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Domain Informations
Network
- inetnum : 199.59.243.0 - 199.59.243.255
- name : BODIS-A
- handle : NET-199-59-243-0-1
- status : Reassigned
- created : 2010-09-27
- changed : 2021-10-16
Owner
- organization : Bodis, LLC
- handle : BODIS-1
- address : Array,Tampa,FL,33609,US
Abuse
- handle : BODIS2-ARIN
- name : Bodis Abuse
- phone : +1-877-263-4744
- email : [email protected]
Technical support
- handle : BODIS1-ARIN
- name : Bodis Administrator
- phone : +1-877-263-4744
- email : [email protected]
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Host Informations
| Host name | 199.59.243.226 |
| IP address | 199.59.243.226 |
| Location | United States |
| Latitude | 37.751 |
| Longitude | -97.822 |
| Timezone | America/Chicago |
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Mmlu2.asiaDA: 10 PA: 10 MOZ Rank: 11
GitHub - hendrycks/test: Measuring Massive Multitask …
13 rows This is the repository for Measuring Massive Multitask Language Understanding …
Github.comDA: 10 PA: 15 MOZ Rank: 26
GPT-4 - OpenAI
Mar 14, 2023 Many existing ML benchmarks are written in English. To get an initial sense of capability in other languages, we translated the MMLU benchmark—a suite of 14,000 …
Openai.comDA: 10 PA: 15 MOZ Rank: 27
[2009.03300] Measuring Massive Multitask Language …
Sep 7, 2020 Measuring Massive Multitask Language Understanding. We propose a new test to measure a text model's multitask accuracy. The test covers 57 tasks including …
Arxiv.orgDA: 9 PA: 15 MOZ Rank: 27
HuggingFaceH4/open_llm_leaderboard · MMLU blog post …
Hugging Face H4 org Jun 23, 2023. This is a discussion page for the blog post diving in all the various ways MMLU can be evaluated (in particular for the Falcon and LLaMA …
Huggingface.coDA: 14 PA: 50 MOZ Rank: 75
MMLU Benchmark (Multi-task Language Understanding) - Papers …
2022. The current state-of-the-art on MMLU is Gemini Ultra (CoT-SC@32). See a full comparison of 80 papers with code.
Paperswithcode.comDA: 18 PA: 47 MOZ Rank: 70
Measuring Massive Multitask Language Understanding
Measuring Massive Multitask Language Understanding - arXiv.org ... a
Arxiv.orgDA: 9 PA: 19 MOZ Rank: 34
Introducing Gemini: Google’s most capable AI model yet
Dec 6, 2023 With a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a …
Blog.googleDA: 11 PA: 32 MOZ Rank: 50
MMLU Dataset | Papers With Code
MMLU ( Massive Multitask Language Understanding) is a new benchmark designed to measure knowledge acquired during pretraining by evaluating models exclusively in zero …
Paperswithcode.comDA: 18 PA: 13 MOZ Rank: 39
Martin Midstream Partners L.P - About Us
Services. Locations. Martin Midstream Partners L.P. is a publicly traded limited partnership with a diverse set of operations focused primarily in the United States Gulf Coast region. …
Mmlp.comDA: 8 PA: 10 MOZ Rank: 27
Brief Review — MMLU: Measuring Massive Multitask language …
Nov 30, 2023 The Massive Multitask Language Understanding (MMLU) test covers 57 tasks including elementary mathematics, US history, computer science, law, and more. …
Sh-tsang.medium.comDA: 19 PA: 50 MOZ Rank: 40
What Is Multi-Task Language Understanding or MMLU?
Dec 19, 2023 MMLU is underpinned by a massive multitask test-set consisting of multiple-choice questions from various branches of knowledge. The test spans the humanities, …
Cobusgreyling.medium.comDA: 24 PA: 50 MOZ Rank: 98
cais/mmlu · Datasets at Hugging Face
Mmlu. Tasks: Question Answering. Sub-tasks: multiple-choice-qa. Languages: English. Multilinguality: monolingual. Size Categories: 10K<n<100K. Language Creators: expert …
Huggingface.coDA: 14 PA: 19 MOZ Rank: 45
GitHub - Helw150/mmlu: Measuring Massive Multitask Language ...
Measuring Massive Multitask Language Understanding. This is the repository for Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven …
Github.comDA: 10 PA: 13 MOZ Rank: 36
MMLU Benchmark (Massive Multi-task Language Understanding) …
The MMLU Benchmark, or Massive Multi-task Language Understanding, is an LLM evaluation test dataset split into a few-shot development set, a 1540-question validation …
Klu.aiDA: 6 PA: 19 MOZ Rank: 39
Measuring Massive Multitask Language Understanding
Sep 7, 2020 We propose a new test to measure a text model's multitask accuracy. The test covers 57 tasks including elementary mathematics, US history, computer science, law, …
Paperswithcode.comDA: 18 PA: 43 MOZ Rank: 76
GitHub - standardgalactic/mmlu: Measuring Massive Multitask …
This is the repository for Measuring Massive Multitask Language Understanding by Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and …
Github.comDA: 10 PA: 22 MOZ Rank: 48
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