llm - Java Programmatic Universe

9 (C)- LLM benchmarks and leaderboards

9 (B)- Human evaluation and user studies

9 (A)- Automatic evaluation metrics (BLEU, ROUGE, METEOR)

8 (B)- Privacy and security considerations

8 (A)- Bias and fairness in LLMs

7 (D)- Content creation and creative writing

7 (C)- Question answering and information retrieval

7 (B)- Text generation and summarization

6 (A)- Model compression and quantization

5 (B)- Fine-tuning LLMs for specific tasks (text generation, summarization, question answering)

4 (C)- TensorFlow and PyTorch for LLMs

3 (E)- LLaMA, Anthropic’s models, and other open-source LLMs

3 (C)- T5 (Text-to-Text Transfer Transformer)

2 (E)- Transformer Architecture

2 (D)- Attention Mechanisms

LLM (Large Language Model) – Topics