Basics Theory
AGI is a hypothetical AI system that can understand complex problems and aims to achieve cognitive abilities like humans
Basics Theory
Natural language generation is a type of AI which helps the computer turn data, patterns, or facts into written or spoken words
Basics Theory
Applications
Applications
Basics Theory
Basics Theory
Basics Theory
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How Open-source DeepResearch is reshaping the way AI search agents are built and used, giving individuals and communities control over their digital research tools
Explore how π0 and π0-FAST use vision-language-action models to simplify general robot control, making robots more responsive, adaptable, and easier to work with across various tasks and environments
Gradio's new data frame brings real-time editing, better data type support, and smoother performance to interactive AI demos. See how this structured data component improves user experience and speeds up prototyping
How Krutrim became India’s first billion dollar AI startup by building AI tools that speak Indian languages. Learn how its large language model is reshaping access and inclusion
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A simple and clear explanation of what cognitive computing is, how it mimics human thought processes, and where it’s being used today — from healthcare to finance and customer service
What the Adam optimizer is, how it works, and why it’s the preferred adaptive learning rate optimizer in deep learning. Get a clear breakdown of its mechanics and use cases
Looking for the best podcasts about generative AI? Here are ten shows that explain the tech, explore real-world uses, and keep you informed—whether you're a beginner or deep in the field
Access to data doesn’t guarantee better decisions—culture does. Here’s why building a strong data culture matters and how organizations can start doing it the right way
How the LiveCodeBench leaderboard offers a transparent, contamination-free way to evaluate code LLMs through real-world tasks and reasoning-focused benchmarks
How stochastic in machine learning improves model performance through randomness, optimization, and generalization for real-world applications
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Looking to master SQL concepts in 2025? Explore these 10 carefully selected books designed for all levels, with clear guidance and real-world examples to sharpen your SQL skills
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What data annotation is, why it matters in machine learning, and how it works across tools, types, and formats. A clear look at real-world uses and common challenges
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How One Hot Encoding converts text-based categories into numerical data for machine learning. Understand its role, benefits, and how it handles categorical variables
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How temporal graphs in data science reveal patterns across time. This guide explains how to model, store, and analyze time-based relationships using temporal graphs
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How Voronoi diagrams help with spatial partitioning in fields like geography, data science, and telecommunications. Learn how they divide space by distance and why they're so widely used
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How Monster API simplifies open source model tuning and deployment, offering a faster, more efficient path from training to production without heavy infrastructure work
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How AI-powered earthquake forecasting is improving response times and enhancing seismic preparedness. Learn how machine learning is transforming earthquake prediction technology across the globe
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Explore the Rabbit R1, a groundbreaking AI device that simplifies daily tasks by acting on your behalf. Learn how this AI assistant device changes how we interact with technology
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AI interference lets the machine learning models make conclusions efficiently from the new data they have never seen before
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How LLM evaluation is evolving through the 3C3H approach and the AraGen benchmark. Discover why cultural context and deeper reasoning now matter more than ever in assessing AI language models
