… You can also use traditional speculative decoding by pairing one of the smaller Gemma 4 models as a draft model with the 31B as the target. Because they share the same tokenizer and training pipeline, the acceptance rate is solid. …
… Of course, where it’s a different experience from NotebookLM is that the model still has all of its training data. …
… Anthropic is primarily an AI safety and research company. Its founding mission is rooted in making AI that is safe and understandable, which is why safety-focused training methods like Constitutional AI are central to its work. …
… The model was deliberately trained for that profile. Qwen 3.5 9B isn't weak on vision either, but Gemma's training is just more directly tuned for the kind of work I throw at it. …
… Since my notes revolve around home lab, DevOps projects, and coding documentation, I’ve set the briefing parameter to force the AI tools to provide detailed insights and maintain a no-nonsense approach throughout the audio overview. …
… Sure, there are still moments when using certain AI tools makes me want to pull my hair out, but NotebookLM is the one tool that taught me that AI can indeed be a game-changer for productivity. …
… Until very recently, the OS wasn't a pain point. It was only when I tried unlocking the bootloader on a Xiaomi phone around 2020 that I realized how cumbersome it was to email the company and wait. …
… It doesn't pull from the wider web or its training data, and every response comes with citations pointing back to exactly where it got its information from. …
… ChatGPT makes editing images ridiculously simple The part Nano Banana 2 really needs to catch up on As I just mentioned, I've found that Gemini's Nano Banana 2 model isn't the best at retaining context and I find that I need to constantly explain the same thing again and again and re-upload referen… …