With the democratization of AI models, LLMs become faster and more energy-efficient. The feasibility of multi-agent solutions increases and consequently a broader range of use cases will benefit from multi-agent applications. Read Cognizant AI CTO Babak Hodjat’s POV on how multi-agent systems can abound in a post-DeepSeek world!
In the wake of DeepSeek, the tech industry has been buzzing with excitement and curiosity. While it's undeniably a significant advancement, it's essential to view it in the broader context of AI's evolution. DeepSeek isn't the watershed moment it's hyped up to be, but rather an important industry correction that accelerates AI innovation and adoption. This shift allows for more accessible and cost-effective AI models, paving the way for enterprises to be able to embrace multi-agent systems that can revolutionize various sectors. From call centers to insurance underwriting, the potential applications of these optimized models are vast. I wrote about this perspective in a recent Cognizant Insights blog – I encourage you to read it and let me know what you think: https://lnkd.in/g6ZMCHtp