AWS Machine Learning Blog

DECEMBER 5, 2023

Customers can create the custom metadata using Amazon Comprehend , a natural-language processing (NLP) service managed by AWS to extract insights about the content of documents, and ingest it into Amazon Kendra along with their data into the index. For example, metadata can be used for filtering and searching. append(e["Text"].upper())

Metadata 118

Metadata Auto-classification Auto-complete Content Enrichment 118

AWS Machine Learning Blog

AUGUST 5, 2024

In recent years, we have seen a big increase in the size of large language models (LLMs) used to solve natural language processing (NLP) tasks such as question answering and text summarization. Introduction Modern language models are based on the transformer architecture. compared to 76.4).

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AWS Machine Learning Blog

AUGUST 14, 2023

In this post, we showcase how to build an end-to-end generative AI application for enterprise search with Retrieval Augmented Generation (RAG) by using Haystack pipelines and the Falcon-40b-instruct model from Amazon SageMaker JumpStart and Amazon OpenSearch Service.

Generative AI 81

Generative AI LLM NLP ML 81

AWS Machine Learning Blog

JULY 24, 2024

Salesforce Einstein is a set of AI technologies that integrate with Salesforce’s Customer Success Platform to help businesses improve productivity and client engagement. SageMaker allowed the Einstein team to use auto-scaling of these GPUs to meet demand without manual intervention.

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LLM Machine Learning Auto-complete NLP 123

Marktechpost

JULY 11, 2023

Introduction Generative AI is evolving and getting popular. The major reason for the exponentially increasing popularity is the development of Large Language Models. LLMs, the Artificial Intelligence models that are designed to process natural language and generate human-like responses, are trending.

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LevelAI

SEPTEMBER 1, 2023

Limited options for auto-QA Many companies use automated QA (auto QA) services to monitor customer interactions. However, this is a relatively small market with limited solutions, and most auto-QA tools fail to deliver actionable results. Level AI offers QA-GPT , a powerful QA auditor you can tailor to your exact business.

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Unite.AI

JANUARY 16, 2024

Auto-Recording & Transcription With MeetGeek AI, you can automatically record and transcribe your meetings for free without taking notes! MeetGeek generates AI-powered meeting summaries with highlights and actionable tasks that can automatically be shared with others.

AI 147

AI AI Auto-complete UX Design 147

AWS Machine Learning Blog

APRIL 16, 2024

To learn more about SageMaker Studio JupyterLab Spaces, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools. To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret.

Data Scientist 110

Data Scientist Generative AI Machine Learning Auto-complete 110

AWS Machine Learning Blog

JANUARY 8, 2024

When the script ends, a completion status along with the time taken will be returned to the SageMaker studio console. Clean up When the Python script is complete, you can save costs by shutting down or stopping the Amazon SageMaker Studio notebook or container that you spun up. We have packaged this solution in a.ipynb script and.py

IDP 104

IDP Python Auto-complete Machine Learning 104

AWS Machine Learning Blog

NOVEMBER 22, 2023

An intelligent document processing (IDP) project usually combines optical character recognition (OCR) and natural language processing (NLP) to read and understand a document and extract specific terms or words. About the Authors Suyin Wang is an AI/ML Specialist Solutions Architect at AWS.

IDP 100

IDP Auto-classification Machine Learning Auto-complete 100

AWS Machine Learning Blog

JUNE 1, 2023

Deploy the trained ByteTrack model with different deployment options depending on your use case: real-time processing, asynchronous, or batch prediction. Prerequisites Before getting started, complete the following prerequisites: Create an AWS account or use an existing AWS account. Create a SageMaker notebook instance.

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ODSC - Open Data Science

AUGUST 24, 2023

Be sure to check out their talk, “Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices,” there! The emergence of Large Language Models (LLMs) has inaugurated a new era in the realm of artificial intelligence, reshaping the possibilities for organizations across diverse sectors.

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Prompt Engineering Prompt Engineer Large Language Models Responsible AI 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Now you can also fine-tune 7 billion, 13 billion, and 70 billion parameters Llama 2 text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. In this post, we walk through how to fine-tune Llama 2 pre-trained text generation models via SageMaker JumpStart.

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AWS Machine Learning Blog

SEPTEMBER 26, 2024

The SageMaker option offers several advantages, including easy integration of image generation APIs with video generation endpoints to create end-to-end pipelines. Once the SageMaker HyperPod cluster deletion is complete, delete the CloudFormation stack. He is passionate about computer vision, NLP, generative AI, and MLOps.

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Algorithm ML Data Scientist Machine Learning 113