Скачать с ютуб Maestro + Qwen2 + DeepSeek-Coder-V2 : Generate APPLICATIONS with ONE PROMPT (FREE, LOCAL & FAST) в хорошем качестве

Maestro + Qwen2 + DeepSeek-Coder-V2 : Generate APPLICATIONS with ONE PROMPT (FREE, LOCAL & FAST)

In this video, I'll be telling you that how you Generate Applications with Local AI Model Agents. This way you can do Text - To - Applications for free and locally. In this video, I'll be using Maestro combined with Qwen2 and DeepSeek Coder model via Ollama. This way you can outperform Claude-3.5 sonnet while being free. We'll make agents and sub-agents with these models and we'll be generating Games, Websites, Applications and much more in this video and figuring out which model configuration works best for local usage. You can also do Text-To-Frontend, Text-To-Application and other things with this. This Maestro tool can also be used with any opensource LLM, OpenAI models or the other Claude models such as GPT-4O, Claude-3, CodeQwen, Mixtral 8x22b, Mixtral 8x7b, GPT-4, Grok-1.5 & Gemini Code Assist. ------- Resources: Maestro Github Repo : https://github.com/Doriandarko/maestro ------ Key Takeaways: 📌 Revolutionary AI Creation: Discover how Maestro with Claude-3.5 Sonnet allows you to create apps like Desktop Apps, Web Apps, and Games with a single text prompt, using innovative AI Agents technology. 💡 Agent-Based Framework: Learn about the powerful agent-based framework where the Orchestrator LLM breaks down tasks, Sub-Agent LLMs handle execution, and the Refiner LLM ensures quality, providing seamless AI development. 💰 Cost-Effective Local LLMs: Explore the benefits of using local LLMs like DeepSeek Coder and Qwen, reducing API costs while maintaining high performance with the Maestro framework's flexibility. ⚙️ Step-by-Step Configuration: Follow our detailed guide to configure and install Ollama models, DeepSeek Coder V2, and Qwen2 72B, ensuring you set up your AI environment correctly and efficiently. 🎮 Creating a Snake Game: Watch as we demonstrate creating a Snake game using HTML, CSS, and JS, comparing results between Claude and local models, showcasing the potential of different AI configurations. 🌟 High Customizability: Understand the extensive customizability of the Maestro framework, allowing you to mix and match models from Anthropic, Gemini, and OpenAI to tailor your AI projects to specific needs. 👍 Viewer Engagement: Engage with our content by sharing your thoughts in the comments, liking the video, subscribing to the channel, and using the Super Thanks option to support further innovative AI content creation. -------- Timestamps: 00:00 - Introduction 00:12 - About Maestro (Text-to-Application with Agents) 00:30 - About Agents 01:04 - Using it with Local LLMs 01:40 - Installation 03:40 - Using just the DeepSeek-Coder-V2 model leads to FAILURE 04:33 - Replacing DeepSeek-Coder-V2 with Qwen2 as Orchestrator 05:36 - Insane Results Outperforming Claude-3.5-Sonnet 07:53 - Conclusion