Google Gemini vs. GLM LLM

Gemini is fantastic for receiving quick answers to questions where accuracy is not paramount. It is great for brainstorming ideas. It is also fantastic for analysing large swathes of unformatted data and finding correlations. Gemini can also transcribe handwriting and audio files making it excellent for formative assessment. It can also now create Google Slides which is great for lesson planning. Gemini is only as good as the prompts you provide it with though so you must remember to be exact with your prompts to get the best outputs.

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• The new image editing functionality surprised me
• In general, file loading is better than in other AI programs
• I think it's somewhat faster than other AI programs, or at least that's the impression it usually gives
• Features like canvas and deep research are very interesting

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• Faces in generated images can be kind of scary looking, deformed.
• When asking for specific text in an image, it often generates funky randomly spelled text instead.
• Tried a bulk image search with uploaded png files to find the same images online and the links it provided were 404 errors instead.

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It's standard usability interface - no problems or challenges using it. I do prefer Claude still because of the different options/modes you can toggle on and off. I don't think Gemini has those options. It's a great daily companion for quick problem solving but not great for larger projects or conversations

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Gemini seems very simple to use, veyr similar to ChatGPT, I wish they did have a capability such as ChatGPT projects one, so one can separate topics easily, it's very customizable, where I believe it defeats the others is that, is already very simple to use all of Google ecosystem, such as Drive, docs, sheets and else

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• Free way to gain another team member
• Helps me be more efficient and overcome blocks in my workflow
• Speeds up my ability to update our website's calendar by easily double if not more
• Allows me to dabble in areas that I have no expertise in such as coding

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info