Options that appear in the same research papers as NLP, by co-occurrence.
| Alternative | Difference | Papers (with NLP) | Avg viability |
|---|---|---|---|
| Hugging Face | — | 21 | — |
| Transformers | — | 21 | — |
| PyTorch | — | 20 | — |
| GPT-4 | — | 18 | — |
| LLM | — | 18 | — |
| TensorFlow | — | 10 | — |
| LLMs |
| — |
| 9 |
| — |
| OpenAI API | — | 7 | — |
| Large Language Models | — | 7 | — |
| LangChain | — | 6 | — |
| Reinforcement Learning | — | 6 | — |
| Agents | — | 6 | — |
| GitHub | — | 5 | — |
| JAX | — | 4 | — |
| LoRA | — | 4 | — |
| GPT | — | 4 | — |
| RAG | — | 3 | — |
| Claude | — | 3 | — |
| framework | — | 3 | — |
| Kubernetes | — | 2 | — |
| Llama-3 | — | 2 | — |
| BERT | — | 2 | — |
| Gemma | — | 2 | — |
| PEFT | — | 2 | — |
| Weights & Biases | — | 2 | — |
| FastAPI | — | 1 | — |
| CUDA | — | 1 | — |
| FAISS | — | 1 | — |
| Docker | — | 1 | — |
| Llama | — | 1 | — |