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How AI is turning all developers into 10x developers!
Have you ever wished you could build an app in minutes? Like, just tell an AI what you want, grab a coffee, and boom—your app is ready? Well, guess what? That’s actually (almost) possible now. But before you start thinking AI will replace developers, let’s talk about why that’s not happening anytime soon and why…
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Microsoft’s Majorana 1 chip and the GenAI revolution
In the world of generative AI, it feels like things are changing every single week. Just when you think you’ve caught up, a new breakthrough comes along—and this time, it’s from Microsoft. They’ve just unveiled Majorana 1, their first quantum computing chip built on a cutting-edge topological core architecture. While the tech behind it is…
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Understanding Agentic AI: The Next Evolution in Artificial Intelligence
Artificial Intelligence (AI) has traditionally been viewed as a set of models that process data and generate outputs based on predefined rules or learning patterns. However, a new paradigm called Agentic AI is emerging, focusing on autonomy, decision-making, and goal-directed behavior. There is an increasing buzz around Agentic AI, and more and more solutions of…
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DeepSeek R1: The Model That Shook the AI World
The artificial intelligence landscape has long been dominated by a few key players. Companies like OpenAI, Google DeepMind, and Anthropic set the pace for innovation, building powerful AI models that required billions of dollars and massive computational resources. However, this dominance was recently challenged in an unexpected way. The emergence of DeepSeek R1, an open-source…
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Using RAG to create an AI expert about your Company
Have you ever thought, “I’ve answered this question so many times!” or “This information is available online—why are they asking me?” If not, congratulations—you’re one of the lucky ones! But for most of us, these thoughts have crossed our minds at some point. Wouldn’t it be great if there were a tool to handle these…
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Empowering Autonomous Task Execution with AI Agents
The field of artificial intelligence is advancing rapidly, and one of the most exciting developments is the emergence of autonomous AI agents. These agents are designed to follow ambiguous goals, interpreting user instructions without needing precise step-by-step directions. They build their own plans, execute tasks, and learn from interactions to achieve desired outcomes. In this…
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Hands-On Tutorial: Using AI Agents to abstract Complex APIs
Leveraging LangChain’s OpenAPI Toolkit enables us to build AI agents that can abstract the complexities of interacting with large APIs. By separating high-level planning from low-level execution, agents can navigate extensive API specifications more efficiently, minimizing token usage and improving the coherence of long interaction sequences. In this hands-on tutorial, I’ll demonstrate how to create…
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Fine-Tuning Techniques: Full Fine-Tuning vs. LoRA, and ReFT
Fine-tuning is a critical step in adapting pre-trained models to specific tasks. In this article, I’ll compare full fine-tuning with advanced techniques such as LoRA and ReFT. I’ll highlight the differences in methodology, efficiency, and performance to help you choose the best approach for your projects. 1. Full Fine-Tuning Full fine-tuning involves updating all model…
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Hands-on Tutorial: Using Hugging Face to quickly Develop and Test ideas
In the rapidly evolving landscape of artificial intelligence and machine learning, the ability to swiftly prototype and test ideas is a crucial asset for researchers, developers, and data scientists alike. Hugging Face, a leading provider of cutting-edge natural language processing tools and models, has become an essential platform for accelerating innovation in AI development. With…
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Hands-on Tutorial: Fine-Tuning a Pre-trained Model
Fine-tuning a pre-trained model is a powerful technique that allows you to adapt a model to specific tasks with minimal additional training. Whether you’re working on sentiment analysis, question-answering, or text generation, the process of fine-tuning can significantly enhance performance tailored to your dataset. In this tutorial, you will learn how to: In this tutorial,…
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Understanding Fine-Tuning and Its Importance
Have you ever wondered how those intelligent chatbots and virtual assistants seem to understand exactly what you’re asking? A lot of that magic comes from a process called fine-tuning, and today, we’re going to explore what that means and why it’s so important. 1. The importance of Fine-Tuning Imagine you’ve got a massive library filled…
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Transformer Architecture: A Game Changer!
The introduction of the transformer architecture has been one of the most revolutionary developments in the rapidly evolving field of artificial intelligence. The transformer paradigm, first presented by Vaswani et al. in their groundbreaking publication “Attention is All You Need” in 2017, has completely changed natural language processing and more. An important turning point in…
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Deep Neural Networks: A Deep Dive
In the ever-evolving field of artificial intelligence, deep neural networks (DNNs) have become a cornerstone technology. From image recognition to voice recognition, it is essential for creating advanced AI. One of their most outstanding applications is large language models (LLMs) such as GPT or BERT, that rely on highly sophisticated neural network architectures for processing…
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Understanding AI, Machine Learning, and Deep Learning
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are often treated as synonymous terms and cause lack of clarity to both enthusiasts and beginners. Though all these fit under Artificial Intelligence as a larger term, each of them has a different role as a concept within the field. This post gives clear distinctions…