Analytics Vidhya

Why Enterprise LLMs Fail Before They Calculate, and What Context Engineering Changes

Mayank Chaturvedi — Tue, 10 Nov 2026 07:54:29 +0000

When an enterprise AI system gives an unreliable answer, the usual diagnosis is that the model was not good enough. The usual remedies follow: a stronger model, a longer prompt, more retrieved documents or a larger context window. Each can help. None addresses a failure that is both more common and harder to detect in […]

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GPT Image 2.6: The Best Image Generation Model Just Got an Upgrade!

Vasu Deo Sankrityayan — Thu, 05 Nov 2026 12:28:27 +0000

What if you could turn a rough sketch into a polished design, edit an image with a few annotations, or create an animated GIF from a single prompt? OpenAI’s new Images 2.6 promises exactly that, bringing new creative possibilities to ChatGPT, Codex, and the API. But how well does it handle the details that separate […]

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7 Best AI Agent Collaboration Platforms in 2026

Vasu Deo Sankrityayan — Wed, 04 Nov 2026 12:24:18 +0000

Building an AI agent is one thing. Making it available to an entire team is another. Shared access, permissions, integrations, and reusable workflows determine whether an agent becomes a reliable team resource or another setup everyone must recreate. Platforms approach this differently. Some share a single assistant, others coordinate multiple agents, while some distribute independent […]

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Top 5 Local AI Models and How to Get Them

Vasu Deo Sankrityayan — Tue, 03 Nov 2026 12:06:15 +0000

Proprietary models are amazing! But sometimes what is of importance is configurability rather than raw power. This has led to the emergence of locally hosted models. Running AI locally gives users more control over their setup. With suitable hardware and tools like Ollama and LM Studio, capable models can run entirely on-device. But which models are worth running, […]

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GELU Activation Function Explained: How It Works and Why Transformers Use It

Janvi Kumari — Sat, 31 Oct 2026 00:46:50 +0000

Why do Transformer models like BERT use GELU instead of the traditional ReLU activation function? The answer lies in how these functions process information. While ReLU completely removes negative inputs, GELU uses a smooth, input-dependent mechanism to decide how much information should pass through. This small mathematical difference can influence how neural networks learn complex […]

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Harness²: Improving AI Agent Performance Without Model Upgrades

Sree Vamsi — Fri, 30 Oct 2026 11:55:24 +0000

When an AI agent fails to complete a task, upgrading the model can seem like the obvious next step. Yet an agent’s performance also depends on how it receives instructions, uses tools, and manages its work. Understanding those factors can reveal opportunities to improve reliability with the model already in place. Google Research’s Harness² examines […]

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FDE vs AI Engineer: Roles, Skills, and Career Paths Explained

Vasu Deo Sankrityayan — Thu, 29 Oct 2026 12:09:54 +0000

Python, APIs, cloud deployment. You’ll find these skills in both forward deployed engineer and AI engineer job descriptions. Yet the two jobs can lead to very different working days. An FDE might spend the morning tracing a customer’s approval process before writing an integration. A product AI engineer might spend it investigating why the same […]

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Kimi K3 Architecture Explained: How a 2.8T Model Runs Efficiently

Shaik Hamzah — Thu, 29 Oct 2026 04:42:29 +0000

I started writing this blog when Kimi K3 was still Moonshot’s flagship. Then, on 24th October 2026, Kimi K3.1 Pro dropped, right in the middle of my writing, hehe. The good news: K3.1 Pro is built on the same K3 base model with much more post-training on top, so everything we study here still applies. […]

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GPT-6.1 Terra: An Economical Model with Flagship Performance

Vasu Deo Sankrityayan — Tue, 27 Oct 2026 13:19:18 +0000

GPT-6.1 Terra is designed for coding and practical work, but how well does it handle tasks beyond writing code? From spreadsheets and presentations to calendar files, these jobs require more than a convincing response. The output needs to be accurate, editable, and useful after the conversation ends. I tested GPT-6.1 Terra on five tasks: analyzing […]

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GPT-6 Astra vs Gemini 4 Argon vs Claude Opus 5.5: Full Comparsion

Vasu Deo Sankrityayan — Mon, 26 Oct 2026 09:52:42 +0000

GPT-6 Astra, Gemini 4 Argon, and Claude Opus 5.5 are three powerful AI models, but which one performs better when given actual work? To find out, we put them through four practical tasks involving project reporting, data analysis, product wireframing, and go-to-market strategy. Rather than relying on benchmark scores, we tested how accurately each model […]

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