In this episode of our AI Monetization Podcasts, our co-founder and host interviews renowned industry expert Jalaj Thanaki, Senior Solution Architect(Gen AI) at NVIDIA. Jalaj brings in a wealth of information and provides in-depth insights into the transformation of language models from N-gram to transformer-based architectures. She discusses the impact of language models on various industries and shares her expertise on the implementation of AI solutions, discussing the pros and cons of different approaches. She offers valuable advice on choosing between proprietary and open-source models, highlighting the importance of long-term strategy and transparency. The conversation breaks down the generative AI ecosystem and evolution and covers crucial topics like GPU scaling challenges, security concerns, the future of generative AI adoption, and much more. Tune in to learn how generative AI is reshaping workflows and the key considerations for businesses looking to leverage this technology effectively.
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00:00 Introduction
01:38 Overview of the Generative AI Ecosystem
06:18 Evolution of Language Models
11:23 Manuscript Assessment Usecase
17:05 AI Prompting Before and After LLMs
20:10 Changing Client Needs with LLM Evolution
25:25 Proprietary Vs. Open-source Models
34:00 Smart Fine-Tuning for Custom LLMs
42:40 Security and Privacy in AI Applications
50:25 Future Gen AI Adoption Trends