Photo by Xu Haiwei on Unsplash

I am going to write this first blog to share my learning of Large Language Models (LLM), Generative AI, Langchain, and related concepts. Since I am new to the above topics, I will add a few concepts in 1 blog.

Large language models (LLMs) are the subset of artificial intelligence (AI) that are trained on huge datasets of written articles, blogs, texts, and code. This helps them to create written content, and images, and answer questions asked by humans. These are more efficient than the traditional Google search we have been using for quite some time.

Though new LLMs are still added nearly daily by developers and researchers all over the globe, they have earned quite a reputation for performing the tasks below:

Generative AI is the branch of AI that can create AI-powered products for generating texts, images, music, emails, and other forms of media.

Generative AI is based on very large machine-learning models that are pre-trained on massive data. These models then learn the statistical relationships between different elements of the dataset to generate new content.

LLM and Generative AI though are fresh technologies in the market, they are already powering a lot of AI-based products and there are startups that are raising billions.

For example, LLMs are being used to create chatbots that can easily have natural conversations with humans. These chatbots could be used to provide customer service, psychological therapy, act as financial or any specific domain advisor, or just can be trained to act as a friend.

Generative AI is also being used to create realistic images, paintings, stories, short to long articles, blogs, etc. These are creative enough to trick humans and will keep getting better with time.

With time these technologies will keep getting better and let humans work on more complicated tasks thus eliminating the need for mundane repetitive tasks.

This marks the end of the blog. Stay tuned, and look out for more python related articles, EDA, machine learning, deep learning, Computer Vision, ChatGPT, and NLP use cases, and different projects. Also, give me your own suggestions and I will write articles on them. Follow me and say hi.

If you like my articles please do consider contributing to ko-fi to help me upskill and contribute more to the community.

Github: https://github.com/abhigyan631

Read more:

LLM and Generative AI: The new era | by Abhinaba Banerjee | Aug ... - DataDrivenInvestor