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Explore 10 innovative applications of GPT-4 Vision, from app creation to image analysis, showcasing its versatility and potential in various real-world scenarios.
Build an AI chatbot that interacts with YouTube videos using OpenAI API, Flask, and Python. Learn essential AI engineering skills through this hands-on project for beginners.
Explore OpenAI's latest innovations: GPT Vision, Dall-E 3, TTS, GPT-4 Turbo 128K, and Assistants API. Hands-on tests and insights into these cutting-edge AI technologies.
Explore step-by-step fine-tuning of ChatGPT 3.5 using GPT-4 synthetic data. Learn dataset selection, generation, model training, and evaluation for improved LLM results.
Explore AI code generation techniques using GPT-4, GitHub Copilot, and open-source models. Learn practical skills for data analysis, API integration, and leveraging AI tools in engineering projects.
Explore five innovative recursive improvement loops using GPT-4 Vision, including DALL-E 3 integration, HTML generation, and creative storytelling applications.
Beginner-friendly introduction to AI engineering, covering APIs, Python, and hands-on projects like building chatbots, chaining prompts, transcription, and image manipulation using OpenAI's tools.
Learn to rapidly develop and deploy a game using Claude 3.5 AI, covering ideation, coding, asset integration, and Firebase hosting in this comprehensive tutorial.
Explore a compact, local AI vision-language model capable of text analysis, video interpretation, and speech-to-speech conversion, showcasing impressive capabilities in various tests.
Enhance AI instruction skills using Open Interpreter, a tool for executing code locally. Practice with four challenges to improve your ability to guide language models effectively.
Learn to create agentic behavior using LLM APIs, text-to-speech, and customizable prompts in this beginner-friendly AI engineering project. Explore practical implementation and testing.
Step-by-step guide to fine-tuning a Mistral 7B model locally, covering dataset creation, conversion, uploading, fine-tuning, model conversion, and testing, with practical demonstrations and insights.
Comprehensive tutorial on building a website with integrated LLM functionality, covering setup, development, and AI integration using Claude 3 Opus and Groq.
Learn to generate LeetCode datasets and fine-tune Phi-3 models using Unsloth for improved coding problem-solving performance. Explore dataset creation, model training, and result evaluation.
Learn to build AI agents with Llama 3 8B, exploring function calling, tool creation, and customization. Hands-on tutorial for developing powerful local language models with practical applications.
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