I built my AI workflow around NotebookLM, Claude, and local models—here's what each does best
…It’s a tad slower than my cloud models, but I like it for its matter-of-fact approach. My local AI doesn’t really learn from my behavior the same way…
…It’s a tad slower than my cloud models, but I like it for its matter-of-fact approach. My local AI doesn’t really learn from my behavior the same way…
…Servers in datacenters are spun up to handle incoming requests, and you've probably read a news feature or two on just how much power these vast complexes require for handling AI…
…Likewise, my Gemma4 and MiniCPM-V models are perfect for performing OCR analysis on my documents via Paperless-GPT. This setup works just as well for Paperless AI, which is not only…
…Related Mixture-of-experts models quietly changed what hardware you need for local AI MoE models make local AI more accessible on hardware that most people actually have AMD isn't worried…
…Related I ditched LM Studio for llama.cpp, and my local LLM doesn't feel like a downgrade anymore My new main runner Ditching cloud AI apps for my new local model…
…Perplexity Perplexity is an AI browser that provides context-aware and sourced answers to prompts. See at Perplexity Multi-model workflows are the way to go One model isn't enough for…
…these new AI chatbots a real shot, I took prompt engineering pretty seriously and spent time figuring out how to structure my prompts properly. But over the years, cloud models became much…
…This includes in-depth coverage of AI tools like NotebookLM to breaking news across the AI space. Her passion for technology started when she received her first iPod Touch (4th generation) on…
…Sign in to your XDA account Cloud AI used to feel refreshingly simple. You paid for a chatbot, picked the best model available, and used it until your work was done. That…
…since, and it's now the launch platform for new open-source models from Black Forest Labs (Flux) and even Stability AI's own releases. Beyond just generating visuals, the node setup…