AWS Machine Learning Blog

MAY 8, 2023

With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Additionally, TensorRT employs CUDA streams to enable parallel processing of models, further improving GPU utilization and performance. Note that the cell takes around 30 minutes to complete. !docker

ML 104

ML BERT Deep Learning Auto-complete 104

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. When this step is complete, delete the cluster by using the following script in the eks folder: /eks-delete.sh She has a technical background in AI and Natural Language Processing. eks-create.sh

BERT 95

BERT Deep Learning Metadata Auto-complete 95

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! Evaluating Prompt Completion: The goal is to establish effective evaluation criteria to gauge LLMs’ performance across tasks and domains. are harnessed to channel LLMs output.

Prompt Engineer 52

Prompt Engineer Prompt Engineering Large Language Models Responsible AI 52

AWS Machine Learning Blog

APRIL 16, 2024

To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret. Complete the following steps: On the Secrets Manager console, choose Store a new secret. Always make sure that sensitive data is handled securely to avoid potential security risks.

Data Scientist 126

Data Scientist Generative AI Machine Learning Auto-complete 126

Topbots

AUGUST 22, 2023

auto-evaluation) and using human-LLM hybrid approaches. To streamline the process, multiple evaluation criteria can be integrated into a singular feedback function. It will take as input the text generated by an LLM and some metadata, and then output a score that indicates the quality of the text.

LLM 52

LLM Auto-complete Large Language Models Machine Learning 52

AWS Machine Learning Blog

MARCH 6, 2023

The preparation of a natural language processing (NLP) dataset abounds with share-nothing parallelism opportunities. FSx for Lustre uses distributed file storage (stripping) and physically separates file metadata from file content to achieve high-performance read/writes.

Large Language Models 111

Large Language Models LLM Machine Learning ML 111

The MLOps Blog

JANUARY 19, 2024

The helper function makes that process more manageable, allowing us to process the entire dataset at once using map. <pre class =" hljs " style =" display : block; overflow-x: auto; padding: 0.5 <pre class =" hljs " style =" display : block; overflow-x: auto; padding: 0.5

LLM 52

LLM Auto-complete Large Language Models Natural Language Processing 52

AWS Machine Learning Blog

SEPTEMBER 24, 2024

Complete the following steps to set up your knowledge base: Sign in to your AWS account, then choose Launch Stack to deploy the CloudFormation template: Provide a stack name, for example contact-center-kb. When the stack is complete, you can review the resources it creates on the Resources tab for the CloudFormation stack. Choose Next.

Generative AI 104

Generative AI Auto-complete LLM Automation 104

AWS Machine Learning Blog

SEPTEMBER 21, 2023

They wanted to take advantage of machine learning (ML) techniques such as computer vision (CV) and natural language processing (NLP) to automate document processing pipelines. The process relies on manual annotations to train ML models, which are very costly. jpg", "textract-ref": "s3://bucket/textract/passport-0.jpg",

Auto-complete 132

Auto-complete Machine Learning Computer Vision ML 132