AI Fundamentals

Cloud Native AI builds and runs AI applications using cloud-native tech for scalable, resilient, and portable artificial intelligence solutions in...

Computer Vision is an AI field enabling machines to interpret and analyze images or videos, powering tasks like object recognition and scene understanding.

Contextual Integrity ensures privacy by respecting social norms and proper information flows within specific contexts, protecting data appropriately.

Contextual Window Optimization improves model accuracy by adjusting input size for language models, balancing context depth and computational resources.

Custom GPT is a tailored version of the GPT model, fine-tuned for specific domains or tasks to deliver specialized and accurate language generation.

Data Science is the interdisciplinary field that uses data analysis, statistics, and machine learning to extract insights and inform decision-making.

A dataset is a structured collection of related data used for analysis, processing, or training in AI, data science, and computational applications.

Deep Learning is an AI method using multi-layer neural networks to model complex data patterns, enabling advanced recognition and prediction tasks.

DeepSeek is an AI-driven search technology using deep learning to deliver context-aware, precise, and highly relevant search results beyond keyword matching.

Edge AI runs artificial intelligence models on local devices for fast, private data processing without relying on cloud connectivity or centralized servers.

Edge AI Integration enables AI algorithms to run locally on devices at data sources, improving speed, privacy, and efficiency without relying on cloud...

Embeddings are vector representations that convert complex data into numerical form, capturing semantic meaning for AI and machine learning tasks.

Enterprise AI Strategy defines how organizations plan and implement AI technologies to align with business goals and drive scalable value across operations.

Explainable AI (XAI) makes AI decisions transparent and understandable, enhancing trust, accountability, and interpretability in complex machine learning...

Few-shot learning trains AI models to quickly learn new tasks using very limited labeled data, enabling rapid adaptation from just a few examples.

Fine-tuning adapts pre-trained machine learning models to specific tasks by retraining on smaller datasets for faster, accurate results tailored to target...

A GPU (Graphics Processing Unit) is a specialized processor that accelerates image rendering and parallel computation tasks in graphics, AI, and more.

Gemini AI is an advanced multimodal AI model combining language and visual processing for versatile, context-aware applications and intelligent responses.

Generative AI uses machine learning to create new content like text, images, or code by learning patterns from large datasets, enabling creative automation.

Generative Engine Optimization improves AI models that create content by refining algorithms, tuning parameters, and enhancing output quality and accuracy.

Grok AI is an advanced AI system that deeply understands language and context to enable nuanced natural language processing and intelligent interactions.

Hallucination in AI occurs when models generate false or fabricated outputs that seem plausible but lack factual accuracy or grounding in data.

Hugging Face is a leading platform offering open-source NLP models, tools, and datasets to simplify AI development and model deployment.

LLM Security ensures protection of large language models from threats like prompt injection, data leakage, and unauthorized access, maintaining model...