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Gradient Descent - Podcast about AI and Data

Gradient Descent - Podcast about AI and Data

Date de sortie : 2025-03-23
© Wisecube AI
Gradient Descent - Podcast about AI and Data - QR Code
2 épisodes
Audio
Écouter sur Apple Podcasts
2 épisodes
Audio
Écouter sur Apple Podcasts
Date de sortie : 2025-03-23
© Wisecube AI
L’épisode le plus récent
LLM as a Judge: Can AI Evaluate Itself?

LLM as a Judge: Can AI Evaluate Itself?

Durée : 31:59
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
Id. d’épisode : 1000700415656
GUID : 4b83ad0a-6c43-4fd0-bc83-13f3494f06c2
Date de publication : 23/3/2025 à 00:07:05

Description

“Gradient Descent" is a podcast that delves into the depths of artificial intelligence and data science. Hosted by Vishnu Vettrivel (Founder of Wisecube AI) and Alex Thomas (Principal Data Scientist), the show explores the latest trends, innovations, and practical applications in AI and data science. Join us to learn more about how these technologies are shaping our future.

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