AI Eğitimleri

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.

Learn how to build and publish a mobile app using Lovable AI, integrating it with Supabase for backend services and GitHub for version control.

Learn about the new flagship vision-language model and run it on a laptop with 8GB VRAM.

Learn to code an unbeatable Tic-tac-toe AI using the Minimax algorithm in Python. This tutorial covers theory, implementation, and optimization, ideal for game AI enthusiasts.

Learn how to install, set up, and run DeepSeek-R1 locally with Ollama and build a simple RAG application.