Evaluating Large Language Models (LLMs)

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Evaluating Large Language Models (LLMs)

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收录时间：2025-03-06
最近下载：2025-09-05

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文件列表

  • Lesson 2 Evaluating Generative Tasks/004. 2.3 Evaluating Free Text Response Tasks, Part 2.mp4 197.2 MB
  • Lesson 6 Evaluating LLM Fine-Tuning/005. 6.4 Evaluating and Cleaning Data.mp4 174.7 MB
  • Lesson 5 Probing LLMs for a World Model/003. 5.2 Probing LLMs to Play Games.mp4 155.1 MB
  • Lesson 4 Using Benchmarks Effectively/004. 4.3 Evaluating LLMs with Benchmarks.mp4 136.9 MB
  • Lesson 7 Case Studies/005. 7.4 Using Evaluation to Combat AI Drift.mp4 123.5 MB
  • Lesson 7 Case Studies/006. 7.5 Time-Series Regression.mp4 111.9 MB
  • Lesson 6 Evaluating LLM Fine-Tuning/004. 6.3 Practical Demonstration Evaluating Fine-Tuning.mp4 106.9 MB
  • Lesson 2 Evaluating Generative Tasks/003. 2.2 Evaluating Free Text Response Tasks, Part 1.mp4 105.7 MB
  • Lesson 4 Using Benchmarks Effectively/003. 4.2 Interrogating Common Benchmarks.mp4 94.5 MB
  • Lesson 3 Evaluating Understanding Tasks/004. 3.3 Building an LLM Classifier with BERT and GPT.mp4 92.9 MB
  • Lesson 7 Case Studies/004. 7.3 Building and Evaluating a Recommendation Engine Using LLMs.mp4 91.6 MB
  • Lesson 1 Foundations of LLM Evaluation/004. 1.3 Key Metrics for Common Tasks.mp4 90.2 MB
  • Lesson 3 Evaluating Understanding Tasks/003. 3.2 Evaluating Classification Tasks.mp4 86.4 MB
  • Lesson 7 Case Studies/002. 7.1 Evaluating AI Agents Task Automation and Tool Integration.mp4 81.5 MB
  • Lesson 5 Probing LLMs for a World Model/002. 5.1 Probing LLMs for Knowledge.mp4 77.4 MB
  • Lesson 3 Evaluating Understanding Tasks/002. 3.1 Evaluating Embedding Tasks.mp4 65.4 MB
  • Lesson 2 Evaluating Generative Tasks/002. 2.1 Evaluating Multiple-Choice Tasks.mp4 54.1 MB
  • Lesson 1 Foundations of LLM Evaluation/002. 1.1 Introduction to Evaluation Why It Matters.mp4 53.5 MB
  • Lesson 2 Evaluating Generative Tasks/005. 2.3 AIs Supervising AIs LLM as a Judge.mp4 51.3 MB
  • Lesson 7 Case Studies/003. 7.2 Measuring Retrieval-Augmented Generation (RAG) Systems.mp4 50.2 MB
  • Lesson 8 Summary of Evaluation and Looking Ahead/002. 8.1 When and How to Evaluate.mp4 48.8 MB
  • Lesson 6 Evaluating LLM Fine-Tuning/003. 6.2 Metrics for Fine-Tuning Success.mp4 43.7 MB
  • Lesson 1 Foundations of LLM Evaluation/003. 1.2 Generative versus Understanding Tasks.mp4 42.7 MB
  • Lesson 6 Evaluating LLM Fine-Tuning/002. 6.1 Fine-Tuning Objectives.mp4 34.5 MB
  • Lesson 4 Using Benchmarks Effectively/002. 4.1 The Role of Benchmarks.mp4 33.4 MB
  • Lesson 8 Summary of Evaluation and Looking Ahead/003. 8.2 Looking Ahead Trends in LLM Evaluation.mp4 27.8 MB
  • Introduction/001. Evaluating Large Language Models (LLMs) Introduction.mp4 18.3 MB
  • Summary/001. Evaluating Large Language Models (LLMs) Summary.mp4 8.3 MB
  • Lesson 3 Evaluating Understanding Tasks/001. Learning objectives.mp4 7.1 MB
  • Lesson 4 Using Benchmarks Effectively/001. Learning objectives.mp4 6.7 MB
  • Lesson 7 Case Studies/001. Learning objectives.mp4 6.5 MB
  • Lesson 8 Summary of Evaluation and Looking Ahead/001. Learning objectives.mp4 5.7 MB
  • Lesson 2 Evaluating Generative Tasks/001. Learning objectives.mp4 5.3 MB
  • Lesson 5 Probing LLMs for a World Model/001. Learning objectives.mp4 5.3 MB
  • Lesson 6 Evaluating LLM Fine-Tuning/001. Learning objectives.mp4 5.2 MB
  • Lesson 1 Foundations of LLM Evaluation/001. Learning objectives.mp4 5.0 MB
  • Lesson 6 Evaluating LLM Fine-Tuning/005. 6.4 Evaluating and Cleaning Data.en.srt 46.1 kB
  • Lesson 2 Evaluating Generative Tasks/004. 2.3 Evaluating Free Text Response Tasks, Part 2.en.srt 38.4 kB
  • Lesson 6 Evaluating LLM Fine-Tuning/004. 6.3 Practical Demonstration Evaluating Fine-Tuning.en.srt 37.6 kB
  • Lesson 5 Probing LLMs for a World Model/003. 5.2 Probing LLMs to Play Games.en.srt 34.7 kB
  • Lesson 4 Using Benchmarks Effectively/004. 4.3 Evaluating LLMs with Benchmarks.en.srt 31.9 kB
  • Lesson 2 Evaluating Generative Tasks/003. 2.2 Evaluating Free Text Response Tasks, Part 1.en.srt 31.6 kB
  • Lesson 3 Evaluating Understanding Tasks/004. 3.3 Building an LLM Classifier with BERT and GPT.en.srt 31.6 kB
  • Lesson 4 Using Benchmarks Effectively/003. 4.2 Interrogating Common Benchmarks.en.srt 30.6 kB
  • Lesson 7 Case Studies/005. 7.4 Using Evaluation to Combat AI Drift.en.srt 29.2 kB
  • Lesson 3 Evaluating Understanding Tasks/003. 3.2 Evaluating Classification Tasks.en.srt 28.3 kB
  • Lesson 1 Foundations of LLM Evaluation/004. 1.3 Key Metrics for Common Tasks.en.srt 26.4 kB
  • Lesson 5 Probing LLMs for a World Model/002. 5.1 Probing LLMs for Knowledge.en.srt 25.8 kB
  • Lesson 7 Case Studies/004. 7.3 Building and Evaluating a Recommendation Engine Using LLMs.en.srt 24.9 kB
  • Lesson 7 Case Studies/002. 7.1 Evaluating AI Agents Task Automation and Tool Integration.en.srt 24.9 kB
  • Lesson 7 Case Studies/006. 7.5 Time-Series Regression.en.srt 24.7 kB
  • Lesson 3 Evaluating Understanding Tasks/002. 3.1 Evaluating Embedding Tasks.en.srt 21.0 kB
  • Lesson 1 Foundations of LLM Evaluation/002. 1.1 Introduction to Evaluation Why It Matters.en.srt 18.5 kB
  • Lesson 2 Evaluating Generative Tasks/002. 2.1 Evaluating Multiple-Choice Tasks.en.srt 18.5 kB
  • Lesson 2 Evaluating Generative Tasks/005. 2.4 AIs Supervising AIs LLM as a Judge.en.srt 17.7 kB
  • Lesson 7 Case Studies/003. 7.2 Measuring Retrieval-Augmented Generation (RAG) Systems.en.srt 15.4 kB
  • Lesson 1 Foundations of LLM Evaluation/003. 1.2 Generative versus Understanding Tasks.en.srt 14.9 kB
  • Lesson 8 Summary of Evaluation and Looking Ahead/002. 8.1 When and How to Evaluate.en.srt 14.7 kB
  • Lesson 6 Evaluating LLM Fine-Tuning/003. 6.2 Metrics for Fine-Tuning Success.en.srt 14.5 kB
  • Lesson 6 Evaluating LLM Fine-Tuning/002. 6.1 Fine-Tuning Objectives.en.srt 14.1 kB
  • Lesson 4 Using Benchmarks Effectively/002. 4.1 The Role of Benchmarks.en.srt 11.1 kB
  • Lesson 8 Summary of Evaluation and Looking Ahead/003. 8.2 Looking Ahead Trends in LLM Evaluation.en.srt 8.9 kB
  • Introduction/001. Evaluating Large Language Models (LLMs) Introduction.en.srt 2.6 kB
  • Summary/001. Evaluating Large Language Models (LLMs) Summary.en.srt 1.2 kB
  • Lesson 3 Evaluating Understanding Tasks/001. Learning objectives.en.srt 933 Bytes
  • Lesson 4 Using Benchmarks Effectively/001. Learning objectives.en.srt 854 Bytes
  • Lesson 7 Case Studies/001. Learning objectives.en.srt 832 Bytes
  • Lesson 8 Summary of Evaluation and Looking Ahead/001. Learning objectives.en.srt 812 Bytes
  • Lesson 1 Foundations of LLM Evaluation/001. Learning objectives.en.srt 791 Bytes
  • Lesson 2 Evaluating Generative Tasks/001. Learning objectives.en.srt 706 Bytes
  • Lesson 5 Probing LLMs for a World Model/001. Learning objectives.en.srt 703 Bytes
  • Lesson 6 Evaluating LLM Fine-Tuning/001. Learning objectives.en.srt 693 Bytes

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