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5.98 GB | 00:31:12 | mp4 | 1920X1080 | 16:9
Genre: eLearning | Language : English

Files Included :
1 - What is Generative AI (13.88 MB)
2 - What was before GENAI (10.41 MB)
3 - GEN AI TOOLS (38.65 MB)
4 - Better use of GEN AI (26.09 MB)
5 - GENAI USE CASE WRITING (38.68 MB)
6 - GEN AI Reading use cases (14.03 MB)
7 - gen AI Usecase chatting (43.33 MB)
8 - How to get Better Results from LLM (45.51 MB)
9 - Responsible AI (35.98 MB)
49 - PPO (38.3 MB)
50 - DPO VS ORPO (54.25 MB)
51 - Using Langchain with Ollama to perform RAG with PDFs (319.82 MB)
52 - RAG With CSV File (219.71 MB)
53 - Image prompt engineering (501.05 MB)
54 - Stable Diffusion (272.84 MB)
55 - Stable diffusion model train methods (138.09 MB)
56 - Stable Diffusion Resources (425.36 MB)
57 - FORGE setup (144.31 MB)
10 - Augmentation vs Automation (20.25 MB)
11 - The Kalpan Paper (50.52 MB)
12 - The Chinchilla Paper (162.87 MB)
13 - Transformers (97.01 MB)
14 - GEN AI LIFE CYCLE (42.31 MB)
15 - RAG INTRO (25.73 MB)
16 - Fine tuning model intuition (65.9 MB)
17 - RLHF INTUTION (11.3 MB)
18 - Tools Agents (19.11 MB)
19 - Prompt Engineering Introduction (32.87 MB)
20 - LLM configuration parameters (8.8 MB)
21 - Lecture 2 Llama 2 vs Llama 2 chat (59.57 MB)
22 - Set up using Lamma 2 (184.45 MB)
23 - Stateless LLMs (126.53 MB)
24 - Base LLM VS Fine Tuned LLM (25.5 MB)
25 - System Prompts (13.47 MB)
26 - Quantized models (86.84 MB)
27 - Quantized Models Notebook (327.24 MB)
28 - AWQ SETUP and usage of notebook (124.44 MB)
29 - Check Conditions assumptions (27.96 MB)
30 - Clear Instructions Delimiters (109.34 MB)
31 - Specific Output Structure (13.49 MB)
32 - Few Shot Prompting (31.02 MB)
33 - Give time to think (191.83 MB)
34 - Hallucination (42.74 MB)
35 - Iterative Prompting (11.77 MB)
36 - Issues While summarizing (73.02 MB)
37 - summarize (96.11 MB)
38 - Inference (217.11 MB)
39 - Transformation (268.07 MB)
40 - Expanding (327.87 MB)
41 - Prompt Tuning (44.08 MB)
42 - LLM FINE TUNING (136 MB)
43 - GLUE SUPER GLUE (21.73 MB)
44 - HELM (37.41 MB)
45 - LLM FINE TUNING Implementation (368.62 MB)
46 - PEFT (119.57 MB)
47 - QLORA (17.77 MB)
48 - PEFT Implementation (89.24 MB)

Screenshot
https://images2.imgbox.com/25/b4/Fi5NLi8y_o.jpg

https://ddownload.com/7p4zsf6pcdr5/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part1.rar
https://ddownload.com/bo09onq2juf6/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part2.rar
https://ddownload.com/0ggh0o6d6u3u/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part3.rar
https://ddownload.com/jcmdti96iqck/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part4.rar
https://filestore.me/gsl5dncr5zw7/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part1.rar
https://filestore.me/14c67wklqeae/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part2.rar
https://filestore.me/0tm1xfmh3pzf/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part3.rar
https://filestore.me/m2kc5lg9nygc/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part4.rar

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