LLM Finetuning : RunPod and Multi-GPU Practice
danielyouk
Packed with LLM Fine-Tuning Know-how, learned from Silicon Valley LLM Project Practitioners.
초급
LLM, RunPod, openAI API
Bạn có thể học một cách có hệ thống phương pháp tiếp cận thống kê về giao dịch cặp S&P 500 bằng Python. Xây dựng nền tảng cho chiến lược đầu tư không cảm xúc thông qua phân tích dữ liệu chuyên nghiệp.

Phân tích thống kê dữ liệu tài chính
Trực quan hóa tương tác bằng Plotly
Lập trình hướng đối tượng Python
Phân tích chuỗi thời gian Pandas
Tăng tốc độ phân tích bằng xử lý song song dữ liệu
Quản lý gói Python bằng Anaconda
Khóa học này dành cho ai?
Những ai muốn phân tích dữ liệu tài chính bằng Python một cách thống kê
Một nhà phân tích dữ liệu muốn viết script Python một cách gọn gàng bằng cách áp dụng hướng đối tượng.
Có ai đọc hiểu được lập trình cơ bản (ví dụ: vòng lặp for) như đọc hiểu tiếng Anh không?
Cần biết trước khi bắt đầu?
Khả năng đọc hiểu lập trình cơ bản (ví dụ: câu lệnh lặp)
626
Học viên
66
Đánh giá
74
Trả lời
4.8
Xếp hạng
7
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AI Agent 개발팀장으로 현재 활동 중
Tất cả
52 bài giảng ∙ (6giờ 3phút)
Tài liệu khóa học:
Tất cả
24 đánh giá
5.0
24 đánh giá
Đánh giá 6
∙
Đánh giá trung bình 5.0
5
Hello. I took the class well. I felt that you prepared a lot and the content was good, so I was satisfied. Part 2 was a lecture that I look forward to. To explain my background, I know how to use Java and Kotlin as programming languages, but this is my first time learning Python. I also know object-oriented programming, but I have almost no knowledge of data analysis or statistics, so I took this course. To be honest, it was a very unfamiliar concept to me, so it felt difficult, and I think I need to go over it a few more times to get used to it. However, I felt the depth throughout the lecture, and if I could eliminate it through repeated learning, I thought it was an incredibly useful lecture. In my case, there were quite a few concepts I didn't know during the lecture (e.g. Python concepts, Jupyter notebook, zscore, etc.), so I searched them separately and studied them. I studied by following the code one by one, but one thing that was disappointing was that there were parts of the code I had learned up to the previous lecture that were slightly different at the beginning of the next lecture, so I was confused when I was following along and learning. However, the explanation was well done and the materials were well organized, so even though I don't know Python, I was able to understand it by reading it line by line. Also, when I had a problem and asked the instructor, he helped me solve it through Google Meet, so I was very grateful. The content itself was a bit difficult for me, but I think it would be much faster and better for those who have some knowledge of Python or data analysis to understand it. I think the content is really good. I think you will make better lectures and I plan to take the second part.
Luca! Thank you so much for your valuable review. When I met Luca at Google Meet, I could already feel that he was a great talent, and he already uses Java and Kotlin! I will reflect the content you mentioned and the slightly different codes in the middle of the lecture during the renewal. This is a valuable review that gave me a lot of room for improvement. I am still a new instructor, so I have a lot of ideas, but I am still struggling to turn my ideas into lectures at my own pace :) I will do my best to create new lectures and update existing ones. Let's run hard in Part 2 as well. Daniel Dream
Đánh giá 4
∙
Đánh giá trung bình 5.0
5
A well-prepared, high-quality lecture. I liked the fresh content that I couldn't find anywhere else. It was easy to follow along because the explanations were step-by-step.
Impact! Thank you. I think that instructors are motivated to continue creating the next lecture by the encouragement of their students. I think you left a review for my previous lecture as well. Thank you so much. Since you were able to follow along without difficulty, I think you are already skilled. When preparing a lecture, I often find a dilemma where the difficulty level increases when I try to make it as realistic as possible. However, I think that people like Impact need a lecture with a level of difficulty. I admit that the lecture is difficult, but I put a lot of effort into making it, so please ask questions at any time during the lecture if you have any difficulties. Fighting! Daniel Dream
Đánh giá 1
∙
Đánh giá trung bình 5.0
5
It's easy to understand because you explained it calmly.
Thank you. If you have any difficulties during the class, please leave a question on the Q&A board at any time. I hope you will complete the course.
Đánh giá 1
∙
Đánh giá trung bình 5.0
5
It's a difficult subject, but it's helpful that you explain it calmly from a beginner's perspective. I plan to listen to it over and over again.
Thank you so much for your kind review.
Đánh giá 49
∙
Đánh giá trung bình 4.9
5
I like it a lot
Thank you. I will try harder to provide better lectures.
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