The journey so far… Generative AI has made monumental leaps over the last year, with three major waves that the industry followed over time. The first wave was prompting, where contributors figured out specialised prompts for specific use cases, which evolved into the second wave of chaining different prompts to create multimodal flows. The current third wave, the agent wave, focuses on creating LLM-powered agents to perform end-to-end tasks efficiently. What’s next? Companies are intelligent because intelligent personnel work and collaborate based on mutually agreed business logic. Our Angoor Engine represents the same, allowing third-wave Gen AI agents to work and collaborate over a unified platform, handling end-to-end marketing, sales and support for each customer individually. Rules of engagement and collaboration can be adjusted by utilising natural language, allowing you to iteratively configure your automation flows. Validation signals Our process has been validated by leading research groups, especially Microsoft’s AutoGen heavily aligning with our vision, but executing it technically in a wildly different manner. AutoGen Studio: Interactively Explore Multi-Agent Workflows | AutoGen (microsoft.github.io) LLMs like Mistral and ChatGPT 4 are also being segmented into micromodels, with weights and relations defining the assignment of tasks.
