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Home » Archive for  Artificial Intelligence

Category: Artificial Intelligence

Hybrid Models (Neuro-Symbolic AI, AutoML) Explained

Posted on November 27, 2025 by uplatzblog

Hybrid Models (Neuro-Symbolic AI, AutoML): The Future of Explainable and Automated Intelligence Artificial Intelligence has evolved through many stages. First came rule-based systems. Then came machine learning. After that, deep Read More …

Posted in Artificial Intelligence

Reinforcement Learning (DQN, PPO, AlphaZero) Explained

Posted on November 27, 2025 by uplatzblog

Reinforcement Learning (DQN, PPO, AlphaZero): How AI Learns Through Reward and Experience Most machine learning models learn from data that already exists. Reinforcement Learning (RL) is different. It allows AI Read More …

Posted in Artificial Intelligence

Diffusion Models (Stable Diffusion, DALL·E) Explained

Posted on November 27, 2025 by uplatzblog

Diffusion Models (Stable Diffusion, DALL·E): The Engines Behind AI Image Generation AI can now create stunning images from simple text prompts. From art and design to marketing and education, image-generating Read More …

Posted in Artificial Intelligence

Multimodal Models (GPT-4V, Gemini, LLaVA) Explained

Posted on November 27, 2025 by uplatzblog

Multimodal Models (GPT-4V, Gemini, LLaVA): The Future of AI That Sees, Reads, and Understands Artificial Intelligence no longer understands only text. Today’s most powerful AI systems can see images, read Read More …

Posted in Artificial Intelligence

RAG (Retrieval-Augmented Generation) Explained

Posted on November 27, 2025 by uplatzblog

RAG (Retrieval-Augmented Generation): The Backbone of Accurate Enterprise AI Large Language Models are powerful. They write well. They reason fast. But they also hallucinate. This is a serious problem in Read More …

Posted in Agentic Enterprise, Artificial Intelligence

Fine-Tuned LLMs (MedPaLM, FinGPT, Legal-BERT) Explained

Posted on November 27, 2025 by uplatzblog

Fine-Tuned LLMs (MedPaLM, FinGPT, Legal-BERT): Domain-Specific Intelligence for Real-World AI General-purpose AI models are powerful, but real-world industries require precision, compliance, and domain expertise. This is where fine-tuned LLMs come Read More …

Posted in Artificial Intelligence

Claude, Gemini, and Mistral Explained

Posted on November 27, 2025 by uplatzblog

Claude, Gemini, and Mistral: The New Generation of High-Performance AI Models The world of generative AI is no longer dominated by a single model family. Alongside GPT and open-source LLMs, Read More …

Posted in Artificial Intelligence

LLaMA & Open-Source LLMs Explained

Posted on November 27, 2025 by uplatzblog

LLaMA & Open-Source LLMs: The Open Revolution in Artificial Intelligence Large Language Models are no longer limited to closed platforms. With the rise of open-source LLMs and models like LLaMA, Read More …

Posted in Artificial Intelligence

GPT Models Explained

Posted on November 27, 2025 by uplatzblog

GPT Models (GPT-3, GPT-4, GPT-4.1): The Engines Behind Generative AI GPT models have changed how the world interacts with artificial intelligence. They can write, code, explain, summarise, and even reason Read More …

Posted in Artificial Intelligence

BERT & Encoder Models Explained

Posted on November 27, 2025 by uplatzblog

BERT & Encoder Models: The Foundation of Modern AI Language Understanding BERT and Encoder-based models have transformed how machines understand human language. Before their arrival, AI struggled with context and Read More …

Posted in Artificial Intelligence

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  • Optimizing Retrieval-Augmented Generation: A Comprehensive Analysis of Architecture, Retrieval Strategies, and Reliability Patterns
  • The Quantization Horizon: Navigating the Transition to INT4, FP4, and Sub-2-Bit Architectures in Large Language Models
  • Process Supervision and Verifiers: The Cognitive Architecture of Reliable Artificial Intelligence
  • The Infinite Canvas: A Comprehensive Analysis of Long-Context Architectures, Sparse Mechanisms, and Memory-Augmented Systems in the Megascale Era
  • Linear-Time Sequence Modeling: The Post-Transformer Era and the Rise of State Space Architectures
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