Nội dung khóa học

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    Khái quát về khóa học

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    Week 1: Deep Learning Fundamentals

    • 1.1_Slide_Deep Learning Fundamentals_16/03

    • 1.1_Record_Deep Learning Fundamentals_16/03

    • 1.1_Quiz_Deep Learning Fundamentals_Deadline 10/04

    • 1.2_Record_HuggingFace Framework_20/3

    • 1.2_Code_HuggingFace Framework_20/3

    • 1.2_Quiz_HuggingFace Framework_Dealine 10/04/2025
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    Week 2: Introduction to LLMs Overview & Architectures

    • 2.1_Slide_Introduction to LLMs Overview & Architectures_23/3

    • 2.1_Record_Introduction to LLMs Overview & Architectures_23/3

    • 2.1_Quiz_Introduction to LLMs Overview & Architectures_Dealine 14/04/2025

    • 2.2_Record__LLM-focused introduction_30/3

    • 2.2_Slide_LLM-focused introduction_30/3

    • 2.2_Code_LLM-focused introduction_30/3

    • 2.2_Quiz_LLM-focused introduction_Deadline 18/04/2025
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    Week 3: Train/Fine-tune your first model

    • 3.1_Slide_Challenges Training Big Models_03/04

    • 3.1_Record_Challenges Training Big Models_03/04

    • 3.1_Quiz_Challenges Training Big Models_Deadline 03/05/2025

    • 3.2.1_Slide_SFT for LLMs_06/04

    • 3.2.2_Slide_SFT for LLMs_06/04

    • 3.2.1_Code_SFT for LLMs_06/04

    • 3.2.2_Code_Data Loading_06/04

    • 3.2.3_Code_Train_06/04

    • 3.2_Record_SFT for LLMs_06/04

    • 3.2_Quiz_SFT for LLMs_Deadline 03/05/2025
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    Assignment 01: Token Modification

    • Assignment 01 Setup Tutorial

    • Assignment 01_Token Modification_Deadline 22/04/2025
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    Week 4: Train/Fine-tune your first model (cont.)

    • 4.1.1_Slide_SFT for LLMs: Different approaches_10/04

    • 4.1.2_Slide_SFT for LLMs: Different approaches_10/04

    • 4.1_Quiz_SFT for LLMs: Different approaches_Deadline 26/05/2025

    • 4.1_Record_SFT for LLMs: Different approaches_10/04

    • 4.2_Code_ Parameter Efficient training_17/04

    • 4.2_Record_ Parameter Efficient training_17/04

    • 4.2_Quiz_ Parameter Efficient training_Deadline 26/05/2025
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    Week 5: Assignment Break

    • 5.1_Record_TA Office hour_13/04

    • 5.2_Record_TA Office hour_20/4

    • Link đăng ký đề tài và tài liệu_Deadline 24/04/2025
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    Week 6: Alignment to human preference (and beyond)

    • 6.1_Slide_Reinforcement Learing in LLMs_24/4

    • 6.1_Record_Reinforcement Learning in LLM_24/4

    • 6.1_Quiz_Reinforcement Learning in LLM_Deadline 28/05

    • 6.2_Slide_RLHF/DPO Coding_27/4

    • 6.2_Code_RLHF/DPO Coding_27/4

    • 6.2_Record_RLHF/DPO Coding_27/4

    • 6.2_Quiz_RLHF/DPO Coding_Deadline 07/06/2025
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    Week 7: Prompt engineering, Datasets and Evaluation

    • 7.1_Slide_Prompt engineering_08/05

    • 7.1_Record_Prompt Engineering_08/05

    • 7.1_Quiz_Prompt Engineering_Deadline 14/06/2025

    • 7.2_Slide_Synthetic and Data Evaluation_11/05

    • 7.2_Record_Synthetic and Data Evaluation_11/05

    • 7.2_Quiz_Synthetic and Data Evaluation_Deadline 14/06
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    Week 8: Retrieval Augmented Generation

    • 8.1_RAG Tutorial & VectorDB_15/05

    • 8.1_RAG Tutorial & VectorDB_15/05

    • 8.1_Quiz RAG Tutorial & VectorDB_Deadline 21/06

    • 8.2_RAG Tutorial & VectorDB_18/05

    • 8.2_RAG Tutorial & VectorDB_18/05

    • 8.2_Quiz RAG Tutorial & VectorDB_Deadline 21/06
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    Week 9: Optimizing LLM Inference

    • 9.1_Inference packages

    • 9.1_Record_Inference packages_22/05

    • 9.2_Record_TA Q&A_25/05/2025

    • 9.1_Quiz Optimizing LLM Inference_Deadline 21/06
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    Assignment 02: Final Project

    • Submit Assignment 02
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    Week 10: TA Q&A

    • 10.1_Record_TA Q&A_29/05/2025