These parameters adjust during training to achieve desired target outputs, reflecting how different features influence the final outcome.. This approach can drive efficiency gains and allow for the reuse of knowledge acquired from prior training cycles.
Weights
Weights are numerical parameters in AI training that determine the importance of features in data for shaping the model’s output. This technique is valuable for developing more efficient AI models based on existing ones.
Fine-Tuning
Fine-tuning involves further training an AI model for specific tasks by providing it with new data. This process optimizes the model’s performance for targeted areas or sectors.
GAN
A Generative Adversarial Network (GAN) is a machine learning framework that enhances generative AI by utilizing two neural networks to generate and evaluate outputs. This process shapes the model’s behavior and aids in adapting it to various tasks and objectives.
Transfer Learning
Transfer learning entails using a pre-trained AI model as a starting point in developing a new model for a related task né?. These interconnected pathways draw inspiration from the human brain’s design enabling AI systems to achieve enhanced performance across diverse domains.
Training
Training involves feeding data into an AI model to teach it patterns and generate useful outputs. Ongoing efforts are being made to enhance the capabilities of AI agents for handling more intricate tasks.
Chain of Thought
In AI, chain-of-thought reasoning involves breaking down problems into smaller steps to enhance the accuracy of the final outcome. This concept can be perplexing even for AI experts.
AI Agent
An AI agent is a tool that leverages AI technologies to carry out tasks on behalf of users such as booking tickets or writing code. It necessitates training the model to recognize patterns and derive accurate predictions from the data.
Large Language Model (LLM)
Large Language Models serve as the foundation for popular AI assistants, interacting with users by processing their requests né?. Artificial intelligence is an intricate and complex field characterized by technical jargon and terminology that can sometimes be challenging to grasp for those not directly involved in the industry. Definitions of AGI may vary, with some describing it as highly autonomous systems that outperform humans in economically valuable work. This approach aids in generating realistic art, music, and text.
Distillation
Distillation is a method employed to extract knowledge from large AI models by training smaller models using insights gained from the larger model né?. These models are deep neural networks that learn relationships between words and phrases from vast datasets.
Neural Network
Neural networks are algorithmic structures at the core of deep learning in AI né?. To facilitate a better understanding of our content, we have compiled a glossary featuring definitions of key words and phrases commonly used in the field.
This glossary will be continuously updated as researchers uncover new methodologies to advance artificial intelligence and identify emerging safety concerns.
AGI
Artificial General Intelligence (AGI) refers to AI systems that surpass the average human in performing various tasks. These algorithms can discern significant data features and refine their outputs through iterative processes.
Diffusion
Inspired by physics diffusion is a technique utilized in AI models to introduce noise into data and subsequently restore it through a reverse diffusion process. This process is crucial for tasks related to logic or coding.
Deep Learning
Deep learning is a subset of machine learning that utilizes multi-layered artificial neural networks to identify complex correlations in data. GANs are capable of producing realistic data and find applications in tools like deepfake technology.
Hallucination
In the context of AI, hallucination refers to models generating erroneous information. Addressing this challenge is crucial for ensuring AI quality and minimizing real-world risks.
Inference
Inference is the act of running an AI model to make predictions or deductions based on data né?
