-
Building a Self-Improving AI Support Agent with Langfuse
by Riya Bansal on February 20, 2026 at 3:54 pm
Building an LLM prototype is quick. A few lines of Python, a prompt, and it works. But Production is a different game altogether. You start seeing vague answers, hallucinations, latency spikes, and strange failures where the model clearly “knows” something but still gets it wrong. Since everything runs on probabilities, debugging becomes tricky. Why did […] The post Building a Self-Improving AI Support Agent with Langfuse appeared first on Analytics Vidhya. […]
-
Gemini 3.1 Pro: A Hands-On Test of Google’s Newest AI
by Vasu Deo Sankrityayan on February 19, 2026 at 11:41 pm
Just 3 months after the release of their state-of-the-art model Gemini 3 Pro, Google DeepMind is here with its latest iteration: Gemini 3.1 Pro. A radical upgrade in terms of capabilities and safety, Gemini 3.1 Pro model strives to be accessible and operable by all. Regardless of your preference, platform, purchasing power, the model has […] The post Gemini 3.1 Pro: A Hands-On Test of Google’s Newest AI appeared first on Analytics Vidhya. […]
-
DBMS Data Models Explained: Types, Abstraction Levels, and SQL Examples
by Vipin Vashisth on February 19, 2026 at 2:57 pm
Modern applications rely on structured storage systems that can scale, stay reliable, and keep data consistent. At the heart of all of it sits the data model. It defines how information is organized, stored, and retrieved. Get the model wrong and performance suffers, integrity breaks down, and future changes become painful. Get it right and […] The post DBMS Data Models Explained: Types, Abstraction Levels, and SQL Examples appeared first on Analytics Vidhya. […]
