wj08286955

This explains the foundational principles of large language models like ChatGPT with a focus on theory.

arigaram

Understanding the Fundamental Principles of Large Language Models (LLMs)

llm성능평가및튜닝

chatGPT

chatgpt

생성형AI

생성형ai

입문

초급

중급이상

자연어처리(Natural Language Processing)

챗지피티

ChatGPT

대규모 언어 모델

[Basic] Understanding Generative AI

[Advanced] 'Understanding Generative AI' Advanced

[Practice] 'Understanding Generative AI' Practice

[Basic] In-depth Understanding of Language Model Principles

[Practice] 'Deep Understanding of Language Model Principles' Practice

[Basic] Autoregressive Models vs. Autoattention Models

[Advanced] 'Autoregressive Models vs. Self-Attention Models' Advanced

[Practice] 'Autoregressive Model vs. Self-Attention Model' Practice

[Advanced] Transformer Architecture

[Practice] 'Transformer Architecture' Practice --> Input and Representation

[Practice] 'Transformer Architecture' Practice --> Understanding and Implementing Attention --> Theory of Scaled Dot Product Attention

[Practice] 'Transformer Architecture' Practice --> Understanding and Implementing Attention --> Implementation of Scaled Dot Product Attention

[Practice] 'Transformer Architecture' Practice --> Understanding and Implementing Attention --> Implementation of Multi-Head Attention

(Posting in progress) [Hands-on] 'Transformer Architecture' Practice --> Transformer Block Components

(Scheduled) [Hands-on] 'Transformer Architecture' Practice --> Complete Transformer Architecture

(Scheduled) [Hands-on] 'Transformer Architecture' Practice --> Pre-trained Models and Applications

[Advanced] Comparison of Open-Source LLM and Closed-Source LLM

[Practice] 'Comparison of Open-Source LLM and Closed-Source LLM' Practice

[Basic] Understanding Fundamental Concepts Related to LLM Training

[Advanced] Understanding Basic Concepts Related to LLM Training - Advanced

[Basic] A Taste of Implementing Tokenization for LLMs

[Advanced] Complete Guide to Tokenization for LLMs --> Beginner Edition

[Advanced] Complete Guide to Tokenization for LLMs --> Intermediate Level

[Advanced] Complete Guide to Tokenization for LLMs --> Advanced Edition

[Basic] Understanding the Complete LLM Creation Process - (1) Building a Foundation Model

(Posting in Progress) [Basic] Understanding the Complete LLM Creation Process - (2) Follow-up Tasks

(Scheduled) [Basic] Understanding the Complete LLM Development Process - (3) Advanced Operations and Maintenance (LLM-Ops)

[Advanced] 'Understanding the Complete LLM Development Process' Advanced - (1) Project Planning

(Upcoming) [Advanced] 'Understanding the Complete LLM Creation Process' Advanced - (2) Data Collection

(Scheduled) [Advanced] 'Understanding the Complete LLM Creation Process' Advanced - (3) Data Cleaning

(Scheduled) [Advanced] 'Understanding the Complete LLM Creation Process' Advanced - (4) Dataset Management

(Upcoming) [Advanced] 'Understanding the Complete LLM Development Process' Advanced - (5) Tokenization

(Scheduled) [Advanced] 'Understanding the Complete LLM Development Process' Advanced - (6) Pre-Training

(Scheduled) [Advanced] 'Understanding the Complete LLM Development Process' Advanced - (7) Fine-Tuning

(Scheduled) [Advanced] 'Understanding the Complete LLM Development Process' Advanced - (8) Reinforcement Learning for Alignment

(Scheduled) [Advanced] 'Understanding the Complete LLM Development Process' Advanced - (9) Performance Evaluation

(Scheduled) [Advanced] 'Understanding the Complete LLM Development Process' Advanced - (10) Safety Verification

(Scheduled) [Advanced] 'Understanding the Complete LLM Development Process' Advanced - (11) Deployment

(Scheduled) [Advanced] 'Understanding the Complete LLM Development Process' Advanced - (12) Operations

(Scheduled) [Hands-on] 'Understanding the Complete Process of LLM Development' Practice - (1) Comprehensive Summary of Practice Process

(Scheduled) [Hands-on] 'Understanding the Complete LLM Creation Process' Practice - (2) Environment Setup

(Scheduled) [Hands-on] 'Understanding the Complete LLM Development Process' Practice - (3) Data Preparation

(Scheduled) [Hands-on] 'Understanding the Complete LLM Creation Process' Practice - (4) Tokenizer

(Scheduled) [Hands-on] 'Understanding the Complete LLM Development Process' Practice - (5) Model Implementation

(Scheduled) [Hands-on] 'Understanding the Complete LLM Development Process' Practice - (6) Training

(Scheduled) [Hands-on] 'Understanding the Complete LLM Development Process' Practice - (7) Fine-tuning

(Scheduled) [Hands-on] 'Understanding the Complete LLM Development Process' Practice - (8) Inference

(Scheduled) [Hands-on] 'Understanding the Complete LLM Development Process' Practice - (9) Evaluation

(Scheduled) [Hands-on] 'Understanding the Complete LLM Development Process' Practice - (10) Safety

(Scheduled) [Hands-on] 'Understanding the Complete Process of LLM Development' Practice - (11) Deployment

[Basic] Detailed LLM Training Process

(Planned) [Advanced] 'LLM Training Process Details' Advanced

[Practice] 'LLM Training Process Details' Practice

[Basic] LLM Evaluation Methods

(Scheduled) [Advanced] 'LLM Evaluation Methods' Advanced

[Practice] 'LLM Evaluation Methods' Practice

[Basic] LLM Lightweighting

(Scheduled) [Advanced] 'LLM Lightweight/Optimization' Advanced

(Scheduled) [Hands-on] 'LLM Lightweight' Practice

(Upcoming) [Advanced] Ethical Considerations and Responsible AI in LLMs

(Scheduled) [Hands-on] 'Ethical Considerations of LLMs and Responsible AI' Practice

(Upcoming) [Advanced] LLM Applications and Deployment Strategies

(Scheduled) [Hands-on] 'LLM Application and Deployment Strategy' Practice

[Advanced] Current State of Latest LLM Technology

(Scheduled) [Hands-on] 'Latest LLM Technology Trends' Hands-on Practice

(Upcoming) [Advanced] Latest LLM Research Trends and Future Outlook

(Scheduled) [Hands-on] 'Latest LLM Research Trends and Future Outlook' Hands-on Practice

(Scheduled) [Advanced] Practical Applications of Generative AI

(Scheduled) [Hands-on] 'Practical Application of Generative AI' Workshop

(Scheduled) [Advanced] Guide to Small-Scale Practice and Project-Based Learning Methods

(Scheduled) [Hands-on] 'Guide to Small-scale Hands-on Practice and Project-based Learning Methods' Practice