Can you keep up with all the acronyms across the IT world? It’s OK. You are NOT the only one…
Let me help you with the most popular Artificial Intelligence ones that keep popping up during AI conversations this year…
- Personal Top 5
- RAG – Retrieval-Augmented Generation
- LLM – Large Language Model
- GPT – Generative Pre-trained Transformer
- NLP – Natural Language Processing
- TPS – Tokens per second (throughput)
- Other not as common ones:
- AI – Artificial Intelligence
- ML – Machine Learning
- DL – Deep Learning
- RL – Reinforcement Learning
- GAN – Generative Adversarial Network
- ASR – Automatic Speech Recognition
- RNN – Recurrent Neural Network
- CNN – Convolutional Neural Network
- BERT – Bidirectional Encoder Representations from Transformers
- AGI – Artificial General Intelligence
- ANN – Artificial Neural Network
- FLOPS – Floating Point Operations per Second
- API – Application Programming Interface
- OCR – Optical Character Recognition
- DNN – Deep Neural Network
- SVM – Support Vector Machine
- EDA – Exploratory Data Analysis
- HCI – Human-Computer Interaction
- TTS – Text-to-Speech
- XAI – Explainable Artificial Intelligence
- Performance and Outputs:
- Token – Small unit of text AI processes
- Hallucination – AI confidently making stuff up
- Inference – Running the model vs training it
Did I miss any that you think should be added here? Let me know!
Could you pass a quiz on these acronyms if you were tested on it?
Hope the article helped!
