Key insights

• ⚙️ Learn to build AI agents with llama free model without extensive programming knowledge and slow computer
• 🔌 Connect to the AMA, use VS code for coding, and achieve high performance with Gro
• 🚀 Take the first step to build AI agents with the llama 370b model
• 💻 Process of downloading AMA, VS code, and the model for building agents
• 📥 Download and install the LM model to use it for AI development
• 📧 Use CreAI and O'Lama to build an email classifier
• 🤖 Setting up agents, tasks, and crew in CreAI to automate email classification and response using Python
• ⚡ Setting up Gro API key, following GitHub documentation for setup, and experiencing the speed and power of the AI Revolution

Q&A

• What is the process for setting up and using an API key for Gro?

  You can set up and use an API key for Gro by following the GitHub documentation for setup. This will allow you to experience the speed and power of the AI Revolution. The importance of staying ahead in AI is also emphasized.

• Why is AI llama 3 not working well through crew AI, despite working perfectly in the terminal?

  AI llama 3 may not function properly with crew AI but work well in the terminal. Additionally, adding the Gro API is explained for those with low-powered computers to enhance the performance of AI llama 3.

• What are the steps for setting up agents, tasks, and crew in CreAI for email classification and response automation?

  To automate email classification and response using Python in CreAI, you can set 'verbos' to true to see message flow in the terminal, set 'allow_delegation' to false to prevent task delegation, assign the model 'llm' to customize AI agents, create and configure email classification and response tasks, and define a crew while assigning agents to it.

• How can I use CreAI and O'Lama to build an email classifier?

  You can use CreAI and O'Lama to build an email classifier by importing necessary modules like LChain Community package and CreAI, choosing a model, defining the type of agents to build, and creating a simple email classifier. Additionally, you can generate a random email for classification.

• How long does it take to download and install the LM model?

  Downloading and installing the LM model can take 20 minutes for a 4.7 GB model or up to 3 hours for a 40 GB model. Once installed, you can chat with the LM model locally, but the ultimate goal is to build AI agents with Lama free in VS Studio. Subscription and creating an empty Python file named 'main.py' in VS Studio for AI development, importing the AMA package to start working with the LM model, and installing the required package using 'PIP install crew AI' are integral parts of the process.

• How can I build AI agents using the llama free model, even with limited programming knowledge and a slow computer?

  To build AI agents with the llama free model, even with limited programming knowledge and a slow computer, you can use the AI Model Assistant (AMA) to run models locally, employ Visual Studio (VS) code for coding, and leverage Gro for high performance. It's important to connect Gro to your team of agents for fast performance. You can also access workshops to learn how to build AI agents even without extensive programming skills. The process includes downloading AMA, VS code, and the llama model for building agents.

• 00:00 Learn to build AI agents using the new llama free model even with limited programming knowledge and a slow computer. Connect to the AMA, use VS code for coding, and achieve high performance with Gro. Take the first step to build AI agents with the llama 370b model.
• 01:49 To use the LM model, you need to download it, which can take 20 minutes for a 4.7 GB model or 3 hours for a 40 GB model. After installation, you can chat with the LM locally, but the goal is to build AI agents with Lama fre in VS Studio.
• 03:31 In this segment, the speaker explains how to use CreAI and O'Lama to build an email classifier. They also demonstrate creating a simple email classifier and generating a random email for classification.
• 05:35 Setting up agents, tasks, and crew in CreAI to automate email classification and response using Python.
• 07:46 The AI llama 3 is not working well through crew AI, despite working perfectly in the terminal. Adding the Gro API is explained for those with low-powered computers.
• 09:55 The transcript discusses setting up and using an API key for Gro, following the GitHub documentation, and experiencing the speed and power of the AI Revolution.