NeuralBlitz/Agent-Gateway

agentic-ai

Building autonomous AI agents capable of reasoning, planning, and executing multi-step tasks

원문 언어: 영어

few-shot-learning

Learning from a small number of examples per class using metric learning and meta-learning

원문 언어: 영어

generative-ai

Techniques and frameworks for generating new data instances that match the distribution of training data

원문 언어: 영어

large-language-models

Advanced techniques for training and fine-tuning transformer-based language models at scale

원문 언어: 영어

large-language-models

Foundational understanding and practical implementation of transformer-based language models

원문 언어: 영어

multi-modal-learning

Integrating and reasoning across multiple data modalities including text, images, audio, and video

원문 언어: 영어

self-supervised-learning

Learning representations from unlabeled data using pretext tasks and contrastive methods

원문 언어: 영어

zero-shot-learning

Recognizing classes without any training examples using semantic attributes and transfer learning

원문 언어: 영어

etl-pipelines

Extract, Transform, Load processes for moving data between systems

원문 언어: 영어

exploratory-data-analysis

Initial investigation of datasets to discover patterns and identify anomalies

원문 언어: 영어

feature-engineering

Creating and transforming features to improve machine learning model performance

원문 언어: 영어

numpy

Fundamental package for numerical computing with powerful N-dimensional array objects

원문 언어: 영어

scikit-learn

Machine learning library for Python with simple and efficient tools for data mining and analysis

원문 언어: 영어

active-learning

Intelligently selecting which samples to label to maximize model performance with minimal annotation

원문 언어: 영어

bayesian-machine-learning

Quantifying uncertainty and incorporating prior knowledge using probabilistic inference

원문 언어: 영어

curriculum-learning

Training models by presenting examples in order of increasing difficulty for better convergence

원문 언어: 영어

ensemble-methods

Combining multiple models to achieve better predictive performance than individual models

원문 언어: 영어

meta-learning

Learning to learn by acquiring knowledge across multiple tasks that transfers to new tasks

원문 언어: 영어

semi-supervised-learning

Leveraging both labeled and unlabeled data to improve model performance

원문 언어: 영어

transfer-learning

Applying knowledge learned from one task or domain to improve learning on related tasks

원문 언어: 영어

unsupervised-learning

Discovering hidden patterns in data without labeled examples using clustering and dimensionality reduction

원문 언어: 영어

better-auth-best-practices

Skill for integrating Better Auth - the comprehensive TypeScript authentication framework.

원문 언어: 영어

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

원문 언어: 영어

browser-use

Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.

원문 언어: 영어

bioinformatics

Computational biology tools including sequence alignment, phylogenetic analysis, genome assembly, variant calling, and biological database queries for computational research.

원문 언어: 영어

cell-biology

Cell biology fundamentals including cell structure, membrane transport, cell signaling, cell cycle, apoptosis, and microscopy techniques for life science applications.

원문 언어: 영어

genetics

Classical and molecular genetics including Mendelian inheritance, population genetics, genetic linkage, mutation analysis, and evolutionary genetics for biological research.

원문 언어: 영어

molecular-biology

Molecular biology techniques including PCR, cloning, sequencing, gene expression, CRISPR, and cell culture for biotechnology applications.

원문 언어: 영어

analytical-chemistry

Quantitative and qualitative analysis of chemical substances using laboratory techniques and instrumentation

원문 언어: 영어

biochemistry

Biological chemistry including enzyme kinetics, metabolic pathways, protein structure, nucleic acid biochemistry, and molecular biology techniques for life science applications.

원문 언어: 영어

inorganic-chemistry

Inorganic chemistry fundamentals including coordination compounds, organometallic chemistry, crystal field theory, transition metal chemistry, and spectroscopy for chemistry applications.

원문 언어: 영어

organic-chemistry

Organic chemistry fundamentals including functional groups, reaction mechanisms, stereochemistry, synthesis planning, and molecular structure for chemistry applications.

원문 언어: 영어

physical-chemistry

Physical chemistry including quantum chemistry, molecular structure, spectroscopy, thermodynamics, and reaction kinetics for chemistry research applications.

원문 언어: 영어

cloud-security

Comprehensive cloud security practices including identity, network, data, and compliance controls

원문 언어: 영어

edge-computing

Distributed computing paradigm processing data closer to its source for reduced latency and bandwidth

원문 언어: 영어

multi-cloud

Expert-level knowledge and advanced techniques for Multi Cloud

원문 언어: 영어

serverless

Core foundational concepts and principles for Serverless

원문 언어: 영어

service-mesh

Service mesh infrastructure for microservices communication, observability, and traffic management

원문 언어: 영어

automata-theory

Study of abstract machines and computation models including finite automata, pushdown automata, Turing machines, regular languages, context-free languages, and computational limits

원문 언어: 영어

compilers

Design and implementation of compiler technology including lexical analysis, parsing, code generation, and optimization for translating high-level programming languages into efficient machine code

원문 언어: 영어