The academic landscape is brimming with innovative large language models (LLMs) like Gemini, ChatGPT, Copilot, Mistral, and Claude. These AI-powered tools share a core competency: processing and generating human-like text. This translates to a range of applications, from crafting compelling creative content to assisting with research and code completion.
However, each LLM possesses unique strengths. Gemini, for instance, boasts exceptional processing speed, while ChatGPT excels in generating creative text formats like poems or scripts. Copilot, designed by Microsoft protects privacy and is available for M365 users in organisations. Mistral is fluent in English, French, Spanish, German, and Italian, whereas GPT-4 can is in English and translate text. Claude (not yet available in the EU) claims that its generative approach is uniquely safe and responsible.
Choosing the right LLM depends on your specific needs and your organisation's requirements.
However, each LLM possesses unique strengths. Gemini, for instance, boasts exceptional processing speed, while ChatGPT excels in generating creative text formats like poems or scripts. Copilot, designed by Microsoft protects privacy and is available for M365 users in organisations. Mistral is fluent in English, French, Spanish, German, and Italian, whereas GPT-4 can is in English and translate text. Claude (not yet available in the EU) claims that its generative approach is uniquely safe and responsible.
Choosing the right LLM depends on your specific needs and your organisation's requirements.
