What is Quantization in Machine Learning?
In machine learning, Quantization is a method used to make large computer models smaller without losing much accuracy. This helps these models, like LLM, text-to-image or text-to-video, work faster…
In machine learning, Quantization is a method used to make large computer models smaller without losing much accuracy. This helps these models, like LLM, text-to-image or text-to-video, work faster…
Automated Incident Response (AIR) or SOAR (Security, Orchestration, Automation & Response), refers to a technology-driven…
The most popular Large Language Models nowadays are: GPT by OpenAI Gemini by Google Llama…
Prompt Engineering is a specialized field in AI that centers on writing specific instructions that…
Hallucinations are typically associated with human sensory experiences, but the concept can also be applied…
Multimodal AI is a branch of AI that integrates multiple modalities of data to create…
What is Text Classification? Text Classification Text classification is a machine learning technique that involves…
Human Computer Interaction (HCI) is a multidisciplinary field that focuses on the design, evaluation, and…
What is Explainable Reinforcement Learning (XRL)? Explainable Reinforcement Learning (XRL): Making AI Decisions Transparent In…
Artificial Emotional Intelligence (AEI) is a subset of Artificial Intelligence that focuses on the ability…
What is Internet of Things (IoT)? The Internet of Things (IoT) is a revolutionary concept…
What is Autonomous Vehicles (AVs)? Autonomous Vehicles (AVs): The Future of Transportation Autonomous Vehicles (AVs)…