On June 3, 2026, Google introduced Gemma 4 12B Unified, an open-source multimodal model designed to understand text, images, audio, and video within a single architecture. It combines a 256K context window with an efficient, laptop-friendly design aimed at agentic workflows and local deployment. The release also raises interesting questions about Google’s broader AI strategy, The post Google Gemma 4 12B: Architecture, Benchmarks, Access, and Hands-on Guide for Developers  appeared first on Analytics Vidhya.

A few years ago, choosing an AI model was relatively simple. You probably didn’t even know the term AI model as ChatGPT was used synonymously with it. It was the obvious (and maybe the only) choice at the time.  But times have changed. ChatGPT is no longer the one-stop for AI models. Claude, Grok, Gemini, The post How to Choose the Right AI Model for Your Needs appeared first on Analytics Vidhya.

Your AI agent works great in testing. Then you ship it, and something kinda breaks. A tool called loops forever, like it never learns. A retrieval step returns garbage and costs spike. You have no idea why, at all. That’s the agent observability problem. And if you’re building with LLMs, you need to solve it The post Agent Observability with LangSmith, Langfuse, and Arize: A Hands-On Comparison  appeared first on Analytics Vidhya.

If you’ve ever tried to ship an AI agent into production, you know the hard part usually isn’t the model. It’s everything around it: sandboxing, state management, credential handling, tool execution, error recovery, and all the infrastructure that turns a prototype into something reliable. Anthropic’s Claude Managed agents make that easier by giving you a The post How to Use Claude Managed Agents? appeared first on Analytics Vidhya.

Google has made the Gemini ecosystem confusing as hell. You have the Gemini App, which looks like a normal AI chatbot. Then you have Google AI Studio, which also looks like… a chatbot! But on steroids. So the obvious question is: why do both of these coexist? Here’s the clean answer: Gemini App is for The post Google AI Studio vs Gemini App: What’s the Difference? appeared first on Analytics Vidhya.

Sales teams spend hours every day on tasks that should never see a human. Research a prospect, score them against their fit, and put it all into a CRM. These are repeatable, rule based processes AI workflows driven by multi-agent systems can do all three, with speed and consistency that no human team can match.  The post AI Workflows for Sales Teams: Prospect Research, Lead Qualification, and CRM Updates on Autopilot Using LangGraph   appeared first on Analytics Vidhya.

The strongest AI voices are not just people with impressive job titles. They are researchers pushing the technical boundaries of AI. Founders building AI communities. Practitioners turning models into products. Even leaders, helping businesses understand what this technology can actually do. This becomes even more important when we look at India’s growing role in the The post 25 Most Influential AI Pioneers to Meet at DataHack Summit 2026 appeared first on Analytics Vidhya.

The AI industry has matured to the point where raw intelligence is no longer the only thing that matters. A year ago, every model release was a race to publish bigger benchmark numbers. More parameters, features and everything in between.   Today, the conversation is shifting. Developers care about reliability. Enterprises care about cost, scalability, and The post Claude Opus 4.8: A Smarter Model in the Right Direction appeared first on Analytics Vidhya.