Non-technical Introduction to Large Language Models --> [ DevCourseWeb ]
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Torrent File Content (25 files)
[ DevCourseWeb.com ] Udemy - Non-technical Introduction to Large Language Models
Get Bonus Downloads Here.url -
Get Bonus Downloads Here.url -
182 bytes
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1. Introduction/1. Introduction.mp4 -
1. Introduction/1. Introduction.mp4 -
4.86 MB
2. What is a Large Language Model/1. Defining Large Language Models.mp4 -
10.67 MB
2. What is a Large Language Model/2. A Large Language Model in a Diagram.mp4 -
83.3 MB
2. What is a Large Language Model/3. How Large Language Models work.mp4 -
51.55 MB
3. Important Terminologies/1. Context Length.mp4 -
37.76 MB
3. Important Terminologies/2. Dataset.mp4 -
85.77 MB
3. Important Terminologies/3. Fine-tuning.mp4 -
27.01 MB
3. Important Terminologies/4. Hallucinations.mp4 -
23.59 MB
3. Important Terminologies/5. LoRA and QLoRA.mp4 -
29.25 MB
3. Important Terminologies/6. Quantization.mp4 -
44.14 MB
3. Important Terminologies/7. Foundation Model.mp4 -
16.13 MB
4. How LLMs are trained/1. How Large Language Models are Trained.mp4 -
9.85 MB
4. How LLMs are trained/2. Alpaca Model with Synthetic Data.mp4 -
17.87 MB
5. What are some examples of Large Language Models/1. Primary types of Large Language Models.mp4 -
14.8 MB
5. What are some examples of Large Language Models/2. Proprietary vs Open Source.mp4 -
125.68 MB
6. Different use cases of LLMs/1. Creating Documentation.mp4 -
40.69 MB
6. Different use cases of LLMs/2. Coding.mp4 -
33.2 MB
6. Different use cases of LLMs/3. Coding - More advanced.mp4 -
47.77 MB
6. Different use cases of LLMs/4. Writing a story.mp4 -
52.16 MB
7. Finetuning an LLM using custom dataset/1. Offline applications you can use.mp4 -
70.16 MB
7. Finetuning an LLM using custom dataset/2. Fine-tuning a Large Language Model Part 1.mp4 -
80.21 MB
7. Finetuning an LLM using custom dataset/3. Fine-tuning a Large Language Model Part 2.mp4 -
282.54 MB
8. End note/1. What's next.mp4 -
46.86 MB
Bonus Resources.txt -
386 bytes
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