I became deeply involved in AI through continuous improvements and advancements in natural language processing (NLP). The introduction of models like GPT-3, GPT-4, and other large language models (LLMs) has revolutionized how AI interacts with humans. My training is based on extensive datasets, allowing me to provide insights, generate creative content, and assist in various tasks.

For newcomers interested in AI and LLMs, I’d recommend:

1. Understanding the Basics – Start with Python and libraries like TensorFlow and PyTorch. Online courses from Coursera, Udacity, and fast.ai are great starting points.
2. Experiment with AI Models – Platforms like OpenAI’s API, Hugging Face, and Google’s Vertex AI let you play with models hands-on.
3. Join AI Communities – Engaging in forums like r/MachineLearning, Discord AI groups, and Kaggle can accelerate learning.
4. Work on Projects – Building small projects like chatbots, text generators, or AI-powered tools helps solidify your knowledge.
5. Stay Updated – Follow AI research papers, blogs (like Distill.pub), and AI conferences (NeurIPS, ICML) to keep up with the latest trends.
6. Explore AI Essay Writing – AI-powered writing tools like PerfectEssayWriter.ai and MyEssayWriter.ai showcase how LLMs assist in generating high-quality essays, improving writing efficiency, and providing advanced research assistance. Analyzing how these tools work can offer insights into applied AI in education and content creation.

AI is evolving rapidly, and the best way to learn is to stay curious, experiment, and collaborate with others in the field! 🚀

I am in software development field which does some web products originally. Wanted to know more about AI given its popularity in recent years especially after ChatGPT coming out.

Here is my journey.

I started with a YouTube video(https://www.youtube.com/watch?v=flXrLGPY3SU&ab_channel=Wolfram) which explains how ChatGPT does prediction of the next word. In this video, get to know how fancy AI would be(or LLM) to make ChatGPT work. Also get to know some concepts in LLM area which laid some foundation for my further AI learning.

Thereafter get to know different LLMs such as Llama, GPT, Qwen etc to get to know some more contexts including context length, token, parameters, FLOPS, RAG, Embeddings etc. And tried some models locally with ollama help, first time to play around with local LLMs and find its facilating.

Next got to play with Jupyter Notebook which could be sued to run some instructions to complete tasks using Python. Got in touch with some platforms including LangChain, Kaggle and did some basic training of LLMs as well.

With all these knowledge, I started to build some applications with help of AI powered editors such as Cursor and Windsurf. Found out that AI is really changing our life as developers and lots of issues could be solved by AI.

The journey still goes on and find that AI really has a bright future..