The Rise of Specialized LLMs for Enterprise
In this article, I discuss the main problems of standard LLMs (OpenAI and the likes), and how the new generation of LLMs addresses these issues.… Read More »The Rise of Specialized LLMs for Enterprise
AI Linguistics covers a number of related rubrics, including the AI behind the processing of speech, comprehension of written text (the next stage of optical character recognition), natural language processing, production of synthetic speech, chatbots and smart agents such as Siri or Alexa.
In this article, I discuss the main problems of standard LLMs (OpenAI and the likes), and how the new generation of LLMs addresses these issues.… Read More »The Rise of Specialized LLMs for Enterprise
Nova-3, Deepgram’s most effectual speech-to-text model to date, is equipped with a plethora of capabilities. It supports approximately 10 different languages—even during the same conversation.… Read More »The secret to Deepgram’s speech-to-text model: Synthetic data generation
Interview with Dr. Andrea Isoni – SHOW 16 Intelligent systems are evolving faster than ever, and keeping up with the latest advancements requires expertise, foresight,… Read More »Current state of machine learning and intelligent systems
Most enterprise applications of Artificial Intelligence are predicated on understanding, and generating, natural language in the form of text. Deepgram, an AI platform for generating… Read More »Deepgram builds and hosts ‘Voice AI’ models
As someone who has spent years navigating the exciting and unpredictable currents of innovation, I recently had the privilege of joining Chris Kalaboukis on his show, Think Future.… Read More »A vision for the future of AI: Guest appearance on Think Future 1039
Image by Gerd Altmann from Pixabay In September 2024, Salesforce AI Research EVP and Chief Scientist Silvio Savarese posted at the Salesforce 360 site on… Read More »Large action models and the promise of true agency
What I mean here is that traditional LLMs are trained on tasks irrelevant to what they will do for the user. It’s like training a… Read More »There is no such thing as a Trained LLM
An interview with Amit Sheth, founding director, Artificial Intelligence Institute, University of South Carolina Amit Sheth has survived and thrived through multiple AI winters because… Read More »Scaling knowledge graphs and neurosymbolic AI
Interview with Jeanette Small, MA, PhD In this recent AI Think Tank Podcast episode, we took a close look into the complexities of intelligence, neural… Read More »Deep Reflections on Mycelium, Neural Networks, & AGI
Interview with Egle B. Thomas, PhD, MBA After a nice four week break, the AI Think Tank Podcast is back for its 12 show. I had the… Read More »Global AI Trends In Business and Humanity – Show 12