12 Must-know Gen AI Terms

Are you keeping up?

Image: prediction by Yaning Wu

Gen AI is transforming industries.

If you want to stay ahead, keep these 12 terms in your back pocket.

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1. LLM (Large Language Model)

Advanced AI systems trained on vast text datasets to understand and generate human-like text.

2. Fine-tuning

The process of adapting pre-trained AI models to specific tasks or domains to improve their performance.

3. Tokens

Fundamental units of text processing in AI models, representing words, subwords, or characters.

4. Chain-of-Thought

Part of AI's reasoning process: a prompting technique that encourages AI to break down complex problems into step-by-step reasoning.

5. Transformers

The revolutionary neural network architecture with self-attention mechanisms to process sequential data.

6. Embeddings

Numerical representations of text, images, or data in high-dimensional spaces, enabling efficient AI processing.

7. Hallucinations

A phenomenon where AI models generate confident and factually incorrect information; a key challenge in ensuring reliable outputs.

8. Context Window

The amount of input text an AI model can process in a single interaction, affecting its ability to maintain coherence and source info.

9. Prompt Engineering

Designing AI input instructions so that AI models achieve desired outputs, combining precise context, steps, and guardrails for optimal results.

10. RAG (Retrieval Augmented Generation)

A technique that combines knowledge retrieval with text generation to produce factual responses by grounding AI responses with external source info during generation.

11. Zero-shot Learning

The capability of AI models to perform tasks without referencing specific training examples or scenarios.

12. Temperature

A control parameter of LLMs that affects the creativity and randomness of AI outputs, balancing between accuracy and creativity.