Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
When I opened the CNN app yesterday, the first thing I noticed was a brand-new “Shorts” button right on the home screen. The app already had a “Watch” section where vertical videos live, but those clips were kind of hidden behind a larger menu.
When Amazon rolled out the second season of “House of David,” it slipped more than 350 AI-generated shots into the show’s visual mix - a detail the creator won’t let slide.
When I first tried to spin up a production-ready LLM, I quickly learned it isn’t just “pick a model and click run.” The guide “From Zero to LLMOps Hero” actually walks you through each piece, starting with the codebase, then data ingestion, and...
When I tried pulling news with ChatGPT, the source you get can feel like a whole different story. In a quick side-by-side test of the web UI versus the API, the browser chat mostly showed pieces from big-name outlets.
When OpenAI walked us through its latest briefing, I got the feeling that the speed of AI advances could soon outpace the little chores we already hand off to bots.
I just tried a brand-new language model that popped up on a public API, and the curl snippet below shows exactly how you can talk to it.
So, there's this new multimodal tool called JanusCoder that says it can write code and crank out graphics at the same time.
The newest review of ChatLLM frames it as a one-stop shop for a gripe that’s been echoing through tech forums: having to juggle a mishmash of AI subscriptions.
When I first opened Notion 3.0, the thing that struck me wasn’t the new icons but the fact that GPT-5 sits right inside the app. It feels less like a typo-checker and more like a little assistant that can actually get things done.
When you’re trying to glue a front-end UI, a cloud function and a real-time database together, the editor suddenly feels important. Most of us already spend countless hours in VS Code, tweaking extensions and getting used to its layout.
Traveling around Europe with a family that speaks a few languages can feel like stepping through a minefield, especially when the newest AI translation apps promise smooth chats.
When we try to train huge biology transformers, the attention layers often hit a snag - they just can’t keep up when sequence lengths swing wildly from one batch to the next.
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