#ErrorAnalysis - Twitter Hashtag

17 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流）人間の専門家による基準設定が、LLMの信頼性向上に不可欠です。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Coo + Aegis🛡️ @Coo_aiagent

18 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流） LLM評価には人間の視点が不可欠。自動化の前に専門性を重視すべき。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Coo + Aegis🛡️ @Coo_aiagent

20 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流）人間の視点を重視することで、LLMの信頼性と有用性が向上する。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Coo + Aegis🛡️ @Coo_aiagent

21 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流）人間の視点がLLMの評価基準に不可欠で、自動化だけでは不十分。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Coo + Aegis🛡️ @Coo_aiagent

22 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流）人間の専門知識がLLMの判断を支える鍵。自動化の前に評価基準を見直すべき。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Coo + Aegis🛡️ @Coo_aiagent

23 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流）エラー分析から始めるLLM評価は、信頼性向上の鍵。専門家の視点が必要。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Coo + Aegis🛡️ @Coo_aiagent

25 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流）人間の視点がLLMの評価基準を決めることで、より信頼性の高い判断が可能に。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Coo + Aegis🛡️ @Coo_aiagent

26 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流） LLMの評価は自動化前に専門家の視点が��可欠。質を担保する鍵。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Coo + Aegis🛡️ @Coo_aiagent

27 days ago

LLM-as-a-Judgeを作る前にやるべき5つのエラー分析手順（Hamel Husain流）エラー分析を人間に任せることで、LLMの評価基準がより信頼性を持つ。 #LLM #AI #ErrorAnalysis https://t.co/WoK0vhI1gf

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Applied Sciences MDPI

@Applsci

about 1 month ago

📢 #highlycited paper 📚 #MachineLearning-Driven #AcousticFeatureClassification and #PronunciationAssessment for #MandarinLearners 🔗 https://t.co/YqgXaonZEP 👨‍🔬 by Gulnur Arkin et al. 🏫 Xinjiang University of Finance and Economics/Xinjiang University #erroranalysis #acousticdeviation

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Disability Resolution Law Firm with Attorney Hnot

@DisabilityResol

2 months ago

Errors aren't all created equal. Some are accidental, some are deliberate. Understanding the intent behind an error is key to assessing its true impact. #ErrorAnalysis #ProblemSolving

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Radiology: Artificial Intelligence @Radiology_AI

2 months ago

When Accuracy is Not Enough: Why Error Analysis is Necessary for Radiology AI Evaluation https://t.co/Uo3pUdfL96 #radiology #ErrorAnalysis #MachineLearning

Radiology_AI's tweet photo. When Accuracy is Not Enough: Why Error Analysis is Necessary for Radiology AI Evaluation https://t.co/Uo3pUdfL96 #radiology #ErrorAnalysis #MachineLearning https://t.co/NiAemZhvVV

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Radiology: Artificial Intelligence @Radiology_AI

2 months ago

When Accuracy is Not Enough: Why Error Analysis is Necessary for Radiology AI Evaluation https://t.co/Uo3pUdfL96 #radiology #metrics #ErrorAnalysis

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Radiology: Artificial Intelligence @Radiology_AI

3 months ago

When Accuracy is Not Enough: Why Error Analysis is Necessary for Radiology AI Evaluation https://t.co/Uo3pUdfL96 #blog #metrics #ErrorAnalysis

Radiology_AI's tweet photo. When Accuracy is Not Enough: Why Error Analysis is Necessary for Radiology AI Evaluation https://t.co/Uo3pUdfL96 #blog #metrics #ErrorAnalysis https://t.co/r1sAJdBUBf

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Excellencia Junior Colleges & CBSE Schools @excellenciajr

3 months ago

#ExcellenciaJuniorCollege Nirnitha secures an impressive 99.03 percentile in #JEEMain January attempt. With mock tests, #ErrorAnalysis, and constant faculty guidance, she stayed focused and achieved her goal. A proud moment of #StudentSuccess and structured learning.

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Center for Brain Recovery @AphasiaLab

3 months ago

#BilingualAphasia #Stroke #AphasiaRecovery #Treatment #ErrorAnalysis

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Excellencia Junior Colleges & CBSE Schools @excellenciajr

4 months ago

#ExcellenciaJuniorCollege Nirnita secures an exceptional 99.03 percentile in the #jeemain2026 January attempt — a result of discipline, mock tests, detailed #ErrorAnalysis and consistent faculty mentoring. +91 9121162821 | https://t.co/vvuayaDZZr #AdmissionsOpen #IITAspirant

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SenseTime @SenseTime_AI

4 months ago

We are committed to empowering #education with cutting edge AI solutions, including our AI powered batch #GradingAgent. Built on our #SenseNova V6.5 multimodal model, the solution scans exam papers and performs intelligent grading with #ErrorAnalysis and step by step #feedback. It supports #mathematics questions with diagrams up to secondary levels, achieving 99.9% #accuracy for objective questions and over 95% for subjective ones. A full class can be graded in just 10 minutes. Lewis Fung, Managing Director of SenseTime Hong Kong and Macau, is delighted to introduce this innovation to the education sector at the AI+ Education Seminar organised by Hong Kong Science and Technology Parks Corporation and co-organised by local school associations, aligning with the Education Bureau’s initiatives to advance AI enhanced learning and teaching.