Here are some alternatives to GPT-4, including Llama 2:
- GPT-3 (Generative Pre-trained Transformer 3):
- Predecessor to GPT-4, GPT-3 is a language model developed by OpenAI with up to 175 billion parameters. It has been widely used for various natural language processing tasks, including chatbot applications.
- BERT (Bidirectional Encoder Representations from Transformers):
- Developed by Google, BERT is another popular language model that uses bidirectional context to understand the meaning of words in a sentence. It has been successful in various NLP tasks and can be an alternative to GPT-4 for specific applications.
- T5 (Text-to-Text Transfer Transformer):
- Developed by Google Research, T5 is a versatile language model that frames all NLP tasks as a text-to-text problem. It can be fine-tuned for a wide range of tasks, making it a flexible alternative to GPT-4.
- XLNet:
- XLNet is an autoregressive language model that combines ideas from both autoregressive and autoencoder-based models. It has achieved state-of-the-art results in various NLP benchmarks.
- Llama 2:
- As mentioned earlier, Llama 2 is an open-source auto-regressive language model developed by Meta (previously known as Facebook). It is available in different parameter sizes and is intended for commercial and research use in English. Its open-source nature and various parameter sizes make it a viable alternative to consider. Here is [llama 2 downaload]
- CTRL (Conditional Transformer Language Model):
- CTRL is a language model that can be controlled by providing specific instructions during the text generation process. It allows for interactive and conditional generation of text, making it suitable for specialized applications.
- MarianMT:
- Developed by Microsoft, MarianMT is a multilingual machine translation model. While primarily designed for translation tasks, it can be adapted for other NLP tasks as well.