Machine Learning Job Market Trends

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LangGraph

100-200
Employers
+4650%
Growth

A tool or library for visualizing and managing language model workflows, enhancing understanding and optimization.

FLUX (AI Model)

15-30
Employers
+2300%
Growth

FLUX is an advanced diffusion model for AI image generation developed by Black Forest Labs. It offers exceptional speed, quality, and prompt adherence, available in three versions: Schnell, Dev, and Pro. FLUX.1 leverages innovative techniques to produce highly photorealistic images and is open-source, fostering community engagement and innovation.

Agentic

300-600
Employers
+2173%
Growth

Agentic refers to AI systems or agents that possess the ability to act autonomously, making decisions and performing tasks without direct human intervention. These systems are designed to achieve specific goals by leveraging machine learning and decision-making algorithms.

CrewAI

30-60
Employers
+1240%
Growth

CrewAI is a Python framework designed for orchestrating role-playing, autonomous AI agents. It enables collaborative intelligence by allowing agents to work together seamlessly to tackle complex tasks.

ComfyUI

30-60
Employers
+771%
Growth

A web-based Stable Diffusion interface optimized for workflow customization. It offers a modular framework with a graph/nodes interface to simplify creating and modifying image generation tasks, enhancing user experience and productivity.

DSPy

15-30
Employers
+500%
Growth

DSPy is an open-source framework developed by Stanford NLP for programming language models, focusing on building modular AI systems rather than relying on traditional prompting.

Google Gemini

40-80
Employers
+333%
Growth

An AI platform by Google designed to enhance machine learning workflows and model training.

AI Evaluator

12-24
Employers
+329%
Growth

Assesses the performance and accuracy of AI models and systems, ensuring they meet desired standards and objectives.

Small Language Model

30-60
Employers
+327%
Growth

A type of language model designed with fewer parameters and computation resources than large models. They can be used for lightweight applications and resource-constrained environments.