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Llama 4
Posted inMachine learning

Llama 4: The Beginning of a New Era in AI Innovation

Meta released its latest breakthrough: Llama 4, a collection of natively multimodal AI models. The Llama 4 family consists of three distinct models designed to serve different use cases and…
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Posted by Asad iqbal April 6, 2025Tags: deep learning, Llama 4, machine learning
Agentic Object Detection
Posted inMachine learning

A Comprehensive Overview of Object Detection

Have you ever thought about how a self-driving car can drive through a busy street or how a security system can spot a danger immediately? In real time? The answer…
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Posted by Asad iqbal April 4, 2025
Ai Agents
Posted inMachine learning

AI Agents: An Overview of Types, Benefits, and Challenges

Let's be real–when most people hear "AI agents," they imagine some sci-fi robot plotting world domination. But the actual story is way more fascinating and, honestly, useful for our everyday…
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Posted by Asad iqbal April 2, 2025
MCP
Posted inMachine learning

What is Model Context Protocol: Everything You Need to Know About the MCP

The integration of artificial intelligence (AI) into various applications has become both a necessity and a challenge. Traditional methods often include custom integrations, resulting in inefficiencies and security issue vulnerabilities.…
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Posted by Asad iqbal March 14, 2025Tags: deep learning, Genai, machine learning, NLP
Synthetic Data in AI
Posted inMachine learning

Generative AI in Creating Synthetic Data

Today, 90% of AI projects fail due to insufficient or biased training data. Yet, acquiring real-world datasets is fraught with challenges like GDPR restricting access to niche applications lacking representative…
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Posted by Asad iqbal February 26, 2025Tags: computer vision, deep learning, Gen AI, machine learning
Agentic Object Detection
Posted inMachine learning

Agentic Object Detection: The Future of Image Recognition

Imagine pointing your camera at a cluttered desk and asking an AI to find "a red notebook with a spiral binding" or "a Logitech MX Master mouse". Or think about…
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Posted by Asad iqbal February 7, 2025Tags: computer vision, deep learning, machine learning
Posted inMachine learning

Vector Quantization in the Age of Generative AI

In today's data-rich environment, managing massive, high-dimensional datasets presents significant challenges, especially with vector embeddings in AI. According to a 2023 report by IDC, the global datasphere is expected to…
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Posted by Asad iqbal February 3, 2025Tags: computer vision, deep learning, machine learning
Zero shot learning (ZSL)
Posted inMachine learning

Zero-Shot Learning: How AI Learns Without Examples

TL;DR Q 1. What is zero-shot learning?Zero-shot learning (ZSL) is a machine learning technique where a model can recognize or classify new “unseen” classes that it never encountered in training.…
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Posted by Asad iqbal February 1, 2025Tags: deep learning, machine learning
Chain-of-Thought Prompting: Enhancing LLM Reasoning
Posted inMachine learning

Chain-of-Thought Prompting: Enhancing LLM Reasoning

Figure 1. Chain-of-Thought (CoT) prompting. Source: Wei et al. (2023) Large Language Models (LLMs) are highly capable of generating text but sometimes struggle with complex reasoning that requires step-by-step thought processes. While…
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Posted by Asad iqbal January 30, 2025Tags: CoT, prompt engineering
Self-Supervised Learning
Posted inMachine learning

CNNs with Self-Supervised Learning: A New Paradigm for Computer Vision

Convolutional Neural Networks (CNNs) are essential for computer vision tasks, including image classification, detection, and segmentation. Traditionally, CNNs depend on supervised learning with large labeled datasets, and they face limitations.…
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Posted by Asad iqbal January 27, 2025Tags: CNNs, computer vision, deep learning, machine learning

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