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Mastering Multi-Agents: Tools, Models, and Coordination

Mastering Multi-Agents: Tools, Models, and Coordination
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In this riveting episode from Sam Witteveen, the team delves into the intricate world of building multi-agents, a topic as complex as navigating a treacherous mountain pass in a high-performance car. With a focus on tools like Alama, Claude, Gemini, Gradio, and OpenAI, they embark on a journey to showcase the capabilities of small agents with different models, akin to pushing a finely-tuned engine to its limits. The importance of setting up a huggingface token in the environment variables is emphasized, much like ensuring a supercar has the right fuel to unleash its full potential on the track.

As they experiment with various models such as Quen, Gemini, and GPT 40 mini, the team experiences a rollercoaster of results when testing code agents and tool calling agents. Just like a seasoned driver tackling unpredictable terrain, they navigate through the challenges posed by different model sizes, with proprietary models like Claude and Gemini Flash emerging as champions in handling code agents. The integration of Gradio UI adds a touch of finesse to their work, enabling them to effortlessly create text-to-image tools using models like Quen 2.5 Coda, akin to seamlessly shifting gears in a high-performance vehicle.

Transitioning towards the creation of tools for multi-agent systems, the team meticulously defines agents and managed agents, showcasing the intricate dance required to ensure seamless collaboration among these digital entities. The demonstration of a multi-agent setup using GPT 40 mini is akin to orchestrating a symphony, with agents working in harmony to tackle complex tasks like multi-hop queries with the precision of a skilled conductor leading a world-class orchestra. The advanced example featuring multiple agents, specifically a research agent and a managed research agent tailored for a blog writing scenario, highlights the versatility and power of multi-agent systems in conquering diverse challenges with the finesse of a high-performance vehicle dominating the racetrack.

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Image copyright Youtube

mastering-multi-agents-tools-models-and-coordination

Image copyright Youtube

mastering-multi-agents-tools-models-and-coordination

Image copyright Youtube

mastering-multi-agents-tools-models-and-coordination

Image copyright Youtube

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