Generative AI can craft intelligent agents capable of handling diverse tasks, such as data analysis, retrieval, information synthesis, semantic search, and basic problem-solving.
These agents boost productivity in enterprise environments. An agentic framework involves interconnected autonomous agents that continuously prompt, coordinate with the LLM model, and respond to each other until task completion. AI agents only require a high-level goal, autonomously planning and iteratively solving tasks.
The framework manages interactions with the LLM model, leveraging the power of GPT-3.5 and GPT-4 in conjunction with a coordinating agent.
Empower your AI agent with a goal and witness its independent thinking, planning, and execution of tasks. It autonomously performs defined roles and objectives, using tools like programming and searching as needed. The swarm intelligence concept, introduced by Beni and Wang (1993), models populations of self-organizing agents interacting to solve problems within computational intelligence.
With the impending AI regulation, understanding an enterprise’s AI risk profile and diligently implementing necessary measures to manage and mitigate risks is an essential aspect of due care. In the context of the EU AI Act, due care is defined as the diligence and attentiveness exercised in implementing reasonable steps to ensure the safety and reliability of AI applications, addressing potential risks adequately.