Best alternatives to ChatGpt

 There are several alternatives to ChatGPT that are also large language models, including:

GPT-2: Also developed by OpenAI, GPT-2 is a similar model to ChatGPT but with a slightly smaller capacity of 1.5 billion parameters. It has been trained on a diverse range of internet text, and is capable of generating human-like text and understanding a wide range of topics and contexts.

T5: Developed by Google, T5 is a text-to-text transfer model that can be fine-tuned for a variety of natural language processing tasks, including text generation, summarization, and question answering. It has a capacity of 11 billion parameters.

BERT: Developed by Google, BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based model that excels at tasks such as text classification and question answering. It has a capacity of 340 million parameters.

RoBERTa: Developed by Facebook, RoBERTa (Robustly Optimized BERT Pre-training) is an optimized version of BERT that has been pre-trained on a larger dataset. It has a capacity of 355 million parameters.

XLNet: Developed by Google, XLNet is a transformer-based model that uses a different training method than BERT and GPT models, which allows it to learn from a wider range of contexts. It has a capacity of 570 million parameters.

It's worth noting that the best alternative to ChatGPT depends on the specific use case and the task that you want to use it for. For example, if your task is related to text classification or question answering, BERT-like models like RoBERTa or ALBERT are a better fit. If you are aiming for text generation or language-based games BERT-like models are not the best fit and GPT models like GPT-2 or T5 would be a better match.