A comprehensive overview of generative AI and LLMs' trends, use cases, and future implications I. - Business, technology trends and applications

7 weeks (from 4.9. to 22.10.2023) in the world of Large Language Models and Generative AI tools:

AI in Business and Technology Trends:

How OpenAI turned LLMs into a mainstream success.

Oracle outlines a vision for AI and a cloud-driven future.

Enterprise SaaS companies have announced generative AI features, threatening AI startups.

How Generative AI is disrupting data practices.

Data Provenance in the age of Generative AI.

Is ChatGPT going to take data science jobs?

40% of the labour force will be affected by AI in 3 years.

And Gartner says: 

55% of organizations are in piloting or production mode with Generative AI.

CIOs must prioritize their AI ambition and AI-ready scenarios for next 12-24 months.

More than 80% of enterprises will have used Generative AI APIs or deployed Generative AI-enabled applications by 2026.

60% of seller work to be executed by Generative AI technologies within five years.

AI Applications and Use Cases:

Large Language Models in real-world customer experience applications.

Five generative AI use cases companies can implement today.

Five use cases for CFOs using generative AI.

Revolutionizing business automation with generative AI.

Redefining conversational AI with Large Language Models.

Pros and cons of LLMs for bad content moderation.

Generative AI on research papers using the Nougat model.

Document topic extraction with Large Language Models and the Latent Dirichlet Allocation (LDA) algorithm.

Using AI to add vector search to Cassandra in six weeks.