chatgpt - Java Programmatic Universe

9 (C)- LLM benchmarks and leaderboards

9 (B)- Human evaluation and user studies

8 (C)- AI governance and ethical frameworks

8 (A)- Bias and fairness in LLMs

7 (E)- Code generation and programming assistance

7 (D)- Content creation and creative writing

7 (B)- Text generation and summarization

7 (A)- Chatbots and conversational AI

5 (C)- Prompt engineering and few-shot learning

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

5 (A)- Pre-training techniques (self-supervised learning, masked language modeling)

4 (B)- Anthropic’s models and APIs

4 (A)- Hugging Face Transformers

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

3 (D)- GPT-3 and its variants (GPT-J, GPT-Neo)

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

3 (B)- Bidirectional Encoder Representations from Transformers (BERT)

3 (A)- Generative Pre-trained Transformer (GPT)

2 (D)- Attention Mechanisms

LLM (Large Language Model) – Topics