4 unique ways I use Claude that has nothing to do with coding
…Instead of opening Google Docs and copy-pasting each product description to Claude, I used the prompt below to get the job done (without leaving the chat interface). Get me my necklaces…
…Instead of opening Google Docs and copy-pasting each product description to Claude, I used the prompt below to get the job done (without leaving the chat interface). Get me my necklaces…
…be slinging shots like your local blue-haired barista. You can also get more out of your coffee machine by following this quick fix — it could improve the taste. More from Tom…
…Prompting is not a strategy Stop building a chatbot and start building a system The biggest mistake I made in my first few months of self-hosting was treating my local AI…
…I still use local models in my coding tasks, but rather than banking on Anthropic’s formidable models, I’ve got a hybrid VS Code + Continue setup that has improved my programming…
…Improved the performance when navigating to see storage on large volumes via Settings > System > Storage > Advanced Storage Settings > Disks & Volumes. Updated Settings > System > Storage, so rather than seeing a UAC prompt immediately…
…prompts only added tiny delays, but longer prompts made the gap harder to ignore. The Spark was ahead in image generation and fine-tuning benchmarks too. AMD’s software stack has improved…
…Using OGA’s prefill chunking support, long prompts can be processed in smaller segments rather than as a single large batch. This reduces peak memory pressure and improves stability on constrained NPU…
…Frictionless Local AI: Collaborate, Optimize, Customize Many of today’s popular AI applications are making it easier for beginners to try state-of-the-art models directly on their laptop or desktop…
…Most people treat Claude as a smart terminal and focus only on prompts. In a few instances, treating it like a chatbot means missing built-in controls like slash commands. The slash…
…FlashEvolve further improves throughput and token efficiency with speculative stage completion and adaptive workflow control . On GEPA workloads, FlashEvolve improves proposal throughput by 3.5times on local vLLM and 4.9times on…