Unlocking AI Potential: Building Reasoning Agents with Agno Library
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In this riveting episode, the 1littlecoder team delves into the fascinating realm of building reasoning agents using the Agno library. They unveil two jaw-dropping examples that showcase the sheer power of these agents. The first mind-blowing demonstration involves crafting a compelling short story set 5 million years into the future. By harnessing a 1.5 billion parameter model, the team illustrates how reasoning can elevate storytelling to unprecedented heights. Through a strategic breakdown of the task, including interdisciplinary research and philosophical reflection, the model astoundingly crafts a captivating narrative. The simplicity of the code belies the complexity of the agent's cognitive prowess, making it accessible for all aspiring tech enthusiasts.
Transitioning seamlessly to the second example, the team shifts gears to explore a coding scenario using a mammoth 6.7 billion parameter model. This time, the focus is on elucidating a seemingly mundane list comprehension code, revealing the model's innate ability to decipher logic and provide insightful explanations. By effortlessly handling the task at hand, the model showcases its versatility and adaptability, underscoring the vast potential of the Agno framework. A switch to a smaller model for comparison highlights the framework's flexibility and the myriad tools available for experimentation. The team's eagerness to delve deeper into this cutting-edge technology sets the stage for future explorations and promises an exciting journey ahead for both creators and enthusiasts alike.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch Agents that can Think?! 💥 Build powerful Local AI Agents!💥 on Youtube
Viewer Reactions for Agents that can Think?! 💥 Build powerful Local AI Agents!💥
Suggestion to use Aider as a tool for the agent
Discussion on reasoning_model parameter in the code base
Question about using reasoning for finetuning with unsloth's notebooks for GPRO
Positive feedback on customizing Agno's modular python code
Inquiry on connecting the tool to other tools or an API
Previous user's experience with PHIDATA and questioning if it now allows connection to the REST API
Clarification on AI's capabilities and the importance of using accurate terminology to understand its limitations.
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