sjlim89672727

Explains the reasons why LLM is necessary, the technical background, and basic concepts for LLM planners and LLM application planning managers.

arigaram

(For Product Managers) Fundamentals of LLM and Understanding LLM-based Service Planning

chatGPT

chatgpt

생성형ai

ai서비스

입문

초급

중급이상

자연어처리(Natural Language Processing)

챗지피티

ChatGPT

대규모 언어 모델

<3rd Edition> Section 1. [Basic] Why LLMs are Necessary

<3rd Edition> Section 2. [Basic] Examples of LLM Application Fields

<3판> Section 3. [Basic] Technical Background of LLM - AI Overview

<3판> Section 4. [Basic] Technical Background of LLM: Advanced Artificial Intelligence

<Old Edition> (To be deleted upon completion of the 3rd edition section below) [Basic] Technical Background of LLM: AI Training Methods

<3rd Edition> Section 5. [Basic] Technical Background of LLM - Artificial Intelligence Training Methods

<Old Edition> (To be deleted upon completion of the 3rd edition section below) [Basic] Technical Background of LLM: The Role of Deep Learning

<3판> Section 6. [Basic] Technical Background of LLM - The Role of Deep Learning

<Old Edition> (To be deleted upon completion of the 3rd edition section below) [Basic] Technical Background of LLM: Overview of Natural Language Processing (Same content as the existing "Lesson 6. Overview of Natural Language Processing")

<3rd Edition> Section 7. [Basic] Technical Background of LLM - Natural Language Processing Overview

<Old Edition> (To be deleted upon completion of the 3rd Edition section below) [Basic] Basic Concepts of LLM

<3rd Edition> Section 8. [Basic] Basic Concepts of LLM

<Old Edition> (To be deleted upon completion of the 3rd edition section below) [Advanced] Understanding the working principles of LLM intuitively

<3rd Edition> Section 9. [Advanced] Understanding the Principles of How LLMs Work Intuitively

<Old Edition> (To be deleted upon completion of the 3rd edition section below) [Advanced] How can LLMs be utilized in actual services?

<3rd Edition> Section 10. [Advanced] How can LLMs be utilized in actual services?

<Old Edition> (To be deleted upon completion of the 3rd edition section below) [Practical] Fundamentals of LLM and RAG-based Service Planning Practice

<3rd Edition> Section 11. [Practical] Fundamentals of LLM and RAG-based Service Planning Practice

<Old Edition> (To be deleted upon completion of the 3rd edition section below) [Practical] User Experience (UX) Design

<3rd Edition> Section 12. [Practical] User Experience (UX) Design

<Old Edition> (To be deleted upon completion of the 3rd Edition section below) [Practical] Business Strategy and Cost Management Strategy

<3rd Edition> Section 13. [Practice] Business Strategy and Cost Management Strategy

<3rd Edition> Section 14. [Practice] Risk Management and Quality Assurance

<3rd Edition> Section 15. [Practical] Project Execution Practice

<3판> Section 16. [Practical] Case Analysis and Strategic Judgment

<3rd Edition> Section 17. [Practical] Data Quality Management and RAG Planning

<3rd Edition> Section 18. [Practical] Prompt Engineering and Evaluation

<3rd Edition> Section 19. [Practical] Operations and Monitoring

<3판> Section 20. [Practical] Project Management and Collaboration

<3rd Edition> Section 21. [Exercise] Content·Copy/Writing Service Planning

<3판> Section 22. [Practice] Planning a Coding Assistant Service

<3rd Edition> Section 23. [Practice] Planning an Integrated Productivity and Knowledge Work Service

<3판> Section 24. [Practice] Planning a Search and Q&A Engine

<3판> Section 25. [Practice] Multimedia Creation Service Planning

<3rd Edition> Section 26. [Practice] Vertical SaaS Service Planning

<3rd Edition> Section 27. [Practice] Chatbot and Automation Service Planning

<3rd Edition> Section 28. [Practice] API/Platform Service Planning

<3rd Edition> Section 29. [Exercise] Planning the Implementation of an In-house LLM Solution

<3rd Edition> Section 30. [Practice] Planning for Call Center/Voice Bot Automation Solutions

<3판> Section 31. [Exercise] Planning Internal Knowledge Search and In-house Copilot Solutions

<3rd Edition> Section 32. [Practice] Planning an Automated Contract and Document Review (Legal) Solution

<3rd Edition> Section 33. [Exercise] Planning Compliance and Fraud Detection Support Solutions

<3rd Edition> Section 34. [Practice] Planning a Personalized Support Solution for Marketing and Sales

<3판> Section 35. [Practice] Planning a Support Solution for Developer/Data Teams

<3판> Section 36. [Practice] Planning MLOps·LLMOps Operation Support Solutions

<3판> Section 37. [Practice] Planning a Data-Driven Decision Support Solution

<3rd Edition> Section 38. [Practice] Planning a Decision Support Solution for Executives and Management

<3rd Edition> Section 39. [Exercise] Planning R&D and Research Support Solutions

<3rd Edition> Section 40. [Practice] Planning an LLM for Financial Research and Investment Assistance

<3rd Edition> Section 41. [Practice] Planning an LLM Assistant for Public and Policy Analysis

<3판> Section 42. [Practice] Planning for Public and Administrative Complaint Automation Assistance

<3rd Edition> Section 43. [Exercise] Planning an Integrated Public Chatbot Operation Platform

<3rd Edition> Section 44. [Practice] Planning an LLM for Medical and Healthcare Consultation Assistance

<3rd Edition> Section 45. [Practice] Planning an Automation Solution for Finance and Insurance Consultation

<3rd Edition> Section 46. [Practice] Planning for HR, Recruitment, and Evaluation Automation Solutions

<3rd Edition> Section 47. [Exercise] Planning In-house Agent-based Task Automation

<3rd Edition> Section 48. [Practical] Prompt, Context, and Harness Engineering

<3rd Edition> Section 49. [Practical] Multi-Agent Service Planning

<3rd Edition> Section 50. [Practice] RFP, Cost, Risk, and Case Reinterpretation