LLM Fine tune with custom data

Files Included :

1 - What is finetuning.mp4 (21.47 MB)
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2 - Training vs Finetuning.mp4 (55.5 MB)
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3 - The Foundation models.mp4 (37.32 MB)
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4 - Why Finetune.mp4 (9.61 MB)
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5 - Ways to finetune a model.mp4 (50.32 MB)
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6 - Model parameters.mp4 (55.87 MB)
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10 - Token counting function.mp4 (108.17 MB)
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11 - Check warning and OpenAI cost.mp4 (120.02 MB)
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13 - Training vs Validation data.mp4 (49.52 MB)
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14 - Uploading training and validation data to OpenAI.mp4 (49.53 MB)
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15 - Create a fine tune job.mp4 (141.42 MB)
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16 - QA using your new model.mp4 (26.43 MB)
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7 - Models availability and use cases.mp4 (64.96 MB)
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8 - Prepare the sample data.mp4 (121.99 MB)
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9 - Format the sample data.mp4 (164.64 MB)
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17 - Gradient platform Setting up login.mp4 (87.72 MB)
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18 - Gradient platform Interface.mp4 (38.77 MB)
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20 - Create a new model with sample data.mp4 (202.85 MB)
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22 - Fine tuning the model and QA.mp4 (107.57 MB)
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23 - Prepare the datasets with OpenAI.mp4 (153.96 MB)
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24 - Create a finetune model.mp4 (105.65 MB)
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25 - Testing the model in OpenAI playground.mp4 (49.82 MB)
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26 - Elon Musk Tweet Generator Streamlit app.mp4 (97.8 MB)
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27 - Extract any valuable information from raw text.mp4 (83.89 MB)
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