generativeai

2023 saw the extraordinary rise of generative AI – most notably ChatGPT. Going into 2024, major tech players are developing their own large language models (LLMs) and platforms, and more and more businesses (perhaps your competition?) see the potential in Gen AI and are experimenting with use cases throughout their organizations. 

 

Where do you stand on Gen AI? Take our short quiz and let’s get a benchmark on where your organization is in your Gen AI journey, and how we may be able to help you with what’s next. 

 

Start here – Gen AI Visionary Quiz: Unveiling Your Business’s Potential 

Digital Transformation With Generative AI And Semantic Models

LLMs have catapulted language understanding by overcoming the limitations of NLP/ NLU techniques using pre-trained models. 

This article was written by Prolifics Offshore Head of Engineering, Ajay Malgaonkar, and first published in CIO and Leader.

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10 min. read

This blog explores the potential of generative AI, focusing on the Retrieval-Augmented Generation (RAG) technique for tasks like question-answering and summarization. A practical scenario illustrates how generative AI aids troubleshooting in industries, streamlining issue resolution. This blog advises enterprises on building Gen AI platforms to overcome adoption challenges, emphasizing the importance of semantic models for a unified analytics platform. 

Learn more about Prolifics Generative AI.