4.61 GB | 14min 11s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Introduction.mp4 (33.34 MB)
1 -Bert Fine tune overview.mp4 (9.34 MB)
2 -Neural network fine tune Intro.mp4 (26.18 MB)
3 -Bert Fine Tune code library code.mp4 (47.17 MB)
4 -NER dataset overview.mp4 (33.41 MB)
5 -Bert NER data chunking code.mp4 (17.24 MB)
6 -Tokenization Thoery.mp4 (11.63 MB)
7 -Tokenization data code.mp4 (42.1 MB)
8 -Tokenization and ALign label fun code.mp4 (95.71 MB)
9 -Sample Accuracy testing.mp4 (73.93 MB)
10 -Training Bert Model.mp4 (63.28 MB)
11 -Evalualte Fine Tuned Model.mp4 (66.53 MB)
12 -Publish your model to Hugging face.mp4 (40.08 MB)
1 -Lora Fine Tune Intro.mp4 (29.14 MB)
2 -QLORA Fine Tune Intro.mp4 (37.35 MB)
3 -Hugging face API create.mp4 (11.67 MB)
4 -Library and dataset Intro Samsun Mistrael.mp4 (53.29 MB)
5 -Load Dataset Samsun.mp4 (83.96 MB)
6 -QLORA Model code.mp4 (63.33 MB)
7 -LORA model config code.mp4 (21.35 MB)
8 -Train and Publish the model.mp4 (53.45 MB)
9 -Inference the Model.mp4 (53.79 MB)
10 -Testing the Fine Tune model.mp4 (74.12 MB)
1 -GPT Fine Tune Overview.mp4 (38.34 MB)
2 -Train the GPT Model.mp4 (111.03 MB)
3 -Inference GPT Model.mp4 (82.71 MB)
4 -Data Preparation Fine Tune.mp4 (33.36 MB)
1 -Reinforcement learning overview.mp4 (28.02 MB)
2 -SFT Overview DPO code.mp4 (51.82 MB)
3 -RLHF DPO Overview code.mp4 (48.44 MB)
4 -SFT training code.mp4 (39.17 MB)
5 -DPO Overview.mp4 (93.26 MB)
6 -Tatsu lab alpaca Dataset code.mp4 (62.48 MB)
7 -SFT Training and Save Model.mp4 (66.46 MB)
8 -DPO config Overview.mp4 (27.66 MB)
9 -DPO Training with preference data.mp4 (98.18 MB)
10 -Training and Save Model Hugging face.mp4 (29.02 MB)
11 -DPO Fine tune model Inferencing.mp4 (33.33 MB)
1 -Model Distillation Intro.mp4 (15.71 MB)
2 -What is LLMs Distillation.mp4 (8.74 MB)
3 -Knowledge Distillation Architecture.mp4 (26.31 MB)
4 -Library install of Distillation.mp4 (23.45 MB)
5 -Data Filter code.mp4 (41.44 MB)
6 -Prompt Code.mp4 (23.29 MB)
7 -Token price in Fine tune.mp4 (19.23 MB)
8 -Chat completion Response format.mp4 (31.03 MB)
9 -Parallel processing.mp4 (35.35 MB)
10 -GPT data processing.mp4 (36.72 MB)
11 -GPT training.mp4 (18.65 MB)
12 -Model distillation Fine Tune.mp4 (23.17 MB)
13 -Check fine tune status automatically.mp4 (11.48 MB)
14 -Fine Tune Dashboard.mp4 (9.78 MB)
15 -Distilled model Testing.mp4 (45.42 MB)
1 -Deepseek model Intro.mp4 (56.9 MB)
2 -Supervised Fine Tuning.mp4 (25.97 MB)
3 -Dataset intro.mp4 (11.23 MB)
4 -SFT code part1.mp4 (24.52 MB)
5 -SFT Code Part 2.mp4 (75.48 MB)
6 -SFT Load model dataset.mp4 (77.44 MB)
7 -SFT Training.mp4 (62.11 MB)
8 -SFT Training the dataset.mp4 (63.32 MB)
9 -SFT Model dataset.mp4 (19.77 MB)
10 -SFT Infernce.mp4 (51.02 MB)
11 -Custom model Inferencing and Save.mp4 (58.69 MB)
1 -Open Azure Free Account.mp4 (24.52 MB)
2 -Azure subscription create (Optional).mp4 (8.66 MB)
3 -Azure AI Foundry Resource.mp4 (24.53 MB)
4 -Azure cost Management.mp4 (18.81 MB)
5 -Azure Fine Tune Intro.mp4 (30.92 MB)
6 -AI Foundry Overview.mp4 (25.13 MB)
7 -Tourism Dataset Overview.mp4 (31.25 MB)
8 -Azure BLOB upload dataset.mp4 (30.42 MB)
9 -Supervised Fine Tuning.mp4 (38.95 MB)
10 -SFT Completion Overview.mp4 (12.97 MB)
11 -Deployment Fine Tuned Model.mp4 (26.36 MB)
12 -Demo Azure Fine Tuned Tourism Model.mp4 (46.72 MB)
13 -Delete unused Resources.mp4 (46.72 MB)
1 -AWS create Account.mp4 (28.98 MB)
2 -Dataset Overview.mp4 (37.39 MB)
3 -Load Dataset S3.mp4 (17.04 MB)
4 -Model Access.mp4 (19.58 MB)
5 -AWS Bedrock-Fine Tune model.mp4 (42.69 MB)
6 -Validation status.mp4 (10.11 MB)
7 -Fine Tune Validation.mp4 (28.62 MB)
8 -Delete Unused Resources.mp4 (8.8 MB)
1 -Create GCP Account Free.mp4 (12.65 MB)
2 -Vertex AI Overview.mp4 (24.73 MB)
3 -Dataset Overview.mp4 (17.64 MB)
4 -Fine Tuning Vertex AI.mp4 (19.25 MB)
5 -Training Details.mp4 (35.37 MB)
6 -Fine Tuned Model Testing.mp4 (17.34 MB)
7 -Delete unused Resources.mp4 (9.89 MB)
1 -Python Architecture.mp4 (6.47 MB)
2 -Print and Comment command.mp4 (11.15 MB)
3 -Variables.mp4 (30.99 MB)
4 -Data Type Number.mp4 (38.72 MB)
5 -Data Type String.mp4 (31.04 MB)
6 -Data Type Boolean.mp4 (9.05 MB)
7 -Operator Python.mp4 (10.88 MB)
8 -Collection List.mp4 (31.99 MB)
9 -Collection Set.mp4 (45.94 MB)
10 -Collection Dictionary.mp4 (30.54 MB)
11 -If else Condition.mp4 (76.79 MB)
12 -While Loop.mp4 (53.55 MB)
13 -For Loop.mp4 (27.92 MB)
14 -Function Intro.mp4 (16.89 MB)
15 -Function Code.mp4 (80.45 MB)
16 -Collection Tuple.mp4 (37.62 MB)
17 -Lamda Python.mp4 (18.51 MB)
18 -Array Function.mp4 (40.22 MB)
19 -Class blueprint.mp4 (12.98 MB)
20 -Python init.mp4 (56.48 MB)
21 -Class str.mp4 (33.08 MB)
22 -Class function.mp4 (42.13 MB)
23 -Inheritance Intro.mp4 (19 MB)
24 -Inheritance with init.mp4 (47.47 MB)
25 -Iterator python.mp4 (31.13 MB)
26 -Polymorphism.mp4 (45.6 MB)
27 -Scope.mp4 (30.37 MB)
28 -Modules.mp4 (36.97 MB)
29 -Dates.mp4 (25.82 MB)
30 -Math Modules.mp4 (30.95 MB)
31 -Regular expression.mp4 (20.34 MB)
32 -JSON Object.mp4 (36.52 MB)
33 -PIP Package.mp4 (12.21 MB)
34 -Exception handling.mp4 (113.52 MB)
35 -User Input.mp4 (8.93 MB)
36 -String format.mp4 (52.28 MB)
37 -File Read.mp4 (36.25 MB)
38 -File Write.mp4 (27.22 MB)]
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