Udemy NEW 2024Mastering Generative AI-From LLMs to Applications

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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://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://rapidgator.net/file/2ab3b5e86763bde1595467d15d711624/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part1.rar
https://rapidgator.net/file/8c6f18ab473cd57d513f26d534319a8f/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part2.rar
https://rapidgator.net/file/19d4bc7b8f3fc0fe589c1840d9e93b9a/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part3.rar
https://rapidgator.net/file/e289eda2f0161b37de2688cf985def71/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part4.rar

https://nitroflare.com/view/C13CEF00AA01335/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part1.rar
https://nitroflare.com/view/C3F6ACDB70AA572/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part2.rar
https://nitroflare.com/view/D7C37151D576068/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part3.rar
https://nitroflare.com/view/A4C347E18840490/Udemy_NEW_2024Mastering_Generative_AI-From_LLMs_to_Applications.part4.rar