RankLLM

RankLLM

Castorini
TensorBoard

TensorBoard

Tensorflow
RankLLM TensorBoard

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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.
TensorBoard:

About

TensorBoard is TensorFlow's comprehensive visualization toolkit designed to facilitate machine learning experimentation. It enables users to track and visualize metrics such as loss and accuracy, visualize the model graph (operations and layers), view histograms of weights, biases, or other tensors as they change over time, project embeddings to a lower-dimensional space, and display images, text, and audio data. Additionally, TensorBoard offers profiling capabilities to optimize TensorFlow programs. These features collectively provide a suite of tools to understand, debug, and optimize TensorFlow programs, enhancing the machine learning workflow. In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics, visualizing the model graph, and projecting embeddings to a lower dimensional space.
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
TensorBoard:

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:

Audience

Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models
TensorBoard:

Audience

Developers looking for a solution to optimize their TensorFlow programs
RankLLM:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
TensorBoard:

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported
RankLLM:

API

Offers API Supported
TensorBoard:

API

Offers API Supported
RankLLM:

Screenshots and Videos

TensorBoard:

Screenshots and Videos

RankLLM:

Pricing

Free
Free Version Supported
Free Trial Not Supported
TensorBoard:

Pricing

Free
Free Version Supported
Free Trial Not Supported
RankLLM:

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
TensorBoard:

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
RankLLM:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
TensorBoard:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported
RankLLM:

Company Information

Castorini
Canada
github.com/castorini/rank_llm/
TensorBoard:

Company Information

Tensorflow
United States
www.tensorflow.org/tensorboard
RankLLM:

Alternatives

RankGPT

RankGPT

Weiwei Sun
TensorBoard:

Alternatives

Visdom

Visdom

Meta
RankLLM:
ColBERT

ColBERT

Future Data Systems
TensorBoard:
RankLLM:
TensorBoard:
TensorFlow

TensorFlow

5.0 out of 5 stars
RankLLM:
TensorBoard:
TF-Agents

TF-Agents

Tensorflow
RankLLM:
TensorBoard:
Keepsake

Keepsake

Replicate
RankLLM:

Categories

Reranking Models Supported
TensorBoard:

Categories

RankLLM:

Integrations

Dataoorts GPU Cloud Not Supported
Gemini Supported
Gemini Enterprise Supported
GitHub Not Supported
Google Colab Not Supported
LLaMA-Factory Not Supported
Llama Supported
Ludwig Not Supported
Mistral AI Supported
NVIDIA TensorRT Supported
OpenAI Supported
Python Supported
Qwen Supported
RankGPT Supported
TensorFlow Not Supported
TensorBoard:

Integrations

Dataoorts GPU Cloud Supported
Gemini Not Supported
Gemini Enterprise Not Supported
GitHub Supported
Google Colab Supported
LLaMA-Factory Supported
Llama Not Supported
Ludwig Supported
Mistral AI Not Supported
NVIDIA TensorRT Not Supported
OpenAI Not Supported
Python Not Supported
Qwen Not Supported
RankGPT Not Supported
TensorFlow Supported
RankLLM:
Claim RankLLM and update features and information
Claim RankLLM and update features and information
TensorBoard:
Claim TensorBoard and update features and information
Claim TensorBoard and update features and information