Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
Based on our record, Ollama seems to be a lot more popular than Expo.dev. While we know about 172 links to Ollama, we've tracked only 11 mentions of Expo.dev. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
# Check bundle size Npx expo export --public-url https://expo.dev # Monitor performance # Use React DevTools # Check for memory leaks # Test on older devices. - Source: dev.to / about 1 month ago
If you're using expo (hint: you really should use expo), run expo doctor. - Source: dev.to / 4 months ago
This course was great for me because one, it was made within the last year (at the time I took the course anyway). It seemed anything older than this had out-of-date information (using an older version of React Native) and it would throw me off when I encountered something that wasn't done using the more recent versions of React Native/Expo. - Source: dev.to / 5 months ago
My only true recommendation would be to prefer React for mobile or SSR applications, as community projects (Expo for mobile and Next.js for SSR) are more mature and easier to set up. - Source: dev.to / 5 months ago
A noteworthy point is Tesla's extensive use of Expo libraries. Expo simplifies React Native development and enables developers to easily implement a wide variety of features. Tesla leverages numerous Expo libraries such as expo-filesystem, expo-location, and expo-media-library, Significantly enhancing development productivity and reliably delivering essential app functionality. - Source: dev.to / 5 months ago
We also need a model to talk to. You can run one in the cloud, use Hugging Face, Microsoft Foundry Local or something else but I choose* to use the qwen3 model through Ollama:. - Source: dev.to / 8 days ago
Now we will use Docker and Ollama to run the EmbeddingGemma model. Create a file named Dockerfile containing:. - Source: dev.to / 9 days ago
For the physical hardware I use the esp32-s3-box[1]. The esphome[2] suite has firmware you can flash to make the device work with HomeAssistant automatically. I have an esphome profile[3] I use, but I'm considering switching to this[4] profile instead. For the actual AI, I basically set up three docker containers: one for speech to text[5], one for text to speech[6], and then ollama[7] for the actual AI. After... - Source: Hacker News / 11 days ago
In short, Ollama is a local LLM runtime; itโs a lightweight environment that lets you download, run, and chat with LLMs locally; Itโs like VSCode for LLMs. Although if you want to run an LLM on a container (like Docker), that is also an option. The goal of Ollama is to handle the heavy lifting of executing models and managing memory, so you can focus on using the model rather than wiring it from scratch. - Source: dev.to / 12 days ago
Go to https://ollama.com/ and download it for your OS. - Source: dev.to / 30 days ago
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