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How to train LLMs to reason with notebooks 01
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EmbeddingGemma Model Google’s Pocket-Sized Powerhouse for Multilingual AI
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The Core of RAG Systems: Embedding Models, Chunking, Vector Databases
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Agentic Architecture and AI Agents in Enterprise
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How to train LLMs to reason with notebooks

How to train LLMs to reason with notebooks

Abstract Recent advancements in large language models (LLMs) have opened the door to agentic systems capable of solving complex, open-ended tasks. Among such systems, Jupyter Agent represents a novel direction by integrating LLMs with code execution inside Jupyter Notebooks, thereby transforming them into autonomous data science agents. While large models show promising results in data…

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EMBEDDINGgEMMA

EmbeddingGemma Model Google’s Pocket-Sized Powerhouse for Multilingual AI

The world of AI is often obsessed with scale: bigger models, more parameters, and massive computational demands. But what if the key to unlocking next-generation applications isn’t more power, but smarter, more efficient models? Google’s latest release, EmbeddingGemma, proves exactly that. Announced on September 4, 2025, EmbeddingGemma is a state-of-the-art multilingual embedding model designed from the…

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Apple iPhone 17 Launch – Everything You Need to Know

Apple iPhone 17 Launch – Everything You Need to Know

Introduction: The Next Chapter in iPhone Innovation The iPhone 17 series represents Apple’s latest endeavor to push the boundaries of smartphone technology while refining the user experience that has captivated millions worldwide. With the September 2025 announcement, Apple has once again raised the bar with innovative features and significant improvements across its entire lineup, including the standard iPhone 17, the premium…

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Monolithic vs Microservices Architecture

Monolithic vs Microservices Architecture: Key Differences, Pros & Cons (2025 Guide)

When building modern applications, one of the biggest decisions developers face is how to structure their software. Should you keep everything under a single, unified codebase (monolithic architecture) or break the application into smaller, independent services (microservices architecture)? The choice affects scalability, team collaboration, deployment strategy, and even the future growth of your business. There’s…

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KNCMAP AI The Core of RAG Systems

The Core of RAG Systems: Embedding Models, Chunking, Vector Databases

In the age of large language models (LLMs), Retrieval-Augmented Generation (RAG) has emerged as one of the most powerful approaches for building intelligent applications. Whether you’re creating a chatbot, a document assistant, or an enterprise knowledge engine, three pillars make RAG work: embedding models, chunking, and vector databases. This article breaks down what they are,…

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Agentic Architecture and AI Agents in Enterprise

Agentic Architecture and AI Agents in Enterprise

For the past year, the business world has been captivated by Generative AI. Tools like ChatGPT have become synonymous with AI itself, dazzling us with their ability to draft emails, summarize documents, and generate creative content. But for enterprises, a critical limitation has emerged: these models are brilliant conversationalists, but they are passive. They answer…

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PROMPT INJECTION

What Is a Prompt Injection Attack?

A prompt injection attack is a GenAI security threat where an attacker deliberately crafts and inputs deceptive text into a large language model (LLM) to manipulate its outputs. This type of attack exploits the model’s response generation process to achieve unauthorized actions, such as extracting confidential information, injecting false content, or disrupting the model’s intended…

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