Amazon PersonalizeAmazon
|
RankLLMCastorini
|
|||||
| Amazon Personalize | RankLLM | |||||
|---|---|---|---|---|---|---|
Related Products
|
||||||
Amazon Personalize:
About
Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com for real-time personalized recommendations – no ML expertise required. Amazon Personalize makes it easy for developers to build applications capable of delivering a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized direct marketing. Amazon Personalize is a fully managed machine learning service that goes beyond rigid static rule based recommendation systems and trains, tunes, and deploys custom ML models to deliver highly customized recommendations to customers across industries such as retail and media and entertainment. Amazon Personalize provisions the necessary infrastructure and manages the entire ML pipeline, including processing the data, identifying features, using the best algorithms, and training, optimizing, and hosting the models.
|
RankLLM:
About
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.
|
|||||
Amazon Personalize:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
RankLLM:
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Amazon Personalize:
Audience
Solution for companies wanting to create real-time personalized user experiences faster at scale
|
RankLLM:
Audience
Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models
|
|||||
Amazon Personalize:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
RankLLM:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
Amazon Personalize:
API
Offers API
Not Supported
|
RankLLM:
API
Offers API
Supported
|
|||||
Amazon Personalize:
Screenshots and Videos |
RankLLM:
Screenshots and Videos |
|||||
Amazon Personalize:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
RankLLM:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
|
|||||
Amazon Personalize:
Reviews/
|
RankLLM:
Reviews/
|
|||||
Amazon Personalize:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
RankLLM:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Amazon Personalize:
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/personalize/
|
RankLLM:
Company InformationCastorini
Canada
github.com/castorini/rank_llm/
|
|||||
Amazon Personalize:
Alternatives |
RankLLM:
Alternatives |
|||||
| Amazon Personalize: |
RankLLM:
|
|||||
|
Amazon Personalize:
|
RankLLM:
|
|||||
| Amazon Personalize: |
RankLLM:
|
|||||
| Amazon Personalize: | RankLLM: | |||||
Amazon Personalize:
Categories |
RankLLM:
Categories |
|||||
Amazon Personalize:
Integrations
AWS AI Services
Supported
AWS App Mesh
Supported
Gemini
Not Supported
Gemini Enterprise
Not Supported
HiConversion
Supported
Llama
Not Supported
Mistral AI
Not Supported
NVIDIA TensorRT
Not Supported
OpenAI
Not Supported
Python
Not Supported
|
RankLLM:
Integrations
AWS AI Services
Not Supported
AWS App Mesh
Not Supported
Gemini
Supported
Gemini Enterprise
Supported
HiConversion
Not Supported
Llama
Supported
Mistral AI
Supported
NVIDIA TensorRT
Supported
OpenAI
Supported
Python
Supported
|
|||||
|
Amazon Personalize:
|
RankLLM:
|