On this episode of the AI For All Podcast, Deep Dhillon, Founder and Chief Data Scientist at Xyonix, joins Ryan Chacon and Neil Sahota to discuss natural language processing (NLP) in artificial intelligence. They talk about the evolution of NLP, knowledge graphs, search engines, the impact of ChatGPT on content creation, prompt engineering, mind states, computer vision, multimodality, and what insights businesses can extract using NLP and AI technologies. Deep Dhillon has a wealth of expertise on AI, ML, and NLP - all of which he brings to bear as Founder and Chief Data Scientist at Xyonix. Deep helps clients accelerate AI-driven innovation in their products by teaching machines how to read, see, listen, and extract valuable insights from their business data. Xyonix teaches machines how to read your content, see what is in your imagery, watch what is in your videos, and understand what is in your data. With this enhanced ability, your custom-built AI and machine learning models can generate insights and make high-value predictions. More about Xyonix: https://www.xyonix.com (00:00) Intro (00:34) Deep Dhillon and Xyonix (00:51) What is natural language processing (NLP)? (01:54) The evolution of NLP (09:06) Defining terms - NLP, NLU, LLMs (11:50) Knowledge graphs (12:42) Search engines (14:16) ChatGPT and content creation (18:03) Prompt engineering (19:47) Mind states (20:34) Expectations set by ChatGPT (22:31) Computer vision (25:26) Training multiple modalities (28:11) Extracting insights using NLP and AI (32:17) Learn more about Xyonix SUBSCRIBE TO THE CHANNEL: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial