AI チュートリアル

Learn how to use PaliGemma 2 Mix to build an AI-powered bill scanner and spending analyzer that extracts and categorizes expenses from receipts.

Learn to build an end-to-end job placement prediction project using the o3-mini model, from project planning to model deployment.

Learn how to use Gemini 2.0 Flash's massive context window to build a SaaS sales insights tool that answers business queries without needing RAG.

Learn how to set up a Databricks account, register the DeepSeek R1 model, deploy it to an endpoint, and access it locally for seamless AI integration!

Learn how to use Sora AI to create and edit videos, including using remix, loop, re-cut, style presets, and storyboards.

Build a chat app that can understand text, images, audio, and documents, as well as execute Python code. Truly a multimodal application closer to AGI.

Learn about the policy gradient theorem in RL and how to derive it mathematically. Implement an algorithm based on policy gradients to solve a simple RL environment in Gymnasium.

Learn how to build a local RAG chatbot using DeepSeek-R1 with Ollama, LangChain, and Chroma.

Learn how to use the DeepSeek API, including model selection, parameter management, cost optimization, context caching, and chain-of-thought optimization.

Learn the step-by-step process of setting up a RAG application using Llama 3.2 Vision, Ollama, and ColPali.

Deploy the AWQ version of Llama 3.3 70B using vLLM, BentoML, and BentoCloud to create a highly efficient, low-latency system with exceptional throughput.

Learn the hill climbing algorithm in Python. This guide covers types, limitations, and real-world AI applications with code examples.