Llamaestro is built on top of Maestro. It provides users the following benefits:

1. Cheaper 🤑 - Maestro was uh... pricey (Opus is a baller 💸; LLama3 is a penny pincher)
2. Easier to run 🏃‍♂️ - don't have to manage packages
3. Faster 🚀 - Llamaestro utilizes Groq API and is so fast I had to build in a sleep timer to prevent hitting rate limits.
4. User-friendlier 🙈 - You don't have to look at code

1. Go to the GroqCloud dashboard and create a new API key.
2. Copy this Google Colab notebook.
3. Click the "Secrets" (key icon) on the left sidebar and click "Add secret".
4. Enter a name for your secret: "GROQ_API_KEY" and paste your GroqCloud API key as the value.
5. Click Runtime in the top navigation bar and click "Run All" or just hit cmd+enter a few times

Maestro is a multi-agent framework designed to break down complex objectives into smaller sub-tasks and coordinate the execution of these sub-tasks using different AI agents. The framework consists of three main components:

Llamaestro (Llama 3): The primary AI agent responsible for decomposing the objective into smaller sub-tasks and coordinating the overall workflow. Little Llama: An AI agent that handles the execution of individual sub-tasks generated by Llamaestro. Big Llama: An AI agent that reviews and refines the results produced by Little Llama to ensure the final output meets the original objective.

The Maestro framework is particularly useful for tackling complex, multi-step objectives that require a systematic approach and the coordination of multiple AI agents.

• Research & Summaries
• Coding small to medium apps
• Writing a book

If you have thoughts connect with me on X or LinkedIn.

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