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Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
…So what does this tell us? Well, your local AI agent doesn't need to be big. It just needs to be good at calling tools. Model size doesn't predict tool…
…According to the Financial Times and AI safety group Alice software tools that remove safety protections from AI models developed by Meta, Google and other tech outfits are being used to create…
…Turns out, the cluster’s performance was worse than a standalone SBC I blame slow network provisions for this bottleneck Since I was using the fairly lightweight Gemma 3 4B, I expected…
…Llama, Gemma, and Deepseek. I opted to install the smallest version of each model, as I only had 32GB of space on the SD Card. Using LLMs on the SBC was responsive…
…Qwen See at Github Replacing the AI is only the first step I found a replacement for everything I use Adding a local LLM is only part of the equation, because Google…
…performing speech recognition tasks locally. This means users can record and transcribe audio in places with poor or no network access. The app uses Google's Gemma-based speech models to convert…
…A widely-used open source example is PaliGemma 2 . As shown in Figure 1, PaliGemma 2 uses SigLIP to encode and project the image into token space compatible with Gemma 2, then…
…Related 7 self-hosted services I use that can run perfectly on a Raspberry Pi Not every self-hosted application requires a top-of-the-line workstation Open WebUI + local LLMs provide…
…website, which uses Gemma 4 and Embedding Gemma to provide dynamic content recommendations offline. By vectorizing post summaries at compile time, the site can suggest related content via a local vector database…
…Which one should you use? After testing both approaches, I don't think cloud AI and local AI are actually competitors. Using local AI has taught me interesting tricks with cloud AI…
