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Udemy - LLM Reinforcement Learning Fine-Tuning DeepSeek Method GRPO

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Udemy - LLM Reinforcement Learning Fine-Tuning DeepSeek Method GRPO

Torrent Contents Size: 1.8 GB

Udemy - LLM Reinforcement Learning Fine-Tuning DeepSeek Method GRPO
Bonus Resources.txt
TXT
102.4 B
Get Bonus Downloads Here.url
URL
204.8 B
~Get Your Files Here !
1 - Introduction
1. Introduction.mp4
MP4
11.4 MB
2. Course Content Introduction.mp4
MP4
47.7 MB
3. Jupyter Notebooks.html
HTML
5.4 KB
Notebooks 2
Bolum_(Section)_1.ipynb
IPYNB
465.1 KB
Bolum_(Section)_3_DPO.ipynb
IPYNB
259.4 KB
Bolum_(Section)_4_GRPO_.ipynb
IPYNB
624.2 KB
Bolum_(Section)__2.ipynb
IPYNB
207.9 KB
DS_Store
6 KB
Quantization.ipynb
IPYNB
81.9 KB
Thinking__(REASONING)_model.ipynb
IPYNB
54.8 KB
__MACOSX
Notebooks 2
2 - Quantization, LoRA, SFT, Data Collator, Data Preparation…
10. Preparing Dataset, Chat Template, and Integrating Custom Tokens.en_US.srt
SRT
13.3 KB
10. Preparing Dataset, Chat Template, and Integrating Custom Tokens.mp4
MP4
145.9 MB
11. Continuing Dataset Preparation and Tokenization.en_US.srt
SRT
5.6 KB
11. Continuing Dataset Preparation and Tokenization.mp4
MP4
47 MB
12. What is a Data Collator How Does It Work Practical Example.en_US.srt
SRT
9.1 KB
12. What is a Data Collator How Does It Work Practical Example.mp4
MP4
84.6 MB
13. What is LoRA Why Use It.en_US.srt
SRT
3.4 KB
13. What is LoRA Why Use It.mp4
MP4
17 MB
14. Integrating LoRA Matrices into the Model.en_US.srt
SRT
7.6 KB
14. Integrating LoRA Matrices into the Model.mp4
MP4
37.6 MB
15. Setting Training Arguments (Training Hyperparameters).en_US.srt
SRT
9.8 KB
15. Setting Training Arguments (Training Hyperparameters).mp4
MP4
32.1 MB
16. Setting Trainer, Starting Training, and Evaluating Results.en_US.srt
SRT
3.9 KB
16. Setting Trainer, Starting Training, and Evaluating Results.mp4
MP4
21.4 MB
17. Merging Trained LoRA Matrices with the Model.en_US.srt
SRT
6.8 KB
17. Merging Trained LoRA Matrices with the Model.mp4
MP4
51 MB
18. Uploading Model on Hugging Face and Using it.en_US.srt
SRT
5.7 KB
18. Uploading Model on Hugging Face and Using it.mp4
MP4
49.4 MB
19. Hyperparameters Affecting the Outputs.en_US.srt
SRT
6.5 KB
19. Hyperparameters Affecting the Outputs.mp4
MP4
30.3 MB
3 - Adding New Tokens and Creating Templates for the Tokenizer
20. Bolum_(Section)__2.ipynb.bin
BIN
207.9 KB
20. Download the Model and Tokenizer.en_US.srt
SRT
4.6 KB
20. Download the Model and Tokenizer.mp4
MP4
37 MB
21. Adding New Custom Tokens to the Tokenizer.en_US.srt
SRT
8 KB
21. Adding New Custom Tokens to the Tokenizer.mp4
MP4
30.9 MB
22. Creating Templates with New Custom Tokens and Integrating Them into the Dataset.en_US.srt
SRT
7.7 KB
22. Creating Templates with New Custom Tokens and Integrating Them into the Dataset.mp4
MP4
28.7 MB
4 - DPO (Direct Preference Optimization)
23. Bolum_(Section)_3_DPO.ipynb.bin
BIN
259.4 KB
23. What is DPO What Data Format Does It Expect.en_US.srt
SRT
7.5 KB
23. What is DPO What Data Format Does It Expect.mp4
MP4
43.4 MB
24. Bolum_(Section)_3_DPO.ipynb.bin
BIN
259.4 KB
24. Downloading Model & Understanding How the DPO Data Collator do Padding.en_US.srt
SRT
7.1 KB
24. Downloading Model & Understanding How the DPO Data Collator do Padding.mp4
MP4
45.4 MB
25. Preparing the Dataset for DPO.en_US.srt
SRT
10.9 KB
25. Preparing the Dataset for DPO.mp4
MP4
84.4 MB
26. Adding LoRA Matrices to the Model.en_US.srt
SRT
3.8 KB
26. Adding LoRA Matrices to the Model.mp4
MP4
19.1 MB
27. Setting Training Arguments (with DPOConfig).en_US.srt
SRT
5.4 KB
27. Setting Training Arguments (with DPOConfig).mp4
MP4
13.3 MB
28. Training the Model and Merging the LoRA Matrices.en_US.srt
SRT
6.9 KB
28. Training the Model and Merging the LoRA Matrices.mp4
MP4
49.7 MB
5 - GRPO (Group Relative Policy Optimization) Reinforcement Learning
29. Bolum_(Section)_4_GRPO_.ipynb.bin
BIN
624.2 KB
29. Thinking__(REASONING)_model.ipynb.bin
BIN
54.8 KB
29. What is a “Reasoning” Model How Does It Work.en_US.srt
SRT
5 KB
29. What is a “Reasoning” Model How Does It Work.mp4
MP4
56.5 MB
30. What is GRPO How Is It Applied.en_US.srt
SRT
4.9 KB
30. What is GRPO How Is It Applied.mp4
MP4
21.4 MB
31. Bolum_(Section)_4_GRPO_.ipynb.bin
BIN
624.2 KB
31. What are Unsloth and VLLM + Download the Model.en_US.srt
SRT
6.9 KB
31. What are Unsloth and VLLM + Download the Model.mp4
MP4
62.7 MB
32. Examining the Dataset and Initial Preparation Steps.en_US.srt
SRT
7.6 KB
32. Examining the Dataset and Initial Preparation Steps.mp4
MP4
54 MB
33. Extracting Specific Parts of Data Regex and Group Operations.en_US.srt
SRT
13.5 KB
33. Extracting Specific Parts of Data Regex and Group Operations.mp4
MP4
49.5 MB
34. In Which Format is Data Sent to Reward Functions.en_US.srt
SRT
7 KB
34. In Which Format is Data Sent to Reward Functions.mp4
MP4
88.9 MB
35. 1st Reward Function.en_US.srt
SRT
13.1 KB
35. 1st Reward Function.mp4
MP4
64.4 MB
36. 2nd Reward Function.en_US.srt
SRT
12.3 KB
36. 2nd Reward Function.mp4
MP4
73.2 MB
37. 3rd Reward Function.en_US.srt
SRT
11.1 KB
37. 3rd Reward Function.mp4
MP4
77.9 MB
38. 4th Reward Function.en_US.srt
SRT
7.2 KB
38. 4th Reward Function.mp4
MP4
26.6 MB
39. Training Hyperparameters (with GRPO Config).en_US.srt
SRT
8.3 KB
39. Training Hyperparameters (with GRPO Config).mp4
MP4
61.3 MB
40. Trainer Object and Training Process.en_US.srt
SRT
2.6 KB
40. Trainer Object and Training Process.mp4
MP4
12 MB
41. Results Table Rewards and Sample Outputs.en_US.srt
SRT
4.3 KB
41. Results Table Rewards and Sample Outputs.mp4
MP4
78.4 MB
42. BONUS_New_GRPO_Notebook.html
HTML
7.1 KB
42. SFT_GRPO_Training.ipynb.bin
BIN
10 MB
6 - BONUS_New_GRPO_Notebook
43. BONUS_New_GRPO_Notebook.html
HTML
7.1 KB
43. SFT_GRPO_Training.ipynb.bin
BIN
10 MB
4. Quantization.ipynb.bin
BIN
81.9 KB
4. What is Quantization How does it affect model size and parameters.en_US.srt
SRT
4.9 KB
4. What is Quantization How does it affect model size and parameters.mp4
MP4
40.2 MB
5. Create a Hugging Face Account and Get a Token.en_US.srt
SRT
5 KB
5. Create a Hugging Face Account and Get a Token.mp4
MP4
35.1 MB
6. Create a Colab Notebook and Get Familiar with the Libraries.en_US.srt
SRT
4.7 KB
6. Create a Colab Notebook and Get Familiar with the Libraries.mp4
MP4
14.7 MB
7. Bolum_(Section)_1.ipynb.bin
BIN
465.1 KB
7. Download the Model with Quantization.en_US.srt
SRT
6.8 KB
7. Download the Model with Quantization.mp4
MP4
27.5 MB
8. Bolum_(Section)_1.ipynb.bin
BIN
465 KB
8. Differences Between Base and Instruct Models.en_US.srt
SRT
8.5 KB
8. Differences Between Base and Instruct Models.mp4
MP4
78 MB
9. Download and Examine the Dataset.en_US.srt
SRT
4.7 KB
9. Download and Examine the Dataset.mp4
MP4
18.9 MB
_.DS_Store
DS_STORE
102.4 B
_Bolum_(Section)_1.ipynb
IPYNB
716.8 B
_Bolum_(Section)_3_DPO.ipynb
IPYNB
409.6 B
_Bolum_(Section)_4_GRPO_.ipynb
IPYNB
512 B
_Bolum_(Section)__2.ipynb
IPYNB
204.8 B
_Quantization.ipynb
IPYNB
409.6 B
_Thinking__(REASONING)_model.ipynb
IPYNB
204.8 B

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