Udemy LLM Reinforcement Learning Fine Tuning DeepSeek Method GR

Udemy LLM Reinforcement Learning Fine Tuning DeepSeek Method GR
     Get Bonus Downloads Here.url -


     1. Introduction.mp4 -


     2. Course Content Introduction.mp4 -


     3. Jupyter Notebooks.html -


     Bolum_(Section)_1.ipynb -


     Bolum_(Section)_3_DPO.ipynb -


     Bolum_(Section)_4_GRPO_.ipynb -


     Bolum_(Section)__2.ipynb -


     DS_Store -


     Quantization.ipynb -


     Thinking__(REASONING)_model.ipynb -


     _.DS_Store -


     _Bolum_(Section)_1.ipynb -


     _Bolum_(Section)_3_DPO.ipynb -


     _Bolum_(Section)_4_GRPO_.ipynb -


     _Bolum_(Section)__2.ipynb -


     _Quantization.ipynb -


     _Thinking__(REASONING)_model.ipynb -


     10. Preparing Dataset, Chat Template, and Integrating Custom Tokens.en_US.srt -


     10. Preparing Dataset, Chat Template, and Integrating Custom Tokens.mp4 -


     11. Continuing Dataset Preparation and Tokenization.en_US.srt -


     11. Continuing Dataset Preparation and Tokenization.mp4 -


     12. What is a Data Collator How Does It Work Practical Example.en_US.srt -


     12. What is a Data Collator How Does It Work Practical Example.mp4 -


     13. What is LoRA Why Use It.en_US.srt -


     13. What is LoRA Why Use It.mp4 -


     14. Integrating LoRA Matrices into the Model.en_US.srt -


     14. Integrating LoRA Matrices into the Model.mp4 -


     15. Setting Training Arguments (Training Hyperparameters).en_US.srt -


     15. Setting Training Arguments (Training Hyperparameters).mp4 -


     16. Setting Trainer, Starting Training, and Evaluating Results.en_US.srt -


     16. Setting Trainer, Starting Training, and Evaluating Results.mp4 -


     17. Merging Trained LoRA Matrices with the Model.en_US.srt -


     17. Merging Trained LoRA Matrices with the Model.mp4 -


     18. Uploading Model on Hugging Face and Using it.en_US.srt -


     18. Uploading Model on Hugging Face and Using it.mp4 -


     19. Hyperparameters Affecting the Outputs.en_US.srt -


     19. Hyperparameters Affecting the Outputs.mp4 -


     4. Quantization.ipynb.bin -


     4. What is Quantization How does it affect model size and parameters.en_US.srt -


     4. What is Quantization How does it affect model size and parameters.mp4 -


     5. Create a Hugging Face Account and Get a Token.en_US.srt -


     5. Create a Hugging Face Account and Get a Token.mp4 -


     6. Create a Colab Notebook and Get Familiar with the Libraries.en_US.srt -


     6. Create a Colab Notebook and Get Familiar with the Libraries.mp4 -


     7. Bolum_(Section)_1.ipynb.bin -


     7. Download the Model with Quantization.en_US.srt -


     7. Download the Model with Quantization.mp4 -


     8. Bolum_(Section)_1.ipynb.bin -


     8. Differences Between Base and Instruct Models.en_US.srt -


     8. Differences Between Base and Instruct Models.mp4 -


     9. Download and Examine the Dataset.en_US.srt -


     9. Download and Examine the Dataset.mp4 -


     20. Bolum_(Section)__2.ipynb.bin -


     20. Download the Model and Tokenizer.en_US.srt -


     20. Download the Model and Tokenizer.mp4 -


     21. Adding New Custom Tokens to the Tokenizer.en_US.srt -


     21. Adding New Custom Tokens to the Tokenizer.mp4 -


     22. Creating Templates with New Custom Tokens and Integrating Them into the Dataset.en_US.srt -


     22. Creating Templates with New Custom Tokens and Integrating Them into the Dataset.mp4 -


     23. Bolum_(Section)_3_DPO.ipynb.bin -


     23. What is DPO What Data Format Does It Expect.en_US.srt -


     23. What is DPO What Data Format Does It Expect.mp4 -


     24. Bolum_(Section)_3_DPO.ipynb.bin -


     24. Downloading Model & Understanding How the DPO Data Collator do Padding.en_US.srt -


     24. Downloading Model & Understanding How the DPO Data Collator do Padding.mp4 -


     25. Preparing the Dataset for DPO.en_US.srt -


     25. Preparing the Dataset for DPO.mp4 -


     26. Adding LoRA Matrices to the Model.en_US.srt -


     26. Adding LoRA Matrices to the Model.mp4 -


     27. Setting Training Arguments (with DPOConfig).en_US.srt -


     27. Setting Training Arguments (with DPOConfig).mp4 -


     28. Training the Model and Merging the LoRA Matrices.en_US.srt -


     28. Training the Model and Merging the LoRA Matrices.mp4 -


     29. Bolum_(Section)_4_GRPO_.ipynb.bin -


     29. Thinking__(REASONING)_model.ipynb.bin -


     29. What is a “Reasoning” Model How Does It Work.en_US.srt -


     29. What is a “Reasoning” Model How Does It Work.mp4 -


     30. What is GRPO How Is It Applied.en_US.srt -


     30. What is GRPO How Is It Applied.mp4 -


     31. Bolum_(Section)_4_GRPO_.ipynb.bin -


     31. What are Unsloth and VLLM + Download the Model.en_US.srt -


     31. What are Unsloth and VLLM + Download the Model.mp4 -


     32. Examining the Dataset and Initial Preparation Steps.en_US.srt -


     32. Examining the Dataset and Initial Preparation Steps.mp4 -


     33. Extracting Specific Parts of Data Regex and Group Operations.en_US.srt -


     33. Extracting Specific Parts of Data Regex and Group Operations.mp4 -


     34. In Which Format is Data Sent to Reward Functions.en_US.srt -


     34. In Which Format is Data Sent to Reward Functions.mp4 -


     35. 1st Reward Function.en_US.srt -


     35. 1st Reward Function.mp4 -


     36. 2nd Reward Function.en_US.srt -


     36. 2nd Reward Function.mp4 -


     37. 3rd Reward Function.en_US.srt -


     37. 3rd Reward Function.mp4 -


     38. 4th Reward Function.en_US.srt -


     38. 4th Reward Function.mp4 -


     39. Training Hyperparameters (with GRPO Config).en_US.srt -


     39. Training Hyperparameters (with GRPO Config).mp4 -


     40. Trainer Object and Training Process.en_US.srt -


     40. Trainer Object and Training Process.mp4 -


     41. Results Table Rewards and Sample Outputs.en_US.srt -


     41. Results Table Rewards and Sample Outputs.mp4 -


     42. BONUS_New_GRPO_Notebook.html -


     42. SFT_GRPO_Training.ipynb.bin -


     43. BONUS_New_GRPO_Notebook.html -


     43. SFT_GRPO_Training.ipynb.bin -


     Bonus Resources.txt -

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