Duży model językowy (Polish Wikipedia)

Analysis of information sources in references of the Wikipedia article "Duży model językowy" in Polish language version.

refsWebsite

Global rank Polish rank

24doi.org

2^nd place

6^th place

13worldcat.org

5^th place

2^nd place

12arxiv.org

69^th place

224^th place

2web.archive.org

1^st place

2openai.com

1,559^th place

1,546^th place

2mit.edu

415^th place

845^th place

2acm.org

1,185^th place

1,282^nd place

2research.google

low place

2unite.ai

low place

2nytimes.com

7^th place

29^th place

2nature.com

234^th place

204^th place

1deloitte.com

2,714^th place

4,496^th place

1mdpi.com

2,912^th place

1,138^th place

1neurips.cc

low place

1huggingface.co

low place

1venturebeat.com

616^th place

1,684^th place

1harvard.edu

18^th place

140^th place

1worldscientific.com

low place

7,974^th place

1feb.net.pl

low place

1wsiz.edu.pl

low place

1wsj.com

79^th place

418^th place

1economist.com

254^th place

514^th place

1goldmansachs.com

low place

1natlawreview.com

9,177^th place

low place

1japantimes.co.jp

389^th place

946^th place

1science.org

1,160^th place

3,068^th place

1iacr.org

5,032^nd place

6,187^th place

1scientificamerican.com

896^th place

686^th place

1apa.org

1,220^th place

1,025^th place

1jmir.org

low place

1nih.gov

4^th place

7^th place

acm.org (Global: 1,185^th place; Polish: 1,282^nd place)

dl.acm.org

MicheleM. Banko MicheleM., EricE. Brill EricE., Scaling to very very large corpora for natural language disambiguation, ACL '01, USA: Association for Computational Linguistics, 6 lipca 2001, s. 26–33, DOI: 10.3115/1073012.1073017 [dostęp 2025-04-11] .
JaredJ. Moore JaredJ. i inni, Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers., ACM, 23 czerwca 2025, s. 599–627, DOI: 10.1145/3715275.3732039, ISBN 979-8-4007-1482-5 [dostęp 2025-08-19] (ang.).

apa.org (Global: 1,220^th place; Polish: 1,025^th place)

doi.apa.org

TonyT. Rousmaniere TonyT., YimengY. Zhang YimengY., XuX. Li XuX., SiddharthS. Shah SiddharthS., Large language models as mental health resources: Patterns of use in the United States., „Practice Innovations”, 2025, DOI: 10.1037/pri0000292, ISSN 2377-8903 [dostęp 2025-08-19] (ang.).

arxiv.org (Global: 69^th place; Polish: 224^th place)

JoshuaJ. Goodman JoshuaJ., A Bit of Progress in Language Modeling, arXiv, 9 sierpnia 2001, DOI: 10.48550/arXiv.cs/0108005 [dostęp 2025-04-11] .
DzmitryD. Bahdanau DzmitryD., KyunghyunK. Cho KyunghyunK., YoshuaY. Bengio YoshuaY., Neural Machine Translation by Jointly Learning to Align and Translate, arXiv, 19 maja 2016, DOI: 10.48550/arXiv.1409.0473 [dostęp 2025-04-11] .
JacobJ. Devlin JacobJ., Ming-WeiM.W. Chang Ming-WeiM.W., KentonK. Lee KentonK., KristinaK. Toutanova KristinaK., BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, arXiv, 24 maja 2019, DOI: 10.48550/arXiv.1810.04805 [dostęp 2025-04-15] .
RajivR. Movva RajivR. i inni, Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers, arXiv, 28 kwietnia 2024, DOI: 10.48550/arXiv.2307.10700 [dostęp 2025-04-11] .
LongL. Ouyang LongL. i inni, Training language models to follow instructions with human feedback, arXiv, 4 marca 2022, DOI: 10.48550/arXiv.2203.02155 [dostęp 2025-04-11] .
NoamN. Shazeer NoamN. i inni, Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer, arXiv, 23 stycznia 2017, DOI: 10.48550/arXiv.1701.06538 [dostęp 2025-04-11] .
DmitryD. Lepikhin DmitryD. i inni, GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding, arXiv, 30 czerwca 2020, DOI: 10.48550/arXiv.2006.16668 [dostęp 2025-04-11] .
YizhongY. Wang YizhongY. i inni, Self-Instruct: Aligning Language Models with Self-Generated Instructions, arXiv, 25 maja 2023, DOI: 10.48550/arXiv.2212.10560 [dostęp 2025-04-11] .
EvanE. Hubinger EvanE. i inni, Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training, arXiv, 17 stycznia 2024, DOI: 10.48550/arXiv.2401.05566 [dostęp 2025-04-11] .
DanielD. Kang DanielD. i inni, Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks, arXiv, 11 lutego 2023, DOI: 10.48550/arXiv.2302.05733 [dostęp 2025-04-11] .
ShaoxiongS. Ji ShaoxiongS., TianlinT. Zhang TianlinT., KailaiK. Yang KailaiK., SophiaS. Ananiadou SophiaS., ErikE. Cambria ErikE., Rethinking Large Language Models in Mental Health Applications, arXiv, 17 grudnia 2023, DOI: 10.48550/arXiv.2311.11267 [dostęp 2025-08-19] (ang.).
DeclanD. Grabb DeclanD., MaxM. Lamparth MaxM., NinaN. Vasan NinaN., Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation, arXiv, 14 sierpnia 2024, DOI: 10.48550/arXiv.2406.11852 [dostęp 2025-08-19] .

deloitte.com (Global: 2,714^th place; Polish: 4,496^th place)

www2.deloitte.com

Czym jest generatywna sztuczna inteligencja? | Deloitte [online], Deloitte Polska [dostęp 2024-05-08] (pol.).

doi.org (Global: 2^nd place; Polish: 6^th place)

dx.doi.org

JoshuaJ. Goodman JoshuaJ., A Bit of Progress in Language Modeling, arXiv, 9 sierpnia 2001, DOI: 10.48550/arXiv.cs/0108005 [dostęp 2025-04-11] .
AdamA. Kilgarriff AdamA., GregoryG. Grefenstette GregoryG., Introduction to the Special Issue on the Web as Corpus, „Computational Linguistics”, 29 (3), 2003, s. 333–347, DOI: 10.1162/089120103322711569, ISSN 0891-2017 [dostęp 2025-04-11] .
MicheleM. Banko MicheleM., EricE. Brill EricE., Scaling to very very large corpora for natural language disambiguation, ACL '01, USA: Association for Computational Linguistics, 6 lipca 2001, s. 26–33, DOI: 10.3115/1073012.1073017 [dostęp 2025-04-11] .
PhilipP. Resnik PhilipP., Noah A.N.A. Smith Noah A.N.A., The Web as a Parallel Corpus, „Computational Linguistics”, 29 (3), 2003, s. 349–380, DOI: 10.1162/089120103322711578, ISSN 0891-2017 [dostęp 2025-04-11] .
Chen i inni, Review of Image Classification Algorithms Based on Convolutional Neural Networks, „Remote Sensing”, 13 (22), 2021, DOI: 10.3390/r, ISSN 2072-4292 [dostęp 2025-04-11] [zarchiwizowane z adresu 2025-03-07] (ang.).
DzmitryD. Bahdanau DzmitryD., KyunghyunK. Cho KyunghyunK., YoshuaY. Bengio YoshuaY., Neural Machine Translation by Jointly Learning to Align and Translate, arXiv, 19 maja 2016, DOI: 10.48550/arXiv.1409.0473 [dostęp 2025-04-11] .
JacobJ. Devlin JacobJ., Ming-WeiM.W. Chang Ming-WeiM.W., KentonK. Lee KentonK., KristinaK. Toutanova KristinaK., BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, arXiv, 24 maja 2019, DOI: 10.48550/arXiv.1810.04805 [dostęp 2025-04-15] .
RajivR. Movva RajivR. i inni, Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers, arXiv, 28 kwietnia 2024, DOI: 10.48550/arXiv.2307.10700 [dostęp 2025-04-11] .
LongL. Ouyang LongL. i inni, Training language models to follow instructions with human feedback, arXiv, 4 marca 2022, DOI: 10.48550/arXiv.2203.02155 [dostęp 2025-04-11] .
NoamN. Shazeer NoamN. i inni, Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer, arXiv, 23 stycznia 2017, DOI: 10.48550/arXiv.1701.06538 [dostęp 2025-04-11] .
DmitryD. Lepikhin DmitryD. i inni, GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding, arXiv, 30 czerwca 2020, DOI: 10.48550/arXiv.2006.16668 [dostęp 2025-04-11] .
TaraT. Baldacchino TaraT., Elizabeth J.E.J. Cross Elizabeth J.E.J., KeithK. Worden KeithK., JenniferJ. Rowson JenniferJ., Variational Bayesian mixture of experts models and sensitivity analysis for nonlinear dynamical systems, „Mechanical Systems and Signal Processing”, 66, 2016, s. 178–200, DOI: 10.1016/j.ymssp.2015.05.009, ISSN 0888-3270 [dostęp 2025-04-11] .
Pattern Classification Using Ensemble Methods | Series in Machine Perception and Artificial Intelligence, www.worldscientific.com, DOI: 10.1142/7238#t=aboutbook [dostęp 2025-04-11] (ang.).
YizhongY. Wang YizhongY. i inni, Self-Instruct: Aligning Language Models with Self-Generated Instructions, arXiv, 25 maja 2023, DOI: 10.48550/arXiv.2212.10560 [dostęp 2025-04-11] .
ElizabethE. Gibney ElizabethE., China’s cheap, open AI model DeepSeek thrills scientists, „Nature”, 638 (8049), 2025, s. 13–14, DOI: 10.1038/d41586-025-00229-6, ISSN 1476-4687 [dostęp 2025-04-11] (ang.).
Prepare for truly useful large language models, „Nature Biomedical Engineering”, 7 (2), 2023, s. 85–86, DOI: 10.1038/s41551-023-01012-6, ISSN 2157-846X [dostęp 2025-04-11] (ang.).
EvanE. Hubinger EvanE. i inni, Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training, arXiv, 17 stycznia 2024, DOI: 10.48550/arXiv.2401.05566 [dostęp 2025-04-11] .
DanielD. Kang DanielD. i inni, Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks, arXiv, 11 lutego 2023, DOI: 10.48550/arXiv.2302.05733 [dostęp 2025-04-11] .
Innkommet litteratur, „Heimen”, 54 (4), 2017, s. 365–368, DOI: 10.18261/issn.1894-3195-2017-04-10, ISSN 0017-9841 [dostęp 2025-08-19] .
TonyT. Rousmaniere TonyT., YimengY. Zhang YimengY., XuX. Li XuX., SiddharthS. Shah SiddharthS., Large language models as mental health resources: Patterns of use in the United States., „Practice Innovations”, 2025, DOI: 10.1037/pri0000292, ISSN 2377-8903 [dostęp 2025-08-19] (ang.).
ShaoxiongS. Ji ShaoxiongS., TianlinT. Zhang TianlinT., KailaiK. Yang KailaiK., SophiaS. Ananiadou SophiaS., ErikE. Cambria ErikE., Rethinking Large Language Models in Mental Health Applications, arXiv, 17 grudnia 2023, DOI: 10.48550/arXiv.2311.11267 [dostęp 2025-08-19] (ang.).
JaredJ. Moore JaredJ. i inni, Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers., ACM, 23 czerwca 2025, s. 599–627, DOI: 10.1145/3715275.3732039, ISBN 979-8-4007-1482-5 [dostęp 2025-08-19] (ang.).
DeclanD. Grabb DeclanD., MaxM. Lamparth MaxM., NinaN. Vasan NinaN., Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation, arXiv, 14 sierpnia 2024, DOI: 10.48550/arXiv.2406.11852 [dostęp 2025-08-19] .
Ryan KR.K. McBain Ryan KR.K. i inni, Competency of Large Language Models in Evaluating Appropriate Responses to Suicidal Ideation: Comparative Study, „Journal of Medical Internet Research”, 27, 2025, e67891, DOI: 10.2196/67891, ISSN 1438-8871, PMID: 40053817, PMCID: PMC11928068 [dostęp 2025-08-19] (ang.).

economist.com (Global: 254^th place; Polish: 514^th place)

Your job is (probably) safe from artificial intelligence, „The Economist”, ISSN 0013-0613 [dostęp 2025-04-11] .

feb.net.pl (Global: low place; Polish: low place)

Large Language Model (LLM)? - FEB [online], feb.net.pl [dostęp 2025-02-13] .

goldmansachs.com (Global: low place; Polish: low place)

Generative AI could raise global GDP by 7% [online], www.goldmansachs.com (ang.).

harvard.edu (Global: 18^th place; Polish: 140^th place)

ui.adsabs.harvard.edu

TaraT. Baldacchino TaraT., Elizabeth J.E.J. Cross Elizabeth J.E.J., KeithK. Worden KeithK., JenniferJ. Rowson JenniferJ., Variational Bayesian mixture of experts models and sensitivity analysis for nonlinear dynamical systems, „Mechanical Systems and Signal Processing”, 66, 2016, s. 178–200, DOI: 10.1016/j.ymssp.2015.05.009, ISSN 0888-3270 [dostęp 2025-04-11] .

huggingface.co (Global: low place; Polish: low place)

bigscience/bloom · Hugging Face [online], huggingface.co [dostęp 2025-04-11] .

iacr.org (Global: 5,032^nd place; Polish: 6,187^th place)

eprint.iacr.org

Encryption Based Covert Channel for Large Language Models [online], IACR ePrint 2024/586, 2024 .

japantimes.co.jp (Global: 389^th place; Polish: 946^th place)

DaveyD. Alba DaveyD., AI chatbots have been used to create dozens of news content farms [online], The Japan Times, 1 maja 2023 [dostęp 2025-04-11] (ang.).

jmir.org (Global: low place; Polish: low place)

Ryan KR.K. McBain Ryan KR.K. i inni, Competency of Large Language Models in Evaluating Appropriate Responses to Suicidal Ideation: Comparative Study, „Journal of Medical Internet Research”, 27, 2025, e67891, DOI: 10.2196/67891, ISSN 1438-8871, PMID: 40053817, PMCID: PMC11928068 [dostęp 2025-08-19] (ang.).

mdpi.com (Global: 2,912^th place; Polish: 1,138^th place)

Chen i inni, Review of Image Classification Algorithms Based on Convolutional Neural Networks, „Remote Sensing”, 13 (22), 2021, DOI: 10.3390/r, ISSN 2072-4292 [dostęp 2025-04-11] [zarchiwizowane z adresu 2025-03-07] (ang.).

mit.edu (Global: 415^th place; Polish: 845^th place)

direct.mit.edu

AdamA. Kilgarriff AdamA., GregoryG. Grefenstette GregoryG., Introduction to the Special Issue on the Web as Corpus, „Computational Linguistics”, 29 (3), 2003, s. 333–347, DOI: 10.1162/089120103322711569, ISSN 0891-2017 [dostęp 2025-04-11] .
PhilipP. Resnik PhilipP., Noah A.N.A. Smith Noah A.N.A., The Web as a Parallel Corpus, „Computational Linguistics”, 29 (3), 2003, s. 349–380, DOI: 10.1162/089120103322711578, ISSN 0891-2017 [dostęp 2025-04-11] .

natlawreview.com (Global: 9,177^th place; Polish: low place)

Artificial Intelligence Copyright Challenges in US Courts Surge [online], natlawreview.com [dostęp 2025-04-11] (ang.).

nature.com (Global: 234^th place; Polish: 204^th place)

ElizabethE. Gibney ElizabethE., China’s cheap, open AI model DeepSeek thrills scientists, „Nature”, 638 (8049), 2025, s. 13–14, DOI: 10.1038/d41586-025-00229-6, ISSN 1476-4687 [dostęp 2025-04-11] (ang.).
Prepare for truly useful large language models, „Nature Biomedical Engineering”, 7 (2), 2023, s. 85–86, DOI: 10.1038/s41551-023-01012-6, ISSN 2157-846X [dostęp 2025-04-11] (ang.).

neurips.cc (Global: low place; Polish: low place)

proceedings.neurips.cc

Vaswani i inni, Attention is All you Need [online], Advances in Neural Information Processing Systems. 30. Curran Associates, Inc, 2017 (ang.).

nih.gov (Global: 4^th place; Polish: 7^th place)

ncbi.nlm.nih.gov

Ryan KR.K. McBain Ryan KR.K. i inni, Competency of Large Language Models in Evaluating Appropriate Responses to Suicidal Ideation: Comparative Study, „Journal of Medical Internet Research”, 27, 2025, e67891, DOI: 10.2196/67891, ISSN 1438-8871, PMID: 40053817, PMCID: PMC11928068 [dostęp 2025-08-19] (ang.).

nytimes.com (Global: 7^th place; Polish: 29^th place)

CadeC. Metz CadeC., OpenAI Unveils New ChatGPT That Can Reason Through Math and Science, „The New York Times”, 12 września 2024, ISSN 0362-4331 [dostęp 2025-07-16] (ang.).
CadeC. Metz CadeC., OpenAI Unveils New A.I. That Can ‘Reason’ Through Math and Science Problems, „The New York Times”, 20 grudnia 2024, ISSN 0362-4331 [dostęp 2025-04-11] (ang.).

openai.com (Global: 1,559^th place; Polish: 1,546^th place)

OpenAI: Better language models and their implications. [dostęp 2024-05-08]. [zarchiwizowane z tego adresu (2020-12-19)].
Introducing OpenAI o1 [online], openai.com [dostęp 2025-04-11] (ang.).

research.google (Global: low place; Polish: low place)

Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processin [online], research.google [dostęp 2025-04-15] (ang.).
More Efficient In-Context Learning with GLaM [online], research.google [dostęp 2025-04-11] (ang.).

science.org (Global: 1,160^th place; Polish: 3,068^th place)

Could chatbots help devise the next pandemic virus? [online], www.science.org [dostęp 2025-04-11] (ang.).

scientificamerican.com (Global: 896^th place; Polish: 686^th place)

ChrisCh. Stokel-Walker ChrisCh., ChatGPT Replicates Gender Bias in Recommendation Letters [online], Scientific American [dostęp 2025-04-11] (ang.).

unite.ai (Global: low place; Polish: low place)

Dr TehseenD.T. Zia Dr TehseenD.T., Unveiling of Large Multimodal Models: Shaping the Landscape of Language Models in 2024 [online], Unite.AI, 8 stycznia 2024 [dostęp 2025-04-11] (ang.).
Dr TehseenD.T. Zia Dr TehseenD.T., Unveiling of Large Multimodal Models: Shaping the Landscape of Language Models in 2024 [online], Unite.AI, 8 stycznia 2024 [dostęp 2025-04-11] (ang.).

venturebeat.com (Global: 616^th place; Polish: 1,684^th place)

ShubhamS. Sharma ShubhamS., Open-source DeepSeek-R1 uses pure reinforcement learning to match OpenAI o1 — at 95% less cost [online], VentureBeat, 20 stycznia 2025 [dostęp 2025-04-11] (ang.).

web.archive.org (Global: 1^st place; Polish: 1^st place)

OpenAI: Better language models and their implications. [dostęp 2024-05-08]. [zarchiwizowane z tego adresu (2020-12-19)].
Chen i inni, Review of Image Classification Algorithms Based on Convolutional Neural Networks, „Remote Sensing”, 13 (22), 2021, DOI: 10.3390/r, ISSN 2072-4292 [dostęp 2025-04-11] [zarchiwizowane z adresu 2025-03-07] (ang.).

worldcat.org (Global: 5^th place; Polish: 2^nd place)

AdamA. Kilgarriff AdamA., GregoryG. Grefenstette GregoryG., Introduction to the Special Issue on the Web as Corpus, „Computational Linguistics”, 29 (3), 2003, s. 333–347, DOI: 10.1162/089120103322711569, ISSN 0891-2017 [dostęp 2025-04-11] .
PhilipP. Resnik PhilipP., Noah A.N.A. Smith Noah A.N.A., The Web as a Parallel Corpus, „Computational Linguistics”, 29 (3), 2003, s. 349–380, DOI: 10.1162/089120103322711578, ISSN 0891-2017 [dostęp 2025-04-11] .
Chen i inni, Review of Image Classification Algorithms Based on Convolutional Neural Networks, „Remote Sensing”, 13 (22), 2021, DOI: 10.3390/r, ISSN 2072-4292 [dostęp 2025-04-11] [zarchiwizowane z adresu 2025-03-07] (ang.).
CadeC. Metz CadeC., OpenAI Unveils New ChatGPT That Can Reason Through Math and Science, „The New York Times”, 12 września 2024, ISSN 0362-4331 [dostęp 2025-07-16] (ang.).
TaraT. Baldacchino TaraT., Elizabeth J.E.J. Cross Elizabeth J.E.J., KeithK. Worden KeithK., JenniferJ. Rowson JenniferJ., Variational Bayesian mixture of experts models and sensitivity analysis for nonlinear dynamical systems, „Mechanical Systems and Signal Processing”, 66, 2016, s. 178–200, DOI: 10.1016/j.ymssp.2015.05.009, ISSN 0888-3270 [dostęp 2025-04-11] .
CadeC. Metz CadeC., OpenAI Unveils New A.I. That Can ‘Reason’ Through Math and Science Problems, „The New York Times”, 20 grudnia 2024, ISSN 0362-4331 [dostęp 2025-04-11] (ang.).
ElizabethE. Gibney ElizabethE., China’s cheap, open AI model DeepSeek thrills scientists, „Nature”, 638 (8049), 2025, s. 13–14, DOI: 10.1038/d41586-025-00229-6, ISSN 1476-4687 [dostęp 2025-04-11] (ang.).
BelleB. Lin BelleB., Why Amazon is Betting on ‘Automated Reasoning’ to Reduce AI’s Hallucinations, „Wall Street Journal”, 5 lutego 2025, ISSN 0099-9660 [dostęp 2025-04-11] (ang.).
Prepare for truly useful large language models, „Nature Biomedical Engineering”, 7 (2), 2023, s. 85–86, DOI: 10.1038/s41551-023-01012-6, ISSN 2157-846X [dostęp 2025-04-11] (ang.).
Your job is (probably) safe from artificial intelligence, „The Economist”, ISSN 0013-0613 [dostęp 2025-04-11] .
Innkommet litteratur, „Heimen”, 54 (4), 2017, s. 365–368, DOI: 10.18261/issn.1894-3195-2017-04-10, ISSN 0017-9841 [dostęp 2025-08-19] .
TonyT. Rousmaniere TonyT., YimengY. Zhang YimengY., XuX. Li XuX., SiddharthS. Shah SiddharthS., Large language models as mental health resources: Patterns of use in the United States., „Practice Innovations”, 2025, DOI: 10.1037/pri0000292, ISSN 2377-8903 [dostęp 2025-08-19] (ang.).
Ryan KR.K. McBain Ryan KR.K. i inni, Competency of Large Language Models in Evaluating Appropriate Responses to Suicidal Ideation: Comparative Study, „Journal of Medical Internet Research”, 27, 2025, e67891, DOI: 10.2196/67891, ISSN 1438-8871, PMID: 40053817, PMCID: PMC11928068 [dostęp 2025-08-19] (ang.).

worldscientific.com (Global: low place; Polish: 7,974^th place)

Pattern Classification Using Ensemble Methods | Series in Machine Perception and Artificial Intelligence, www.worldscientific.com, DOI: 10.1142/7238#t=aboutbook [dostęp 2025-04-11] (ang.).

wsiz.edu.pl (Global: low place; Polish: low place)

zielonyblog.wsiz.edu.pl

AnnaA. Klee-Bylica AnnaA., Czy wiesz, jak dużo energii potrzebuje sztuczna inteligencja? [online], Zielony blog WSIiZ, 16 maja 2024 [dostęp 2025-02-13] .

wsj.com (Global: 79^th place; Polish: 418^th place)

BelleB. Lin BelleB., Why Amazon is Betting on ‘Automated Reasoning’ to Reduce AI’s Hallucinations, „Wall Street Journal”, 5 lutego 2025, ISSN 0099-9660 [dostęp 2025-04-11] (ang.).

Duży model językowy (Polish Wikipedia)

acm.org (Global: 1,185th place; Polish: 1,282nd place)

dl.acm.org

apa.org (Global: 1,220th place; Polish: 1,025th place)

doi.apa.org

arxiv.org (Global: 69th place; Polish: 224th place)

deloitte.com (Global: 2,714th place; Polish: 4,496th place)

www2.deloitte.com

doi.org (Global: 2nd place; Polish: 6th place)

dx.doi.org

economist.com (Global: 254th place; Polish: 514th place)

feb.net.pl (Global: low place; Polish: low place)

goldmansachs.com (Global: low place; Polish: low place)

harvard.edu (Global: 18th place; Polish: 140th place)

ui.adsabs.harvard.edu

huggingface.co (Global: low place; Polish: low place)

iacr.org (Global: 5,032nd place; Polish: 6,187th place)

eprint.iacr.org

japantimes.co.jp (Global: 389th place; Polish: 946th place)

jmir.org (Global: low place; Polish: low place)

mdpi.com (Global: 2,912th place; Polish: 1,138th place)

mit.edu (Global: 415th place; Polish: 845th place)

direct.mit.edu

natlawreview.com (Global: 9,177th place; Polish: low place)

nature.com (Global: 234th place; Polish: 204th place)

neurips.cc (Global: low place; Polish: low place)

proceedings.neurips.cc

nih.gov (Global: 4th place; Polish: 7th place)

ncbi.nlm.nih.gov

nytimes.com (Global: 7th place; Polish: 29th place)

openai.com (Global: 1,559th place; Polish: 1,546th place)

research.google (Global: low place; Polish: low place)

science.org (Global: 1,160th place; Polish: 3,068th place)

scientificamerican.com (Global: 896th place; Polish: 686th place)

unite.ai (Global: low place; Polish: low place)

venturebeat.com (Global: 616th place; Polish: 1,684th place)

web.archive.org (Global: 1st place; Polish: 1st place)

worldcat.org (Global: 5th place; Polish: 2nd place)

worldscientific.com (Global: low place; Polish: 7,974th place)

wsiz.edu.pl (Global: low place; Polish: low place)

zielonyblog.wsiz.edu.pl

wsj.com (Global: 79th place; Polish: 418th place)

acm.org (Global: 1,185^th place; Polish: 1,282^nd place)

apa.org (Global: 1,220^th place; Polish: 1,025^th place)

arxiv.org (Global: 69^th place; Polish: 224^th place)

deloitte.com (Global: 2,714^th place; Polish: 4,496^th place)

doi.org (Global: 2^nd place; Polish: 6^th place)

economist.com (Global: 254^th place; Polish: 514^th place)

harvard.edu (Global: 18^th place; Polish: 140^th place)

iacr.org (Global: 5,032^nd place; Polish: 6,187^th place)

japantimes.co.jp (Global: 389^th place; Polish: 946^th place)

mdpi.com (Global: 2,912^th place; Polish: 1,138^th place)

mit.edu (Global: 415^th place; Polish: 845^th place)

natlawreview.com (Global: 9,177^th place; Polish: low place)

nature.com (Global: 234^th place; Polish: 204^th place)

nih.gov (Global: 4^th place; Polish: 7^th place)

nytimes.com (Global: 7^th place; Polish: 29^th place)

openai.com (Global: 1,559^th place; Polish: 1,546^th place)

science.org (Global: 1,160^th place; Polish: 3,068^th place)

scientificamerican.com (Global: 896^th place; Polish: 686^th place)

venturebeat.com (Global: 616^th place; Polish: 1,684^th place)

web.archive.org (Global: 1^st place; Polish: 1^st place)

worldcat.org (Global: 5^th place; Polish: 2^nd place)

worldscientific.com (Global: low place; Polish: 7,974^th place)

wsj.com (Global: 79^th place; Polish: 418^th place)