RE: LeoThread 2024-12-26 10:36

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RE: LeoThread 2024-12-26 10:36

ahmadmanga (73)in LeoFinance • last month

Introduction to LLaMA 3.3

The video discusses LLaMA 3.3, a new open-source large language model by Meta AI that outperforms major proprietary models in certain benchmarks, offering a cost-effective solution.

Summarized by Llama 3.3 70B Instruct Model

last month in LeoFinance by ahmadmanga (73)

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ahmadmanga (73) last month

LLaMA 3.3 Capabilities

🤖 LLaMA 3.3 is outperforming proprietary models like Gemini's large language model, Anthropics Claw 3.5, and Open AI GPT 4 Omni in smaller categories.
💸 LLaMA 3.3 is 25 times cheaper than GPT 4 Omni, with a cost of $0.10 for 1 million input tokens compared to GPT 4 Omni's $22.50.
📊 LLaMA 3.3 charges a 40-cent rate for 1 million output tokens, whereas GPT 4 Omni charges $10.

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ahmadmanga (73) last month

LLaMA Coder Framework

📈 LLaMA Coder is an open-source framework that utilizes LLaMA 3.3 to generate web apps and full-stack applications with a single prompt.
📦 LLaMA Coder offers features like installing packages and autonomous command execution, making it a great alternative to other apps.
🌐 The framework can be accessed online through the Together AI API or installed locally.

Using LLaMA Coder

💻 To install LLaMA Coder locally, users need to have G, Python, and VS Code installed, and then clone the repository and configure the APIs.
📝 Users can generate web apps and full-stack applications using LLaMA Coder, with the option to enable Shaden packages for frontend design.
📊 LLaMA Coder can generate code for various applications, including a simple frontend website and a mobile-friendly expense tracker web app.

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ahmadmanga (73) last month

Example Use Case

📊 The video demonstrates generating a mobile-friendly expense tracker web app using LLaMA Coder, showcasing its capabilities and ease of use.
📈 The app includes features like a homepage, dashboard, and settings page, with a clean and modern UI.

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