Sawhney suggests that retrieval-augmented-generation (RAG) and tooling or agents can help address these challenges. He also highlights the potential of multi-agent workflows, which involve breaking down complex tasks into smaller steps and assigning each to a specific agent. This approach could revolutionise the way we work, allowing us to tackle more complex challenges with minimal human supervision. It could also enable the simulation of team reactions to events in a sandbox environment, with each team member modelled as an agent in the workflow.
Key takeaways:
- In 2024, enterprise software companies are heavily investing in generative AI (GenAI) to enhance productivity, with OpenAI's GPT-4o leading the charge with its ability to interpret and generate voice and vision.
- GenAI has the potential to significantly boost labour productivity, with estimates suggesting it could add $4.4 trillion to global GDP.
- Challenges in incorporating GenAI into workplace technology include managing trust issues and dealing with the technology's current limitations in performing basic to intermediate maths.
- The concept of multi-agent workflows is introduced as a solution to these challenges, allowing for the imitation of entire knowledge teams and potentially revolutionising the way we work.