Agent-Gateway

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

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

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

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

Foundational understanding and practical implementation of transformer-based language models

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

Learning representations from unlabeled data using pretext tasks and contrastive methods

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

Extract, Transform, Load processes for moving data between systems

Initial investigation of datasets to discover patterns and identify anomalies

Creating and transforming features to improve machine learning model performance

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

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

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

Quantifying uncertainty and incorporating prior knowledge using probabilistic inference

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

Combining multiple models to achieve better predictive performance than individual models

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

Leveraging both labeled and unlabeled data to improve model performance

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

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

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

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.

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.

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

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

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

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

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

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

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

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

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

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

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

Expert-level knowledge and advanced techniques for Multi Cloud

Core foundational concepts and principles for Serverless

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

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

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