+
+

Related Products

  • Sage Intacct
    7,861 Ratings
    Visit Website
  • Vertex AI
    783 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,934 Ratings
    Visit Website
  • Flowlens
    39 Ratings
    Visit Website
  • EBizCharge
    195 Ratings
    Visit Website
  • Gravity Software
    45 Ratings
    Visit Website
  • RunPod
    205 Ratings
    Visit Website
  • Google AI Studio
    11 Ratings
    Visit Website
  • Windsurf Editor
    156 Ratings
    Visit Website
  • Sogolytics
    864 Ratings
    Visit Website

About

Amazon SageMaker provides all the tools and libraries you need to build ML models, the process of iteratively trying different algorithms and evaluating their accuracy to find the best one for your use case. In Amazon SageMaker you can pick different algorithms, including over 15 that are built-in and optimized for SageMaker, and use over 150 pre-built models from popular model zoos available with a few clicks. SageMaker also offers a variety of model-building tools including Amazon SageMaker Studio Notebooks and RStudio where you can run ML models on a small scale to see results and view reports on their performance so you can come up with high-quality working prototypes. Amazon SageMaker Studio Notebooks help you build ML models faster and collaborate with your team. Amazon SageMaker Studio notebooks provide one-click Jupyter notebooks that you can start working within seconds. Amazon SageMaker also enables one-click sharing of notebooks.

About

AI engineering doesn't have to be a black box. Get full visibility with tools for tracing, evaluation, prompt management, and more. HoneyHive is an AI observability and evaluation platform designed to assist teams in building reliable generative AI applications. It offers tools for evaluating, testing, and monitoring AI models, enabling engineers, product managers, and domain experts to collaborate effectively. Measure quality over large test suites to identify improvements and regressions with each iteration. Track usage, feedback, and quality at scale, facilitating the identification of issues and driving continuous improvements. HoneyHive supports integration with various model providers and frameworks, offering flexibility and scalability to meet diverse organizational needs. It is suitable for teams aiming to ensure the quality and performance of their AI agents, providing a unified platform for evaluation, monitoring, and prompt management.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises in search of a solution to build machine learning models efficiently

Audience

Teams in search of a platform for evaluating, monitoring, and managing their AI applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/build/

Company Information

HoneyHive
Founded: 2022
United States
www.honeyhive.ai/

Alternatives

Alternatives

Categories

Categories

Integrations

Amazon Web Services (AWS)
GitHub
Python
Amazon SageMaker
CircleCI
Docker
Gemini Nano
Gemini Pro
Jupyter Notebook
LangChain
MLflow
Mistral 7B
Mistral AI
Pixtral Large
Please
PyTorch
R
R Markdown
Splunk Cloud Platform
Tome

Integrations

Amazon Web Services (AWS)
GitHub
Python
Amazon SageMaker
CircleCI
Docker
Gemini Nano
Gemini Pro
Jupyter Notebook
LangChain
MLflow
Mistral 7B
Mistral AI
Pixtral Large
Please
PyTorch
R
R Markdown
Splunk Cloud Platform
Tome
Claim Amazon SageMaker Model Building and update features and information
Claim Amazon SageMaker Model Building and update features and information
Claim HoneyHive and update features and information
Claim HoneyHive and update features and information