agno is a powerful Python library for building, managing, and orchestrating autonomous AI agents. Whether you want to create a standalone agent or a team of collaborating agents to solve complex problems, `agno` provides modular and extensible tools to realize your ideas.
Introduces how to use Python and the Pillow library to batch compress images, add watermarks, and convert them to efficient WebP format to optimize website image resources.
In-depth analysis of 5 PEFT techniques for large model fine-tuning, including LoRA, LoRA-FA, VeRA, Delta-LoRA, and LoRA+. Learn the principles, characteristics, and application scenarios to choose the best fine-tuning solution for your needs.
[email protected]12/6/25...About 3 minAI KnowledgePEFTLoRAparameter-efficient fine-tuningLLM fine-tuninglarge model fine-tuninglow-rank decompositionLoRA-FAVeRADelta-LoRALoRA+
In the wave of artificial intelligence, large language models (LLMs) have already demonstrated their powerful capabilities. However, a single LLM invocation often struggles to accomplish complex tasks that require planning, information retrieval, and deep analysis. This is where the concepts of Agent and Workflow come into play.