Post by Corvic AI

Why Enterprise GenAI is hitting a wall. On the latest episode of Techie Talks with Kuldeep, Corvic AI CEO Farshid Sabet broke down why the "Monolithic LLM" approach fails in production. Right now, companies are cramming everything into the context window—raw OCR, SQL data, and Python rules—forcing a probabilistic reasoning engine to act as database infrastructure. The fallout is painfully predictable: 🟣 Runaway Token Costs: Paying premium API rates for heavy data prep that should be done locally for pennies. 🟣 The Determinism Deficit: Forcing a probabilistic model to run exact, repeatable logic, leading to critical hallucinations. 🟣 Severe Vendor Lock-in: When your prompt is your architecture, swapping models means a total rewrite. "LLMs are brilliant analysts, not infrastructure. Stop paying them a token tax to do data plumbing." -Farshid Sabet To scale, enterprise AI requires a decoupled architecture. By shifting data processing and tool orchestration to a dedicated infrastructure layer, the LLM is freed to focus entirely on its actual superpower: synthesis and insight. 🎧 Tune into the full episode here: https://lnkd.in/gFcpfJsa