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Ready for the Claude 2 vs GPT-4 showdown? If you’ve been keeping on top of AI-related news lately, you might have noticed the buzz around Claude 2, the artificial intelligence large language model (LLM) from Anthropic. It could be a serious rival to the reigning model, OpenAI’s GPT-4. In this guide, we’ll be comparing the two.
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Claude 2 vs GPT-4: introduction
Claude 2 is the updated version of Claude, a large language model created and developed by Anthropic. It promises hugely increased capabilities in terms of input and output compared to its predecessor. GPT-4, created by OpenAI, is the foundation for the hugely successful ChatGPT. Both models operate by using natural language processing and reinforcement learning. Both can solve complex problems and respond to written prompts with human-like text, with outputs ranging in form depending on the input. Furthermore, you can purchase both applications for personal or business use via API.
So how do these valuable tools differ? Keep reading for our comparison on these two generative AI models.
Claude 2 vs GPT-4: how do they work?
GPT-4 is a model with 1.76 trillion parameters, using the Mixture of Experts architecture. It combines multiple models, each with 220 billion parameters. GPT-4 improves its output by generating 16 iterations, each improving on the last.
Claude 2 is an upgraded version of Claude 1.3, but detailed information about its architecture is limited. It performs better overall, produces longer responses, and can be accessed through an API, like GPT-4.
Claude 2: Strengths and weaknesses
Claude-2 is comparatively cheaper than GPT-4, costing $11 per million tokens. It has a context window of 100k – far higher than GPT-4’s 32k. The new model’s strengths lie in its ability to take in and understand very large amounts of text, up to 75,000 words – for example, it is able to summarize novels. It has also been praised for its superior performance with maths and coding.
Anthropic have used the term ‘constitutional AI’ to describe the safety principles the model runs off. This means it uses a set of ‘principles‘ which prioritize AI safety, which have roots in the UN’s Declaration of Human Rights and platform guidelines from companies like Apple. This means (in theory) a higher degree of safety and accuracy in the output of the chatbot.
Claude 2 reportedly scores higher in the bar exam, as well as in GRE writing and the Python coding test.
However, there are obviously some downsides to this new language model. It hasn’t been in use as long as OpenAI’s ChatGPT and the GPT-4 system. This means it performs lower in some tests and exams. Furthermore, it has been reported to make some clear factual errors on occasion.
GPT-4: Strengths and weaknesses
GPT-4 is the established reigning champion of the AI language model world. It performs excellently in response to written or image-based prompts. Due to the large amounts of data and communication it draws upon, it shines when answering questions, telling stories or solving complex problems – it can write complicated essays, jokes, code and more.
Although it was not as strong as Claude 2 when it came to GRE writing, GPT-4 outperformed it in terms of verbal and qualitative tests. Furthermore, GPT-4 does not always check the accuracy of the information it uses in its responses.
Claude 2 vs GPT-4: Gloria’s Thoughts
Ultimately, we’ll have to wait until Claude 2 has been in the game for a longer time before we can call a clear judgement on the winner when it comes to large language models. However, Claude 2 is already looking like a strong contender to field of AI, and could be said to be higher value for money. If this is important to you, it might be worth checking out.