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Category:
Language:
English
Total Size:
433.3 MB
Info Hash:
B282ABBBA99195592F6590F32D6B4792777D85E4
Added By:
Added:
Sept. 11, 2024, 5:50 p.m.
Stats:
|
(Last updated: May 10, 2025, 4:35 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 183 bytes |
| 01 - Understanding grounding techniques for LLMs.mp4 | 2.5 MB |
| 01 - Understanding grounding techniques for LLMs.srt | 1.2 KB |
| 02 - Setting up your LLM environment.mp4 | 14.5 MB |
| 02 - Setting up your LLM environment.srt | 11.2 KB |
| 01 - What is a hallucination.mp4 | 1.7 MB |
| 01 - What is a hallucination.srt | 1.3 KB |
| 02 - Hallucination examples.mp4 | 1.9 MB |
| 02 - Hallucination examples.srt | 1.5 KB |
| 03 - Comparing hallucinations across LLMs.mp4 | 7.9 MB |
| 03 - Comparing hallucinations across LLMs.srt | 5.4 KB |
| 04 - Dangers of hallucinations.mp4 | 7.0 MB |
| 04 - Dangers of hallucinations.srt | 5.4 KB |
| 05 - Challenge Finding a hallucination.mp4 | 893.5 KB |
| 05 - Challenge Finding a hallucination.srt | 846 bytes |
| 06 - Solution Finding a hallucination.mp4 | 6.2 MB |
| 06 - Solution Finding a hallucination.srt | 4.6 KB |
| 01 - Training LLMs on time-sensitive data.mp4 | 4.4 MB |
| 01 - Training LLMs on time-sensitive data.srt | 3.2 KB |
| 02 - Poorly curated training data.mp4 | 6.4 MB |
| 02 - Poorly curated training data.srt | 3.5 KB |
| 03 - Faithfulness and context.mp4 | 9.4 MB |
| 03 - Faithfulness and context.srt | 6.9 KB |
| 04 - Ambiguous responses.mp4 | 5.6 MB |
| 04 - Ambiguous responses.srt | 3.7 KB |
| 05 - Incorrect output structure.mp4 | 5.2 MB |
| 05 - Incorrect output structure.srt | 5.2 KB |
| 06 - Declining to respond.mp4 | 10.4 MB |
| 06 - Declining to respond.srt | 7.4 KB |
| 07 - Fine-tuning hallucinations.mp4 | 8.2 MB |
| 07 - Fine-tuning hallucinations.srt | 6.1 KB |
| 08 - LLM sampling techniques and adjustments.mp4 | 10.8 MB |
| 08 - LLM sampling techniques and adjustments.srt | 7.1 KB |
| 09 - Bad citations.mp4 | 4.3 MB |
| 09 - Bad citations.srt | 3.2 KB |
| 10 - Incomplete information extraction.mp4 | 8.2 MB |
| 10 - Incomplete information extraction.srt | 5.9 KB |
| 01 - Few-shot learning.mp4 | 5.1 MB |
| 01 - Few-shot learning.srt | 4.9 KB |
| 02 - Chain of thought reasoning.mp4 | 7.5 MB |
| 02 - Chain of thought reasoning.srt | 5.8 KB |
| 03 - Structured templates.mp4 | 4.4 MB |
| 03 - Structured templates.srt | 3.6 KB |
| 04 - Retrieval-augmented generation.mp4 | 6.9 MB |
| 04 - Retrieval-augmented generation.srt | 6.0 KB |
| 05 - Updating LLM model versions.mp4 | 10.1 MB |
| 05 - Updating LLM model versions.srt | 7.2 KB |
| 06 - Model fine-tuning for mitigating hallucinations.mp4 | 24.2 MB |
| 06 - Model fine-tuning for mitigating hallucinations.srt | 13.7 KB |
| 07 - Orchestrating workflows through model routing.mp4 | 18.3 MB |
| 07 - Orchestrating workflows through model routing.srt | 14.2 KB |
| 08 - Challenge Automating ecommerce reviews with LLMs.mp4 | 3.3 MB |
| 08 - Challenge Automating ecommerce reviews with LLMs.srt | 2.2 KB |
| 09 - Solution Automating ecommerce reviews with LLMs.mp4 | 8.9 MB |
| 09 - Solution Automating ecommerce reviews with LLMs.srt | 4.6 KB |
| 01 - Creating LLM evaluation pipelines.mp4 | 8.5 MB |
| 01 - Creating LLM evaluation pipelines.srt | 10.1 KB |
| 02 - LLM self-assessment pipelines.mp4 | 19.9 MB |
| 02 - LLM self-assessment pipelines.srt | 12.7 KB |
| 03 - Human-in-the-loop systems.mp4 | 15.1 MB |
| 03 - Human-in-the-loop systems.srt | 9.5 KB |
| 04 - Specialized models for hallucination detection.mp4 | 24.4 MB |
| 04 - Specialized models for hallucination detection.srt | 15.9 KB |
| 05 - Building an evaluation dataset.mp4 | 12.8 MB |
| 05 - Building an evaluation dataset.srt | 8.5 KB |
| 06 - Optimizing prompts with DSPY.mp4 | 48.7 MB |
| 06 - Optimizing prompts with DSPY.srt | 27.3 KB |
| 07 - Optimizing hallucination detections with DSPY.mp4 | 19.3 MB |
| 07 - Optimizing hallucination detections with DSPY.srt | 10.8 KB |
| 08 - Real-world LLM user testing.mp4 | 16.5 MB |
| 08 - Real-world LLM user testing.srt | 11.1 KB |
| 09 - Challenge A more well-rounded AI trivia agent.mp4 | 1.4 MB |
| 09 - Challenge A more well-rounded AI trivia agent.srt | 1.2 KB |
| 10 - Solution A more well-rounded AI trivia agent.mp4 | 8.4 MB |
| 10 - Solution A more well-rounded AI trivia agent.srt | 5.4 KB |
| 01 - Ragas Evaluation paper.mp4 | 9.2 MB |
| 01 - Ragas Evaluation paper.srt | 5.5 KB |
| 02 - Hallucinations in large multilingual translation models.mp4 | 15.3 MB |
| 02 - Hallucinations in large multilingual translation models.srt | 8.2 KB |
| 03 - Do LLMs know what they don’t know.mp4 | 10.3 MB |
| 03 - Do LLMs know what they don’t know.srt | 5.2 KB |
| 04 - Set the Clock LLM temporal fine-tuning.mp4 | 8.8 MB |
| 04 - Set the Clock LLM temporal fine-tuning.srt | 5.5 KB |
| 05 - Review of hallucination papers.mp4 | 8.9 MB |
| 05 - Review of hallucination papers.srt | 6.2 KB |
| 01 - Continue your practice of grounding techniques for LLMs.mp4 | 1.4 MB |
| 01 - Continue your practice of grounding techniques for LLMs.srt | 1.0 KB |
| Bonus Resources.txt | 386 bytes |
Name
DL
Uploader
Size
S/L
Added
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433.3 MB
[31
/
3]
2024-09-11
| Uploaded by FreeCourseWeb | Size 433.3 MB | Health [ 31 /3 ] | Added 2024-09-11 |
NOTE
SOURCE: Linkedin Grounding Techniques for LLMs FreeCourseWeb
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