Generative-AI-use-cases

The mission is to assist you in tackling complex problems and contribute to the betterment of society. To achieve this goal, I have compiled a comprehensive collection of Generative Artificial Intelligence use cases that cater to the unique needs of different industries. From healthcare to finance and entertainment, the list features various applications that can help organizations streamline operations, enhance customer experiences, and drive innovation. By harnessing the power of Generative AI, businesses can unlock new opportunities, create value, and positively impact the world.

To ease the work on generative AI applications that solve business challenges and help you achieve more, here is a curated list of Generative AI use cases focusing on different industries.

Welcome to the living repository of Generative AI use cases spanning a multitude of industries—a dynamic compilation designed to inspire and inform and document the tangible impact of Generative AI in the real world.

This curated collection is much more than a static list; it's an evolving canvas that captures the imagination and innovation of various sectors as they harness the power of Generative AI.

From healthcare's predictive analytics to the creative bursts in digital media and the streamlined efficiencies in manufacturing to the personalized learning experiences in education, this repository is a testament to the current state and a blueprint for the future of AI applications. You are invited to explore this trove of information, contribute your findings, and track the ongoing adoption of these use cases.

As this resource is maintained on GitHub, your insights, updates on live implementations, and real-life examples are not just welcomed; they are essential to the repository's growth.

Dive in to discover, contribute, and keep pace with the rapidly evolving landscape of Generative AI.

• Generative AI Formal Definition
• Generative AI - Large Language Models (Open-Source & Commercial)

Generative AI Use Cases

• Retail and Consumer Goods
  • Content generation: create product descriptions from images and text
  • Customized Suggestions for e-commerce Shoppers
  • Sentiment analysis to identify areas of product improvement
  • Enhance Search with Generative AI on e-commerce
  • Inventory Management and Demand Forecasting
• Banking
• Public Sector

Learning Resources - Large Language Models (LLMs):

Course Name	Description	Link
Large Language Model Course​	Neo4j has partnered with Docker, LangChain, and Ollama to bring Generative AI to experiment and learn. You can run on your laptop	GenAI stack on Github
​Large Language Models: Application through Production	Application through Production for developers, data scientists, and engineers looking to build LLM-centric applications. available on edx org	LLM
Red Teaming LLM Applications	This course is from Deep Learning: Learn to Identify and Evaluate Vulnerabilities in Large Language Model (LLM) Applications.	Red Teaming
CS25	CS25: Transformers United V4 from Stanford	CS25
Local LLM RAG	Local LLM RAG with Unstructured and LangChain Structured JSON is an excellent video that enables you to replicate this.	Local LLM RAG
Deep Learning Foundations	Deep Learning Foundations: Large Language Models from Soheil Feizi, CS Prof at UMD, ML/AI, MIT Alum.	Deep Learning Foundations
​Advanced RAG	​Advanced RAG with LlamaParse and Reranker collab lab and video	Advanced RAG
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Learning Resources - AI/ML, Data Science:

Course Name	Description	Link
Introduction to Machine Learning	University of California, Berkeley, Fall 2023. Covers theoretical foundations, algorithms, methodologies, and applications for machine learning	Intro to Machine Learning
​Introduction to Machine Learning	Carnegie Mellon University, Spring 2019	Intro to ML
Hands-on Data Science	Hands-on Data Science: Complete your First Project from Mısra Turp	Hands-on Data Science
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Large Language Models (LLMs):

LLM Model Name	Description	Link
GenAI Stack	Neo4j has partnered with Docker, LangChain, and Ollama to bring Generative AI to experiment and learn. You can run on your laptop	GenAI stack on Github
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Books:

• Build a Large Language Model (from Scratch)​ by Sebastian Raschka
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Tools:

Tool Name	Description
KwaiAgents	A generalized information-seeking agent system with Large Language Models (LLMs)
Morphcast	Facial Emotion Recognition AI

Data Sets:

• Open access to NASA’s collection of Earth science data for understanding and protecting our home planet
• Open Data Sets repository from Oracle​
• Registry of Open Data on AWS​