What are Large Language Models (LLMs)?

Large Language Models (LLMs) are a powerful subset of artificial intelligence trained to understand, generate, and manipulate human language. LLMs are the foundation of tools like ChatGPT, Claude, and Gemini. LLMs are trained on a massive amount of text data. With this data, LLMs:

- Predict the next work in a sentence (or token) based on what came before.
- Can be fine-tuned for specific tasks, including summarization, translation, Q&A, etc.
- Are trained on public data and then optionally "fine-tuned" on more specific datasets.

LLM Applications

- Understand and answer questions.
- Analyze sentiment, meaning, and context.
- Translate languages.
- Write essays, poems, reports, or dialogue.
- Summarize documents.
- Solve logic or math problems.
- Generate legal agreements, technical specs, or data analyses.

LLM Limitations

Hallucinations: Can confidently generate incorrect or inaccurate outputs.
Bias: Reflect social, political, or cultural biases from training data.
Memory: Limited awareness or prior conversations (unless designed with memory).

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