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Udemy LLM Reinforcement Learning Fine Tuning DeepSeek Method GR

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Uploader:

freecoursewb

Source:

1337x

Downloads:

65

Type:

Tutorials

Language:

English

Category:

Other

Size:

1.8 GB

Added:

March 21, 2026, 2:40 p.m.

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Files:

Get Bonus Downloads Here.url 180 bytes
1. Introduction.mp4 11.4 MB
2. Course Content Introduction.mp4 47.7 MB
3. Jupyter Notebooks.html 5.4 KB
Bolum_(Section)_1.ipynb 465.1 KB
Bolum_(Section)_3_DPO.ipynb 259.4 KB
Bolum_(Section)_4_GRPO_.ipynb 624.2 KB
Bolum_(Section)__2.ipynb 207.9 KB
DS_Store 6.0 KB
Quantization.ipynb 81.9 KB
Thinking__(REASONING)_model.ipynb 54.8 KB
_.DS_Store 120 bytes
_Bolum_(Section)_1.ipynb 696 bytes
_Bolum_(Section)_3_DPO.ipynb 411 bytes
_Bolum_(Section)_4_GRPO_.ipynb 497 bytes
_Bolum_(Section)__2.ipynb 212 bytes
_Quantization.ipynb 392 bytes
_Thinking__(REASONING)_model.ipynb 212 bytes
10. Preparing Dataset, Chat Template, and Integrating Custom Tokens.en_US.srt 13.3 KB
10. Preparing Dataset, Chat Template, and Integrating Custom Tokens.mp4 145.9 MB
11. Continuing Dataset Preparation and Tokenization.en_US.srt 5.6 KB
11. Continuing Dataset Preparation and Tokenization.mp4 47.0 MB
12. What is a Data Collator How Does It Work Practical Example.en_US.srt 9.1 KB
12. What is a Data Collator How Does It Work Practical Example.mp4 84.6 MB
13. What is LoRA Why Use It.en_US.srt 3.4 KB
13. What is LoRA Why Use It.mp4 17.0 MB
14. Integrating LoRA Matrices into the Model.en_US.srt 7.6 KB
14. Integrating LoRA Matrices into the Model.mp4 37.6 MB
15. Setting Training Arguments (Training Hyperparameters).en_US.srt 9.8 KB
15. Setting Training Arguments (Training Hyperparameters).mp4 32.1 MB
16. Setting Trainer, Starting Training, and Evaluating Results.en_US.srt 3.9 KB
16. Setting Trainer, Starting Training, and Evaluating Results.mp4 21.4 MB
17. Merging Trained LoRA Matrices with the Model.en_US.srt 6.8 KB
17. Merging Trained LoRA Matrices with the Model.mp4 51.0 MB
18. Uploading Model on Hugging Face and Using it.en_US.srt 5.7 KB
18. Uploading Model on Hugging Face and Using it.mp4 49.4 MB
19. Hyperparameters Affecting the Outputs.en_US.srt 6.5 KB
19. Hyperparameters Affecting the Outputs.mp4 30.3 MB
4. Quantization.ipynb.bin 81.9 KB
4. What is Quantization How does it affect model size and parameters.en_US.srt 4.9 KB
4. What is Quantization How does it affect model size and parameters.mp4 40.2 MB
5. Create a Hugging Face Account and Get a Token.en_US.srt 5.0 KB
5. Create a Hugging Face Account and Get a Token.mp4 35.1 MB
6. Create a Colab Notebook and Get Familiar with the Libraries.en_US.srt 4.7 KB
6. Create a Colab Notebook and Get Familiar with the Libraries.mp4 14.7 MB
7. Bolum_(Section)_1.ipynb.bin 465.1 KB
7. Download the Model with Quantization.en_US.srt 6.8 KB
7. Download the Model with Quantization.mp4 27.5 MB
8. Bolum_(Section)_1.ipynb.bin 465.0 KB
8. Differences Between Base and Instruct Models.en_US.srt 8.5 KB
8. Differences Between Base and Instruct Models.mp4 78.0 MB
9. Download and Examine the Dataset.en_US.srt 4.7 KB
9. Download and Examine the Dataset.mp4 18.9 MB
20. Bolum_(Section)__2.ipynb.bin 207.9 KB
20. Download the Model and Tokenizer.en_US.srt 4.6 KB
20. Download the Model and Tokenizer.mp4 37.0 MB
21. Adding New Custom Tokens to the Tokenizer.en_US.srt 8.0 KB
21. Adding New Custom Tokens to the Tokenizer.mp4 30.9 MB
22. Creating Templates with New Custom Tokens and Integrating Them into the Dataset.en_US.srt 7.7 KB
22. Creating Templates with New Custom Tokens and Integrating Them into the Dataset.mp4 28.7 MB
23. Bolum_(Section)_3_DPO.ipynb.bin 259.4 KB
23. What is DPO What Data Format Does It Expect.en_US.srt 7.5 KB
23. What is DPO What Data Format Does It Expect.mp4 43.4 MB
24. Bolum_(Section)_3_DPO.ipynb.bin 259.4 KB
24. Downloading Model & Understanding How the DPO Data Collator do Padding.en_US.srt 7.1 KB
24. Downloading Model & Understanding How the DPO Data Collator do Padding.mp4 45.4 MB
25. Preparing the Dataset for DPO.en_US.srt 10.9 KB
25. Preparing the Dataset for DPO.mp4 84.4 MB
26. Adding LoRA Matrices to the Model.en_US.srt 3.8 KB
26. Adding LoRA Matrices to the Model.mp4 19.1 MB
27. Setting Training Arguments (with DPOConfig).en_US.srt 5.4 KB
27. Setting Training Arguments (with DPOConfig).mp4 13.3 MB
28. Training the Model and Merging the LoRA Matrices.en_US.srt 6.9 KB
28. Training the Model and Merging the LoRA Matrices.mp4 49.7 MB
29. Bolum_(Section)_4_GRPO_.ipynb.bin 624.2 KB
29. Thinking__(REASONING)_model.ipynb.bin 54.8 KB
29. What is a “Reasoning” Model How Does It Work.en_US.srt 5.0 KB
29. What is a “Reasoning” Model How Does It Work.mp4 56.5 MB
30. What is GRPO How Is It Applied.en_US.srt 4.9 KB
30. What is GRPO How Is It Applied.mp4 21.4 MB
31. Bolum_(Section)_4_GRPO_.ipynb.bin 624.2 KB
31. What are Unsloth and VLLM + Download the Model.en_US.srt 6.9 KB
31. What are Unsloth and VLLM + Download the Model.mp4 62.7 MB
32. Examining the Dataset and Initial Preparation Steps.en_US.srt 7.6 KB
32. Examining the Dataset and Initial Preparation Steps.mp4 54.0 MB
33. Extracting Specific Parts of Data Regex and Group Operations.en_US.srt 13.5 KB
33. Extracting Specific Parts of Data Regex and Group Operations.mp4 49.5 MB
34. In Which Format is Data Sent to Reward Functions.en_US.srt 7.0 KB
34. In Which Format is Data Sent to Reward Functions.mp4 88.9 MB
35. 1st Reward Function.en_US.srt 13.1 KB
35. 1st Reward Function.mp4 64.4 MB
36. 2nd Reward Function.en_US.srt 12.3 KB
36. 2nd Reward Function.mp4 73.2 MB
37. 3rd Reward Function.en_US.srt 11.1 KB
37. 3rd Reward Function.mp4 77.9 MB
38. 4th Reward Function.en_US.srt 7.2 KB
38. 4th Reward Function.mp4 26.6 MB
39. Training Hyperparameters (with GRPO Config).en_US.srt 8.3 KB
39. Training Hyperparameters (with GRPO Config).mp4 61.3 MB
40. Trainer Object and Training Process.en_US.srt 2.6 KB
40. Trainer Object and Training Process.mp4 12.0 MB
41. Results Table Rewards and Sample Outputs.en_US.srt 4.3 KB
41. Results Table Rewards and Sample Outputs.mp4 78.4 MB
42. BONUS_New_GRPO_Notebook.html 7.1 KB
42. SFT_GRPO_Training.ipynb.bin 10.0 MB
43. BONUS_New_GRPO_Notebook.html 7.1 KB
43. SFT_GRPO_Training.ipynb.bin 10.0 MB
Bonus Resources.txt 70 bytes

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