RankLLMCastorini
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Related Products
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FutureHouse:
About
FutureHouse is a nonprofit AI research lab focused on automating scientific discovery in biology and other complex sciences. FutureHouse features superintelligent AI agents designed to assist scientists in accelerating research processes. It is optimized for retrieving and summarizing information from scientific literature, achieving state-of-the-art performance on benchmarks like RAG-QA Arena's science benchmark. It employs an agentic approach, allowing for iterative query expansion, LLM re-ranking, contextual summarization, and document citation traversal to enhance retrieval accuracy. FutureHouse also offers a framework for training language agents on challenging scientific tasks, enabling agents to perform tasks such as protein engineering, literature summarization, and molecular cloning. Their LAB-Bench benchmark evaluates language models on biology research tasks, including information extraction, database retrieval, etc.
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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.
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FutureHouse:
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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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
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FutureHouse:
Audience
Academic researchers and scientists in need of a solution to enhance and accelerate their scientific discovery processes
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RankLLM:
Audience
Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models
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FutureHouse:
Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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RankLLM:
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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FutureHouse:
API
Offers API
Not Supported
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RankLLM:
API
Offers API
Supported
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FutureHouse:
Screenshots and Videos |
RankLLM:
Screenshots and Videos |
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FutureHouse:
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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RankLLM:
Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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FutureHouse:
Reviews/
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RankLLM:
Reviews/
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FutureHouse:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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RankLLM:
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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FutureHouse:
Company InformationFutureHouse
Founded: 2023
United States
www.futurehouse.org
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RankLLM:
Company InformationCastorini
Canada
github.com/castorini/rank_llm/
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FutureHouse:
Alternatives |
RankLLM:
Alternatives |
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RankLLM:
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RankLLM:
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FutureHouse:
Categories |
RankLLM:
Categories |
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FutureHouse:
Integrations
Gemini
Not Supported
Gemini Enterprise
Not Supported
Llama
Not Supported
Mistral AI
Not Supported
NVIDIA TensorRT
Not Supported
OpenAI
Not Supported
Python
Not Supported
Qwen
Not Supported
RankGPT
Not Supported
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RankLLM:
Integrations
Gemini
Supported
Gemini Enterprise
Supported
Llama
Supported
Mistral AI
Supported
NVIDIA TensorRT
Supported
OpenAI
Supported
Python
Supported
Qwen
Supported
RankGPT
Supported
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FutureHouse:
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RankLLM:
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