Which AI language model should I use?
Have you started using any AI Large Language Models (LLMs) yet? Discuss what you like or don’t like about your LLM of choice.
Here is a basic comparison chart for ChatGPT, Claude, Bard, LLaMa2, and CoPilot:
| Model | Developer | Description | Features | Limitations | Link |
|---|---|---|---|---|---|
| ChatGPT | OpenAI | ChatGPT is a language model developed by OpenAI. It is designed for generating human-like text responses in a conversational manner. | – Conversational AI – Natural language understanding – Large-scale language generation | – May produce incorrect or nonsensical answers – Can be sensitive to input phrasing – Requires careful monitoring to prevent biased or harmful outputs | OpenAI ChatGPT |
| Claude | Anthropic Technology | Claude is an LLM developed by Anthropic Technology. It is designed for generating text responses with a focus on creative writing and storytelling. | – Emphasis on creative writing – Storytelling capabilities – Character-driven narratives | – Limited conversational abilities – May not provide concise or direct answers to specific questions | Anthropic’s Claude |
| Bard | Bard is a language model developed by Google. It is designed for generating text responses with a focus on providing informative and factual answers. | – Emphasis on factual information – Knowledge-based responses – Ability to provide citations and sources | – May not excel in creative or imaginative writing – Limited conversational abilities | Google Bard | |
| LLaMa2 (CoPilot) | Perplexity AI | LLaMa2 is an LLM developed by Perplexity AI. It is designed for generating text responses with a focus on accuracy, speed, and versatility. | – Fast response times – Versatile applications | – May not have the same level of pre-training as other models | Perplexity LLaMa2 |
Please note that the information provided in this comparison is based on available sources and may be subject to change. It is recommended to visit the respective links for each model to get the most up-to-date and accurate information. Additionally, it’s important to consider your specific use case and requirements when choosing an LLM for the first time.