Building Enterprise AI is a podcast about domain-specific LLMs, fine-tuning, and deploying AI systems in the enterprise. Real experience from practitioners, architects, and technology leaders. No hype. No theory. Just the things that broke and how they fixed them.
Reading the feed…
Alex and Maya break down Abhijeet Patil's hands-on account of building a domain-specific LLM for the enterprise. From the $15 training run to the 77% data duplication gut punch, they unpack why general-purpose models fall short, how a focused 7B parameter model hit 95% accuracy with near-zero hallucinations, and what the real economics of fine-tuning look like. Note: This podcast features AI-generated voices. Alex and Maya are synthetic hosts produced using text-to-speech technology. Content is written by Abhijeet Patil.
Alex and Maya introduce the Brand Visibility Analyzer. When travelers ask AI for hotel recommendations, which brands appear first? This tool scores brand visibility across Perplexity, ChatGPT, Gemini, Claude, and Grok. Live demo, architecture deep-dive, and who this is for. Note: AI-generated voices via ElevenLabs.
Cross-platform agent-to-agent collaboration: the Strategy Hub on AWS Bedrock AgentCore now coordinates with Salesforce AgentForce. Live demo, AgentCore Registry, federated identity. Note: AI-generated voices via ElevenLabs.
A guided walkthrough of the LLM Command Center, one console for building, fine-tuning, evaluating, and operating a domain-specific LLM. The running example is ZenithStays, a fictional reference hotel brand. Note: AI-generated voices via ElevenLabs.
