simon10074118

Learn how to utilize various local LLMs (Qwen, Gemma) and explore different techniques to efficiently evaluate and improve the performance of LLM systems.

aischool

Local LLM Utilization Guide Part 1 - Using small LLM(sLLM) & Evaluating and Improving LLM Performance

실습 중심

ai in practice

AI 활용법

에이전트

AISchool

입문

초급

중급이상

대규모 언어 모델

랭체인

LangChain

AI 에이전트

AI Agent

랭그래프

LangGraph

Lecture 1 - Overview of Open Source Local LLM & small LLM(sLLM)

Lecture 2 - LLM Model Performance Evaluation Overview

Setting up the practice environment

Task 1 - Comparing the translation performance of local LLM models

Task 2 - Comparing the MRC QA performance of local LLM models

Task 3 - Building a RAG (Retrieval-Augmented Generation) System with Local LLM Models

Task 4 - Evaluating the Web Search Tool Usage Capabilities of Local LLM Models

Task 5 - Building an AI Agent by Integrating a Local LLM Model with LangGraph

Task 6 - Comparing the Moderation Performance of Local LLM Models

Task 7 - Comparing the Mathematical Reasoning Performance of Local LLM Models

Task 8 - Comparing the Text-to-SQL Performance of Local LLM Models