Linkedin Grounding Techniques for LLMs FreeCourseWeb
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| Torrent Hash : | B282ABBBA99195592F6590F32D6B4792777D85E4 |
| Torrent Added : | at Sept. 11, 2024, 5:50 p.m. in Other |
| Torrent Size : | 433.3 MB |
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Linkedin Grounding Techniques for LLMs FreeCourseWeb
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Linkedin Grounding Techniques for LLMs FreeCourseWeb
Get Bonus Downloads Here.url -
01 - Understanding grounding techniques for LLMs.mp4 -
01 - Understanding grounding techniques for LLMs.srt -
02 - Setting up your LLM environment.mp4 -
02 - Setting up your LLM environment.srt -
01 - What is a hallucination.mp4 -
01 - What is a hallucination.srt -
02 - Hallucination examples.mp4 -
02 - Hallucination examples.srt -
03 - Comparing hallucinations across LLMs.mp4 -
03 - Comparing hallucinations across LLMs.srt -
04 - Dangers of hallucinations.mp4 -
04 - Dangers of hallucinations.srt -
05 - Challenge Finding a hallucination.mp4 -
05 - Challenge Finding a hallucination.srt -
06 - Solution Finding a hallucination.mp4 -
06 - Solution Finding a hallucination.srt -
01 - Training LLMs on time-sensitive data.mp4 -
01 - Training LLMs on time-sensitive data.srt -
02 - Poorly curated training data.mp4 -
02 - Poorly curated training data.srt -
03 - Faithfulness and context.mp4 -
03 - Faithfulness and context.srt -
04 - Ambiguous responses.mp4 -
04 - Ambiguous responses.srt -
05 - Incorrect output structure.mp4 -
05 - Incorrect output structure.srt -
06 - Declining to respond.mp4 -
06 - Declining to respond.srt -
07 - Fine-tuning hallucinations.mp4 -
07 - Fine-tuning hallucinations.srt -
08 - LLM sampling techniques and adjustments.mp4 -
08 - LLM sampling techniques and adjustments.srt -
09 - Bad citations.mp4 -
09 - Bad citations.srt -
10 - Incomplete information extraction.mp4 -
10 - Incomplete information extraction.srt -
01 - Few-shot learning.mp4 -
01 - Few-shot learning.srt -
02 - Chain of thought reasoning.mp4 -
02 - Chain of thought reasoning.srt -
03 - Structured templates.mp4 -
03 - Structured templates.srt -
04 - Retrieval-augmented generation.mp4 -
04 - Retrieval-augmented generation.srt -
05 - Updating LLM model versions.mp4 -
05 - Updating LLM model versions.srt -
06 - Model fine-tuning for mitigating hallucinations.mp4 -
06 - Model fine-tuning for mitigating hallucinations.srt -
07 - Orchestrating workflows through model routing.mp4 -
07 - Orchestrating workflows through model routing.srt -
08 - Challenge Automating ecommerce reviews with LLMs.mp4 -
08 - Challenge Automating ecommerce reviews with LLMs.srt -
09 - Solution Automating ecommerce reviews with LLMs.mp4 -
09 - Solution Automating ecommerce reviews with LLMs.srt -
01 - Creating LLM evaluation pipelines.mp4 -
01 - Creating LLM evaluation pipelines.srt -
02 - LLM self-assessment pipelines.mp4 -
02 - LLM self-assessment pipelines.srt -
03 - Human-in-the-loop systems.mp4 -
03 - Human-in-the-loop systems.srt -
04 - Specialized models for hallucination detection.mp4 -
04 - Specialized models for hallucination detection.srt -
05 - Building an evaluation dataset.mp4 -
05 - Building an evaluation dataset.srt -
06 - Optimizing prompts with DSPY.mp4 -
06 - Optimizing prompts with DSPY.srt -
07 - Optimizing hallucination detections with DSPY.mp4 -
07 - Optimizing hallucination detections with DSPY.srt -
08 - Real-world LLM user testing.mp4 -
08 - Real-world LLM user testing.srt -
09 - Challenge A more well-rounded AI trivia agent.mp4 -
09 - Challenge A more well-rounded AI trivia agent.srt -
10 - Solution A more well-rounded AI trivia agent.mp4 -
10 - Solution A more well-rounded AI trivia agent.srt -
01 - Ragas Evaluation paper.mp4 -
01 - Ragas Evaluation paper.srt -
02 - Hallucinations in large multilingual translation models.mp4 -
02 - Hallucinations in large multilingual translation models.srt -
03 - Do LLMs know what they don’t know.mp4 -
03 - Do LLMs know what they don’t know.srt -
04 - Set the Clock LLM temporal fine-tuning.mp4 -
04 - Set the Clock LLM temporal fine-tuning.srt -
05 - Review of hallucination papers.mp4 -
05 - Review of hallucination papers.srt -
01 - Continue your practice of grounding techniques for LLMs.mp4 -
01 - Continue your practice of grounding techniques for LLMs.srt -
Bonus Resources.txt -
Please login or create a FREE account to post comments
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
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| Torrent Name | Added | Size | Seed | Leech | Health |
|---|---|---|---|---|---|
| 2024-09-11 | 433.3 MB | 31 | 3 |
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