AI Content Fellow
Nithanth is an AI Content Fellow for Deepgram, writing about state-of-the-art artificial intelligence. Recently, he graduated from UT Austin and is about to start graduate school at Carnegie Mellon University, specializing in ML & AI. Outside of work, he spends time playing any sport with a net, receiving noise complaints with his drum set, and taking money from his friends in poker.
Exposing Voice Cloning: How Synthetic Voices Shape Futures
Does Closed-Source AI Perform Better than Open-Source? A Case-Study and Evaluation
Battle of the Models: Open-Source vs. Closed-Source in AI Applications!
How Computing Hardware Drives AI Progress
From Klingon to Simlish: Deepgram's AI Language Detection Adventures
LLM Training: From Data Ingestion to Model Tuning
LLMs: The Rubber Duck Debugger for Creative Work
Augmenting LLMs Beyond Basic Text Completion and Transformation
Crafting AI Commands: The Art of Prompt Engineering
Beyond Chat: What Else Can Large Language Models Do?