Nov. 20, 2023, 12:30 p.m. | Ksenia Se


In this guest post, Jimmy Whitaker, Data Scientist in Residence at Human Signal, focuses on guiding users in building an agent using the Adala framework. He dives into the integration of Large Language Model-based agents for automating data pipelines, particularly for tasks like data labeling. The article details the process of setting up an environment, implementing an agent, and the iterative learning approach that enhances the agent's efficiency in data categorization. This approach combines human expertise with AI scalability, making …

adala adala framework agent agents article building data data labeling data pipelines data scientist framework guest post human human signal integration labeling language language model large language large language model pipelines process signal tasks

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