Analytics Vidhya

LLM Inference Explained: How Models Generate Responses Faster

Janvi Kumari — Fri, 23 Oct 2026 16:53:41 +0000

You type a question into ChatGPT or Claude. For a split second, nothing happens. Then the answer starts flowing, word by word. That brief pause and the steady stream that follows are two very different jobs happening on a GPU. Understanding them is the key to building AI apps that feel instant, serve thousands of […]

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Build AI Employees in Python That Work While You Sleep

Riya Bansal. — Thu, 22 Oct 2026 13:38:55 +0000

It’s Friday, 8 a.m. Your weekly tech newsletter is drafted, fact-checked and waiting for one click of approval. You didn’t write it. You were asleep. Three AI employees did. A researcher found the week’s best links. A writer turned them into a draft. An editor caught the writer inventing a statistic, fixed it, and then […]

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10 Free Open Source Alternatives to Paid Software

Vasu Deo Sankrityayan — Wed, 21 Oct 2026 13:29:37 +0000

Tired of juggling multiple software subscriptions for editing images, managing projects, signing documents, and more? Open-source alternatives offer a refreshing way to get things done without piling up recurring bills. Many provide powerful features, greater flexibility, and more control over your tools. In this article, we explore ten open-source alternatives to popular paid software, starting […]

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A Practical Guide to Harness Engineering: Building the System Around the Model

Janvi Kumari — Mon, 19 Oct 2026 06:18:20 +0000

An AI coding agent can write a function in seconds. But a working feature takes more than generated code. The agent needs to understand the project, find the right files, use tools safely, and check whether its changes work. A model on its own does none of that. It sees only the text it is […]

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Reverse Engineer Anything (REA): Can AI Really Crack Closed Code?

Aayush Tyagi — Sun, 18 Oct 2026 09:14:08 +0000

Every developer hits this wall eventually. A feature behaves in a way you can’t explain, and the code behind it is locked away. No source. No docs. Just a compiled binary or a wall of minified JavaScript. Figuring it out the traditional way means hours in a disassembler, specialist tools like Ghidra or IDA, and […]

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JEV as a Hallucination Filter: Let the LLM Write, Let JEV Check

Harsh Mishra — Fri, 16 Oct 2026 05:58:08 +0000

The majority of hallucination checks begin following the initial writing of an answer by the LLM. We then hold someone up to a second standard of judgment, or we hand over dangerous cases to a person. That works but that is looking at the solution only as one-off. What if the LLM generates five different […]

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How to Use Jev AI: A Hands-On Guide to TypeSafe’s System One Model

Riya Bansal — Thu, 15 Oct 2026 07:14:22 +0000

Most AI models are built to generate text. But not every application needs a long response. Sometimes, you just need an AI model to classify an input, score it, or answer a yes-or-no question. Jev, TypeSafe AI’s System One model, is designed for these tasks. It returns structured answers with confidence scores instead of generating […]

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Gemini 4 Argon Hands-On Review: Capabilities and Performance

Vasu Deo Sankrityayan — Wed, 14 Oct 2026 04:12:50 +0000

Google’s Gemini 4 Argon promises stronger capabilities across creative, analytical, and document-heavy tasks. But how well does it perform in practice? From generating videos and building websites to analyzing data and reconciling conflicting documents, the model offers plenty to explore. In our hands-on tests, Argon delivered useful results but also introduced an unsupported claim in […]

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OpenAI Decisions API Tutorial for Building Decision Agents

Mounish V — Tue, 13 Oct 2026 00:39:00 +0000

Imagine building an AI agent that has to decide whether a customer complaint needs human intervention, which department should handle a query, or whether a submitted delivery photo is valid. Getting these decisions right matters. A false positive can trigger an unnecessary escalation, while a false negative can let a genuine issue slip through. Traditionally, […]

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LLM Batching Explained: Static vs Dynamic vs Continuous Batching

Soumil Jain — Mon, 12 Oct 2026 06:19:14 +0000

Imagine four people booking a ride to the same destination. If each person takes a separate taxi, four vehicles make the same trip. But if they travel together in a bus, everyone reaches the destination in a single trip. The bus carries more people at once and makes better use of the resources. Batching in […]

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