Artificial Intelligence (AI)

AutoGen

A framework that helps multiple AI agents work together to complete tasks. It is used in Artificial Intelligence projects to build workflows with Generative AI and Machine Learning.

TensorRT

A high-performance engine designed to optimize and run machine learning models efficiently. It is commonly used to speed up inference in production systems.

ONNX

An open format that allows machine learning models to be shared between different tools and frameworks. It helps teams avoid being locked into a single platform.

vLLM

A system designed to run large language models efficiently by managing memory and requests smartly. It is often used to serve modern machine learning models at scale.

Triton

A server that helps deploy and manage machine learning models in production. It supports running different models through a single, scalable service.

Weights & Biases

A platform that helps track experiments, models, and metrics during machine learning development. It makes it easier for teams to compare results and collaborate.

OpenVINO

A toolkit that helps optimize and run Machine Learning models efficiently on different hardware. It is often used to speed up inference in production systems.

XLA

A compiler that improves the performance of Machine Learning computations. It optimizes how models run on hardware like CPUs, GPUs, and accelerators.

Hugging Face

A platform that provides tools and models for working with machine learning and natural language processing. It helps developers build and share AI models more easily.

Eval

A process used to measure how well a model or system performs on specific tasks. It is commonly used in Machine Learning to compare results and improve quality.

Guardrails

A set of rules or controls used to guide how AI systems behave. They help ensure outputs remain safe, consistent, and aligned with expectations.

CrewAI

A framework designed to coordinate multiple AI agents working together on tasks. It is used in modern Machine Learning and AI workflows.

Langroid

A framework for building applications with large language models using structured workflows. It focuses on agent-based design and modular components.

Seldon

A platform that helps deploy and manage Machine Learning models in production. It focuses on monitoring and scaling models reliably.

Comet

A platform that helps track experiments and results in machine learning projects. It supports monitoring metrics and model versions.

LoRA

A technique that adapts large language models using a small number of additional parameters. It reduces training cost and resource usage.

qLoRA

A variation of LoRA that combines low rank adaptation with quantization. It further reduces memory requirements.

Llama

A family of large language models designed for research and commercial use. It is used as a foundation for many AI applications.

Mistral

A set of large language models designed for efficient inference and strong performance. They are used in modern AI systems.

LightGBM

A machine learning framework designed for fast and efficient gradient boosting. It is widely used for classification and regression tasks.

Haiku

A large language model optimized for fast responses and low latency. Claude Haiku is designed for lightweight tasks where speed and efficiency matter.

Sonnet

A large language model optimized for balanced performance and efficiency. Claude Sonnet is designed for everyday AI tasks with strong reasoning and speed.

Opus

A large language model designed for complex reasoning and advanced tasks. Claude Opus is built to handle deep analysis and long context understanding.

Artificial Intelligence

A field of study which determines ways of engineering a computer, a computer-controlled robot, or a software think intelligently, similarly to how humans are capable to think. It includes includes many disciplines, including those that study how human brain works, our learning, decision capabilities and behavior while trying to solve a problem.

Agentic AI

Agentic AI refers to artificial intelligence systems that exhibit a level of autonomy and the ability to take independent actions to achieve specified goals or objectives. These systems can make decisions, learn from their environment, and act in ways that are not explicitly programmed, often resembling a form of intelligent agency.