Nithanth Ram
AI Content FellowNithanth 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.
AI & Engineering
Does Closed-Source AI Perform Better than Open-Source? A Case-Study and Evaluation
Nithanth Ram
Jan 12, 2024
AI & Engineering
Battle of the Models: Open-Source vs. Closed-Source in AI Applications!Nithanth Ram
Jan 9, 2024
AI & Engineering
How Computing Hardware Drives AI ProgressNithanth Ram
Sep 13, 2023
AI & Engineering
From Klingon to Simlish: Deepgram's AI Language Detection AdventuresNithanth Ram
Aug 16, 2023
AI & Engineering
LLM Training: From Data Ingestion to Model TuningNithanth Ram
Jul 24, 2023
AI & Engineering
LLMs: The Rubber Duck Debugger for Creative WorkNithanth Ram
May 9, 2023
AI & Engineering
Augmenting LLMs Beyond Basic Text Completion and TransformationNithanth Ram
May 3, 2023
AI & Engineering
Crafting AI Commands: The Art of Prompt EngineeringNithanth Ram
Mar 22, 2023
AI & Engineering
Beyond Chat: What Else Can Large Language Models Do?Nithanth Ram
Feb 1, 2023