Category: ReAct
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From Static Scripts to Smart Agents: A New Era in Financial Analysis

Static financial scripts create bottlenecks that can’t keep pace with the market. This post demonstrates a more powerful approach: building an AI agent that understands natural language. It details a method to transform rigid code into a dynamic analytical engine that generates practical, interactive dashboards from simple, conversational commands.
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From Monolithic Models to AI Agents: A New Era of Generative AI

Large Language Models (LLMs) exhibit impressive capabilities but are susceptible to hallucinations. To address this issue, agentic AI emerges as a potential solution. The shift from monolithic models to compound AI systems, along with the rise of AI agents, represents significant progress in generative AI and problem-solving capacity. In this post, we will share key…
