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While scrolling through your YouTube feed, you might have come to a realization. It’s almost impossible to figure out AI-generated content from humane content. And this problem isn’t limited to YouTube, but has plagued content throughout the internet. With releases like Nano banana, ChatGPT and Qwen pushing the boundaries for what was possible before, it […]
Imagine a chatbot makes a joke, and the user gives it a negative feedback. The same agent is far funnier on the said topic a week later. This is what we mean by agent’s live adaptation. Most chat agents as of now are static programs in nature. They don’t really learn from user feedback during
Create an Agent that can Learn from Interactions using AutoGen Read More »
Relying on a single source for critical information poses risks. This truth applies to large language models as well. You might receive a biased answer or a hallucination. The LLM Council solves this by gathering diverse opinions. It uses a multi-model AI approach to improve accuracy. This tool mimics a human board meeting. It forces
LLM Council: Andrej Karpathy’s AI for Reliable Answers Read More »
The creation and deployment of applications that utilize Large Language Models (LLMs) comes with their own set of problems. LLMs have non-deterministic nature, can generate plausible but false information and tracing their actions in convoluted sequences can be very troublesome. In this guide, we’ll see how Langfuse comes up as an essential instrument for solving these problems, by offering a strong foundation for
NeurIPS dropped its list of the best research papers for the year 2025, and the list does more than name-drop impressive work. It provides a map for navigating the problems the field now cares about. This article would shed some light to what those papers are, and how they were able to contribute to AI.
Imagine an AI that doesn’t just answer your questions, but thinks ahead, breaks tasks down, creates its own TODOs, and even spawns sub-agents to get the work done. That’s the promise of Deep Agents. AI Agents already take the capabilities of LLMs a notch higher, and today we’ll look at Deep Agents to see how
Deep Agents Tutorial: Create Advanced AI Agents with LangGraph and Web Search Tools Read More »
If you’ve been following the AI space lately, you’ve probably noticed something big: people don’t just care what an AI answers anymore, they care how it reaches that answer. And that’s exactly where DeepSeek Math V2 steps in. It’s an open-source model built specifically for real mathematical reasoning. In this guide, I’ll walk you through what DeepSeek Math V2
DeepSeek Math V2 Guide: Smarter AI for Real Math Read More »
If you’ve been watching the open-source LLM space, you already know it has turned into a full-blown race. Every few months, a new model comes out claiming to push the boundary and some genuinely do. Chinese labs especially have been moving fast, with models like GLM 4.6, Kimi K2 Thinking, Qwen 3 Next, ERNIE-4.5-VL and
Is DeepSeek’s V3.2 the Most Powerful Open-source LLM? Read More »
