Self-organizing map
A self-organizing map (SOM) is an unsupervised learning technique used in machine learning to visualize and analyze high-dimensional data.
Artificial Intelligence
Code as policies (robot control)
Code as policies in robot control refers to the practice of embedding rules and regulations into the programming of robots to ensure compliance with ethical and operational standards.
Google embedding (Gecko)
Google embedding (Gecko) is a concept related to integrating Google services or technologies within Gecko-based web browsers. It involves embedding Google features or content into the Gecko rendering engine, which is used by browsers like Mozilla Firefox.
DSPy (Declarative Self-improving Language Programs)
DSPy (Declarative Self-improving Language Programs) is a conceptual framework or programming paradigm aimed at creating software systems that can autonomously enhance their own code or behavior through declarative specifications. It combines principles from declarative programming with self-improvement capabilities to enable adaptive, evolving programs.
Gemini (language model)
Gemini is a language model developed to advance natural language processing tasks. It aims to improve understanding, generation, and interaction in AI systems through innovative architecture and training techniques.
Sentence-BERT (SBERT)
Sentence-BERT (SBERT) is a modification of the BERT network designed to generate semantically meaningful sentence embeddings. It allows efficient and accurate sentence similarity comparisons and clustering in natural language processing tasks.
Principal component analysis (PCA)
Principal component analysis (PCA) is a statistical technique used to reduce the dimensionality of data by transforming it into a new set of variables called principal components. These components capture the maximum variance within the data, enabling easier visualization, interpretation, and noise reduction.
PyTorch
PyTorch is an open-source machine learning library developed by Facebook’s AI Research lab. It is widely used for applications such as computer vision and natural language processing, known for its dynamic computational graph and ease of use.
WinoGrande
WinoGrande is a large-scale dataset designed for evaluating commonsense reasoning in natural language processing. It extends the Winograd Schema Challenge by providing thousands of carefully constructed sentence pairs that test an AI’s ability to resolve ambiguous pronouns.
Set transformer
The Set Transformer is a neural network architecture designed for processing sets of data, notable for its ability to handle variable-sized inputs effectively.