Sponsored by:

Mouser Electronics logo.

Generative AI from Historical Perspective

Loading Events

Generative AI models (GenAIs) have been making headline news because of their wide variety of applications. Some of these applications include query responses, language translation, text to images and videos, composing stories, essays, creating arts and music, generating programs, etc. It will be noted that the large-scale applications of GenAI and their successes are now possible due to exponential advances in hardware (computational power, storage capacity), cloud computing and related operational layers of software. Because of GenAIs rapid growth and business potential, these models are receiving both praise and criticism for their far-reaching implications. Such as untrusted code generation, hallucinations/misinformation, perpetuating harmful biases, infringing copyrights, containing security vulnerabilities, etc. This talk will provide an historical background of Generative AI techniques and how these have been evolved over the years. There are two major types of Generative AIs: Neural Network-Based LLMs and the Specialized GenAI-Models, while NN-Based LLMs are currently dominant in practice. It is expected that Artificial General Intelligent (AGI) models with integration of other AI models will provide flexibility, robustness, and context-aware responses. This talk will highlight the benefits of Generative AI technologies and their limitations/challenges in order to use them responsibly and ethically. Co-sponsored by: JNTUH UCESTH Speaker(s): Prof. Depankar, , Seminar hall, Dept of CSE, JNTUH, Hyderabad , Andhra Pradesh, India

Share This Story, Choose Your Platform!

Go to Top