The biggest opportunities in AI: the future of genAI and multi-agents
- Christina
- Mar 31, 2024
- 2 min read
Conference by Steve Nouri (Generative AI) and Luca Zambello (Jurny)
Event date: 2024-03-26
I had the opportunity to join this event by Generative AI where they shared key ideas about AI and LLM models. I think it is important to learn how we can leverage these technologies for data engineering.
Key take away from the presentation:
This interesting event presented a good understanding of how AI multi-agents can be a source of opportunities and disruptions within multiple sectors. Luca enforces the importance of infrastructure combined with AI agent. The discussion highlighted some concerns around security and investments.
What is a genAI Agent infrastructure?
The infrastructure allows an AI agent to communicate and perform actions with other existing agents and IT systems. Actions such as updating data directly inside your proprietary tools or databases are essentials to fully automated your process. In parallel, AI agents and LLM models need to access proprietary data to build relevant business domain knowledge.
What disruptions can we expect?
For people interested in contributing to the field now, it is important to focus on building specific use-cases within an industry. These specific agents will bring the disruption within multiple fields by design. We can identify the following industries: Education, healthcare or Finances. For example, we can have receptionist agents.
What are the key concerns?
At the current moment, there is no direct way to invest for individuals into AI. The stock market doesn't provide accessible assets linked to the field. At the moment, tech companies are the only one directly investing in AI. There is also no visibility regarding the governmental regulations of AI technologies.
How do you secure your AI agents and LLM models?
Does the implementation of such technologies weaken the overall safety of organization?