• LLM as a Judge: Can AI Evaluate Itself?

  • 2025/03/22
  • 再生時間： 32 分
  • ポッドキャスト

LLM as a Judge: Can AI Evaluate Itself?

無料で聴く

ポッドキャストの詳細を見る

  • サマリー

  • In the second episode of Gradient Descent, Vishnu Vettrivel (CTO of Wisecube) and Alex Thomas (Principal Data Scientist) explore the innovative yet controversial idea of using LLMs to judge and evaluate other AI systems. They discuss the hidden human role in AI training, limitations of traditional benchmarks, automated evaluation strengths and weaknesses, and best practices for building reliable AI judgment systems.Timestamps:00:00 – Introduction & Context 01:00 – The Role of Humans in AI 03:58 – Why Is Evaluating LLMs So Difficult? 09:00 – Pros and Cons of LLM-as-a-Judge 14:30 – How to Make LLM-as-a-Judge More Reliable? 19:30 – Trust and Reliability Issues 25:00 – The Future of LLM-as-a-Judge 30:00 – Final Thoughts and Takeaways Listen on:• ⁠YouTube⁠: https://youtube.com/@WisecubeAI/podcasts• ⁠Apple Podcast⁠: https://apple.co/4kPMxZf• ⁠Spotify⁠: https://open.spotify.com/show/1nG58pwg2Dv6oAhCTzab55• ⁠Amazon Music⁠: https://bit.ly/4izpdO2 Follow us: • ⁠Pythia Website⁠: www.askpythia.ai• ⁠Wisecube Website⁠: www.wisecube.ai• ⁠Linkedin⁠: www.linkedin.com/company/wisecube• ⁠Facebook⁠: www.facebook.com/wisecubeai• ⁠Reddit⁠: www.reddit.com/r/pythia/Mentioned Materials:- Best Practices for LLM-as-a-Judge: https://www.databricks.com/blog/LLM-auto-eval-best-practices-RAG - LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods: https://arxiv.org/pdf/2412.05579v2- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena: https://arxiv.org/abs/2306.05685- Guide to LLM-as-a-Judge: https://www.evidentlyai.com/llm-guide/llm-as-a-judge - Preference Leakage: A Contamination Problem in LLM-as-a-Judge: https://arxiv.org/pdf/2502.01534- Large Language Models Are Not Fair Evaluators: https://arxiv.org/pdf/2305.17926- Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment: https://arxiv.org/pdf/2402.14016v2- Optimization-based Prompt Injection Attack to LLM-as-a-Judge: https://arxiv.org/pdf/2403.17710v4- AWS Bedrock: Model Evaluation: https://aws.amazon.com/blogs/machine-learning/llm-as-a-judge-on-amazon-bedrock-model-evaluation/ - Hugging Face: LLM Judge Cookbook: https://huggingface.co/learn/cookbook/en/llm_judge
    続きを読む 一部表示

あらすじ・解説

In the second episode of Gradient Descent, Vishnu Vettrivel (CTO of Wisecube) and Alex Thomas (Principal Data Scientist) explore the innovative yet controversial idea of using LLMs to judge and evaluate other AI systems. They discuss the hidden human role in AI training, limitations of traditional benchmarks, automated evaluation strengths and weaknesses, and best practices for building reliable AI judgment systems.Timestamps:00:00 – Introduction & Context 01:00 – The Role of Humans in AI 03:58 – Why Is Evaluating LLMs So Difficult? 09:00 – Pros and Cons of LLM-as-a-Judge 14:30 – How to Make LLM-as-a-Judge More Reliable? 19:30 – Trust and Reliability Issues 25:00 – The Future of LLM-as-a-Judge 30:00 – Final Thoughts and Takeaways Listen on:• ⁠YouTube⁠: https://youtube.com/@WisecubeAI/podcasts• ⁠Apple Podcast⁠: https://apple.co/4kPMxZf• ⁠Spotify⁠: https://open.spotify.com/show/1nG58pwg2Dv6oAhCTzab55• ⁠Amazon Music⁠: https://bit.ly/4izpdO2 Follow us: • ⁠Pythia Website⁠: www.askpythia.ai• ⁠Wisecube Website⁠: www.wisecube.ai• ⁠Linkedin⁠: www.linkedin.com/company/wisecube• ⁠Facebook⁠: www.facebook.com/wisecubeai• ⁠Reddit⁠: www.reddit.com/r/pythia/Mentioned Materials:- Best Practices for LLM-as-a-Judge: https://www.databricks.com/blog/LLM-auto-eval-best-practices-RAG - LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods: https://arxiv.org/pdf/2412.05579v2- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena: https://arxiv.org/abs/2306.05685- Guide to LLM-as-a-Judge: https://www.evidentlyai.com/llm-guide/llm-as-a-judge - Preference Leakage: A Contamination Problem in LLM-as-a-Judge: https://arxiv.org/pdf/2502.01534- Large Language Models Are Not Fair Evaluators: https://arxiv.org/pdf/2305.17926- Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment: https://arxiv.org/pdf/2402.14016v2- Optimization-based Prompt Injection Attack to LLM-as-a-Judge: https://arxiv.org/pdf/2403.17710v4- AWS Bedrock: Model Evaluation: https://aws.amazon.com/blogs/machine-learning/llm-as-a-judge-on-amazon-bedrock-model-evaluation/ - Hugging Face: LLM Judge Cookbook: https://huggingface.co/learn/cookbook/en/llm_judge
続きを読む 一部表示

LLM as a Judge: Can AI Evaluate Itself?に寄せられたリスナーの声

カスタマーレビュー：以下のタブを選択することで、他のサイトのレビューをご覧になれます。

Audible.co.jp

Amazon.co.jp
レビューはまだありません。