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We are already seeing this potential come to life through our Future Ready Manufacturing solutions.
Here, we are transforming repair and service cycles and predictive maintenance too.
Language models are also transforming supply chain resilience.
TCS finetunes LLMs based on industry expertise.
Our engineers then play a crucial role in monitoring the models performance, providing feedback and making necessary adjustments.
By feeding in intuitive adjustments and tacit knowledge this uplifts the accuracy of the model.
Appropriate guardrails are defined with TCSs agent-based monitoring approach to ensure the responses are continuously monitored.
Are these solutions a real match for humans?
Are these tools designed to be used more for replacement or assistance?
Its core purpose is to transform the daily lives of citizens.
Our solutions are designed to assist humans, not replace them.
This bolstered the productivity of those working rather than replacing them.
In my experience, LLMs tend to produce output that mimics the training data.
For example, TCS is currently building a solution called Mobility AI, part of our TCS Mobility Suite.
Human guidance and oversight are crucial to ensure that AI is used responsibly and ethically.
Do we fire off the risk of losing human expertise if we rely more heavily on AI?
Far from diminishing human expertise, AI can enhance it.
Moreover, AI can provide valuable insights and support, enabling humans to make more informed decisions.
The key is to embrace AI as a tool that empowers humans, rather than a threat.
By working together, humans and AI can achieve remarkable things.
