Alec Radford
(9 articles)
Pretrained Model
ML model that has been previously trained on a large dataset and can be fine-tuned or used as is for similar tasks or applications.
Generality: 860
LLM
Large Language Model
Large Language Model
Advanced AI systems trained on extensive datasets to understand, generate, and interpret human language.
Generality: 827
Next Token Prediction
Technique used in language modeling where the model predicts the following token based on the previous ones.
Generality: 735
GPT
Generative Pre-Trained Transformer
Generative Pre-Trained Transformer
Type of neural network architecture that excels in generating human-like text based on the input it receives.
Generality: 811
DLMs
Deep Language Models
Deep Language Models
Advanced ML models designed to understand, generate, and translate human language by leveraging DL techniques.
Generality: 874
CLIP
Contrastive Language–Image Pre-training
Contrastive Language–Image Pre-training
Machine learning model developed by OpenAI that learns visual concepts from natural language descriptions, enabling it to understand images in a manner aligned with textual descriptions.
Generality: 399
Text-to-Code Model
AI models designed to translate natural language descriptions into executable code snippets, facilitating automation in software development and assisting developers.
Generality: 665
Foundation Model
Type of large-scale pre-trained model that can be adapted to a wide range of tasks without needing to be trained from scratch each time.
Generality: 835
LVLMs
Large Vision Language Models
Large Vision Language Models
Advanced AI systems designed to integrate and interpret both visual and textual data, enabling more sophisticated understanding and generation based on both modalities.
Generality: 675