Google Gemini Reviews

I am aware of Google Gemini translation tools, but I haven't used them. They don't impact my work as all my work is done in English, so I don't need any kind of translation.

I've been using the API model of Google Gemini to do integrations. I use the tool to make decisions on the next step through the API to Google Gemini, which helps make my software smarter. I can make decisions based on what kind of information I need to extract and parse. Based on Google Gemini, I make my software easier to integrate and easier to make decisions, because I don't have to think about all the details. I just focus on what is important for me.

There is another benefit in that Google Gemini is highly competitive from a cost perspective. The cost per token is very competitive. It's not the best - the Chinese models such as DeepSeek are better, but I can't use them. From a cost perspective, between European and United States options, Google Gemini is very competitive.

It's not only its cost, it's also very performing. The time it takes to process the prompts and context information is very fast. It's one of the fastest models in the market. That's another advantage. There are other models which are also very good in quality but not as fast, such as Anthropic Claude. Google Gemini currently has a very good balance.

The AI capabilities of Google Gemini are a multi-modal LLM which allows me to pass documents, images, and texts in the same prompt. Being multi-modal makes my life easier. I don't have to translate information before I can work with it. Google provides free tools to test scenarios, which speeds up development and reduces costs. It's a very fast and accurate model with quality responses.

I use and actively participate in Google Gemini research, specifically the Gemini 2.5 pro-research model. I conduct strategic and tactical research in various areas.

Google Gemini is a substantial time saver and provides reasonably accurate results, even though hallucinations are possible. I'm impressed with its orchestration capabilities, which structure the workflow for research automatically and meaningfully, making it a helpful tool. It helps in efficiently navigating a large volume of information and saving time.

I use Google Gemini as an intelligent search engine to conduct literature searches. It answers questions, even those I know the answers to, and verifies whether they are correct. I also use it to assist with functionality in KNIME and to resolve issues with applications like YouTube.

The most valuable feature of Google Gemini is its ability to function as an intelligent assistant, providing accurate answers to natural language queries and performing translations. It has a feature to place a slider on the screen that reports on world matters on a map. Additionally, Google Gemini offers advice on using tools like KNIME, enhancing its utility in professional settings.

I use Google Gemini for creating emails, organizing documents, extracting data from large files, summarizing data for final conclusions, and data analysis.

Google Gemini handles large PDF files well, extracting and merging data smoothly. It allows the creation of custom chatbots using 'GEM' and provides an experimental search module capable of scanning hundreds of websites to deliver summarized data. Its ability to process large data sets and support real-time conversations with custom prompts is particularly beneficial. Continuous improvement is a key advantage.