From the course: Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications
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Challenge: Simulate a startup pitch to investors
From the course: Hands-On Generative AI with Multi-Agent LangChain: Building Real-World Applications
Challenge: Simulate a startup pitch to investors
The time has come now to test our knowledge. Let's create another simulation that incorporates bidding as the mode for speaker selection and see how it goes. Your challenge is simple. You have to set up generative agents, both a panel of investors and a startup team with distinct knowledge areas. You need to make sure that they're a reflection of the real world. Next, you need to develop a set of potential questions that may be asked during the pitch, and obviously, an idea that you think might disrupt the market. And finally, you need to run the pitch using decentralized bidding for speaker selection. As you navigate the challenge, your objectives are threefold. First, obviously, we want to display the unique areas of expertise each agent holds. Next, we want to bring these agents to life using a competitive pitch environment. You will be using decentralized bidding, and your agents will fight for their turn to contribute, each eager to push the startup's agenda. And finally…
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Implementing the dialogue agent class1m 56s
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Implementing the dialogue simulator class1m 38s
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Authoritarian vs. decentralized speaker selection2m 11s
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Bidding for decentralized speaker selection1m 31s
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Challenge: Simulate a startup pitch to investors1m 32s
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Solution: Simulate a startup pitch to investors3m 8s
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