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Large Language Models (LLMs) have created a lot of buzz in recent years. More often, conversations around LLMs are about its greatness, but sometimes it also delves into how it could possibly harm humans. Some of these apprehensions are not unwarranted, given the rapid influx of biased, harmful or outright fake content floating in the digital universe. With these scenarios in mind, the organizations need to be vigilant to reap the benefits of LLMs by keeping the threats at bay. Our whitepaper outlines a pathway for the organizations to optimally use LLMs and guides on implementing checks-and-balances necessary for responsible usage of LLMs.
Our paper provides pathways to solution for a plethora of questions that the industry is hard-pressed to find out:
- What are the various types of risks associated with the enterprise-level implementation of LLMs? How to assess these risks prior to the implementation?
- How to design strategies of implementing LLMs based on various factors viz. enterprise readiness, coverage of various types of use cases, and associated risks?
- What are the key dimensions of the responsible principles in AI? How to evaluate LLM implementation through the lenses of measurement-based approaches around measurement criterion of those dimensions?
- How to achieve quality implementation of LLMs? Are there any recommended strategies?
- How does the proposed framework for responsible design help in mitigating risks and ensuring equitable outcomes?
To kickstart your LLM utilization journey download the whitepaper from here.
