良い講義をありがとうございます。

kimsc

ビジョン言語モデル(Vision-Language Model, VLM)の概念と活用方法を理解し、実際にLLaVAモデルをOllamaベースの環境で実行し、MCP(Model Context Protocol)と連動する過程を実習する入門者向けの講義です。

この講義は、マルチモーダルモデルの原理、量子化(Quantization)、サービス及び統合デモ開発まで扱い、理論と実習をバランスよく提供します。

dreamingbumblebee

[VLM101] ファインチューニングでマルチモーダルチャットボットを作る (feat.MCP / RunPod)

실습 중심

This is an introductory course for understanding the concept and application methods of Vision-Language Models (VLM), and practicing running the LLaVA model in an Ollama-based environment while integrating it with MCP (Model Context Protocol).

This course covers the principles of multimodal models, quantization, service development, and integrated demo development, providing a balanced mix of theory and hands-on practice.

입문

초급

중급이상

비전 트랜스포머

Vision Transformer

transformer

메타 대규모 언어 모델

Llama

Model Context Protocol

[VLM101] Building a Multimodal Chatbot with Fine-tuning (feat.MCP / RunPod)

Orientation

Understanding Vision Language Model (VLM)

VLM Finetuning & Quantization Lab

Understanding Model Context Protocol (MCP) and PoC Demo Development

Chat Demo Implementation Practice (Hands On)