RankLLMCastorini
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Related Products
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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.
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About
Tensor's mission is to become the trading venue for the pro-NFT trader. We started Tensor become we ourselves were flipping NFTs daily and weren't satisfied with existing tooling. We wanted something faster, with better coverage, more data, and advanced order types, and so Tensor was born. When you go to Tensor you'll find a single coherent dApp, but under the hood, we actually have a few moving parts. Bonding-curve-based orders: linear & exponential, lets you DCA into/out of NFTs! Instant new collection listings (we appreciate traders want to always trade the latest stuff). Earn trading fees & LP rewards by providing liquidity and creating markets for your favorite NFT collections on TensorSwap. Market-makers are important because they make markets more liquid, meaning they let other traders enter/exit the market at a more favorable price.
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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
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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
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Audience
Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models
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Audience
Individuals searching for a powerful NFT Marketplace platform
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationCastorini
Canada
github.com/castorini/rank_llm/
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Company InformationTensor
www.tensor.trade/
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Categories |
Categories |
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Integrations
Base App
Not Supported
Brave Browser
Not Supported
Brave Wallet
Not Supported
Gemini
Supported
Gemini Enterprise
Supported
Glow Wallet
Not Supported
Ledger
Not Supported
Llama
Supported
Mistral AI
Supported
NVIDIA TensorRT
Supported
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Integrations
Base App
Supported
Brave Browser
Supported
Brave Wallet
Supported
Gemini
Not Supported
Gemini Enterprise
Not Supported
Glow Wallet
Supported
Ledger
Supported
Llama
Not Supported
Mistral AI
Not Supported
NVIDIA TensorRT
Not Supported
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