170 - Guest: Michael Sharpe, AI Agent Platform CEO
Sep 18, 2023
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Guest Michael Sharpe, CEO of Magick ML, discusses generative AI agents and their incorporation into systems. They delve into the creation of AI Dungeon, concerns around agent systems, the landscape of the AI industry, and the comparison between corporations and super intelligences.
MagicML is an open source development environment that allows users to build generative agents based on large language models, making it easy for anyone to create AI-powered agents without extensive coding knowledge.
Generative agents, powered by large language models, offer the potential to transform various industries and tasks, providing personalized educational experiences and valuable assistance, and MagicML aims to make building and deploying these agents more accessible and efficient.
Deep dives
MagicML: Building Generative Agents with AI
MagicML is an open source development environment that allows users to build generative agents based on large language models. It aims to make it easy for anyone to create AI-powered agents without the need for extensive coding knowledge. By putting a language model into a loop, agents can think, reason, and take actions based on the information they receive. MagicML provides a low code or no code platform that empowers users to develop agents that can interact with various data sources, such as calendars and emails. The platform also offers transparency and control, allowing users to switch between different commercial models and customize their agents' behavior. MagicML envisions a future where AI agents can enhance daily life, assist in education, and improve productivity.
The Promise of Generative Agents
Generative agents, powered by large language models, offer the potential to transform various industries and tasks. These agents can think, reason, and learn, enabling personalized educational experiences for children and providing valuable assistance for individuals. By combining language models with cognitive architecture, agents can exhibit emergent behavior and interact with the world, similar to human-like reasoning. MagicML, a low code/no code platform, aims to make building and deploying generative agents more accessible and efficient. It seeks to enable users to create agents that take actions, store memories, and enhance daily life, fostering a dynamic relationship between humans and AI.
Challenges and Considerations in Building Generative Agents
Building generative agents comes with challenges such as managing issues like hallucination, maintaining privacy and security, and ensuring the quality of the models used. As large language models continue to evolve, it is crucial to find a balance between the potential of AI-powered agents and the risks they might pose. Implementing guardrails, validation testing, and incremental trust-building measures can help address these concerns. The goal is to create agents that provide meaningful assistance, improve productivity, and enhance human experiences while ensuring user control, privacy, and safety.
The Exciting Future of AI Agents
The AI industry is experiencing a transformative period that holds promise for revolutionizing various aspects of human life. The potential applications of AI agents are vast and diverse, ranging from personalized assistants that enhance daily routines to educational tools that accelerate learning. Incorporating multimodal capabilities, combining image recognition with language processing, holds exciting prospects for future AI development. Smaller, on-device models are also emerging, enabling faster processing and offline applications. The ongoing journey towards AI advancements calls for both cautiousness and optimism, encouraging collaboration between humans and AI to tackle significant challenges and leverage the full potential of intelligent technology.
The superheated large language model (LLM) revolution is only accelerating as they are incorporated into #agents - systems that take independent action. Here to help us understand the state of that art is Michael Sharpe, CEO of Magick ML, a development environment that gives people a way of creating agents based upon generative #AI. Equally fascinating is Michael's previous job at Latitude, working on the virally popular on-line fantasy adventure game of Dungeon AI, a role-playing simulation where the story was made up by an #LLM on the fly, and we talk about that too.
All this plus our usual look at today's AI headlines.