Linkedin - Grounding Techniques for LLMs

Started by AD-TEAM, Sep 10, 2024, 06:35 PM

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AD-TEAM


433.27 MB | 00:15:27 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 - Understanding grounding techniques for LLMs  (2.48 MB)
02 - Setting up your LLM environment  (14.48 MB)
01 - What is a hallucination  (1.7 MB)
02 - Hallucination examples  (1.95 MB)
03 - Comparing hallucinations across LLMs  (7.93 MB)
04 - Dangers of hallucinations  (6.95 MB)
05 - Challenge Finding a hallucination  (893.54 KB)
06 - Solution Finding a hallucination  (6.22 MB)
01 - Training LLMs on time-sensitive data  (4.42 MB)
02 - Poorly curated training data  (6.41 MB)
03 - Faithfulness and context  (9.39 MB)
04 - Ambiguous responses  (5.56 MB)
05 - Incorrect output structure  (5.16 MB)
06 - Declining to respond  (10.38 MB)
07 - Fine-tuning hallucinations  (8.25 MB)
08 - LLM sampling techniques and adjustments  (10.76 MB)
09 - Bad citations  (4.28 MB)
10 - Incomplete information extraction  (8.24 MB)
01 - Few-shot learning  (5.06 MB)
02 - Chain of thought reasoning  (7.49 MB)
03 - Structured templates  (4.35 MB)
04 - Retrieval-augmented generation  (6.92 MB)
05 - Updating LLM model versions  (10.12 MB)
06 - Model fine-tuning for mitigating hallucinations  (24.23 MB)
07 - Orchestrating workflows through model routing  (18.26 MB)
08 - Challenge Automating ecommerce reviews with LLMs  (3.28 MB)
09 - Solution Automating ecommerce reviews with LLMs  (8.85 MB)
01 - Creating LLM evaluation pipelines  (8.48 MB)
02 - LLM self-assessment pipelines  (19.87 MB)
03 - Human-in-the-loop systems  (15.14 MB)
04 - Specialized models for hallucination detection  (24.38 MB)
05 - Building an evaluation dataset  (12.84 MB)
06 - Optimizing prompts with DSPY  (48.75 MB)
07 - Optimizing hallucination detections with DSPY  (19.31 MB)
08 - Real-world LLM user testing  (16.48 MB)
09 - Challenge A more well-rounded AI trivia agent  (1.36 MB)
10 - Solution A more well-rounded AI trivia agent  (8.42 MB)
01 - Ragas Evaluation paper  (9.2 MB)
02 - Hallucinations in large multilingual translation models  (15.26 MB)
03 - Do LLMs know what they don't know  (10.33 MB)
04 - Set the Clock LLM temporal fine-tuning  (8.85 MB)
05 - Review of hallucination papers  (8.93 MB)
01 - Continue your practice of grounding techniques for LLMs  (1.4 MB)
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