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Based on our record, Hugging Face should be more popular than PHP. It has been mentiond 326 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hugging Face hosts thousands of open models for NLP, vision, and other tasks. The Inference API (via Inference Providers) lets you call those models over HTTP. The @huggingface/inference package from huggingface.js is the Node.js client. - Source: dev.to / about 1 month ago
Right now, I don't. If model foo is deleted from HuggingFace but its compare rows are still in the DB, those compare pages will still be served at build time. They'll have the old data until the model's row in models.json is removed โ which only happens if the model falls out of the top-500 in the nightly fetch. It's a known gap. For now, the risk is low; popular models don't disappear. A more robust system would... - Source: dev.to / about 1 month ago
Apify turned out to be an excellent platform for building multi-agent systems(MAS). It allows seamless integration with modern agentic frameworks like LangGraph, CrewAI, TogetherAI, and Hugging Face. - Source: dev.to / about 2 months ago
The garage is not the network. ComfyUI is a workbench. It does not describe how a workflow assembled in it travels to another workbench, what license attaches to the intermediate frames, or who in a multi-tool pipeline counts as the author of the result. Hugging Face is the closest thing the field has to a shared hub for models and datasets, and is a remarkable piece of community infrastructure, and is also a... - Source: dev.to / about 2 months ago
All numbers below are reproducible from public APIs and public repository files: citation metadata, GitHub Code Search, the Hugging Face Hub, and root-level packaging files (requirements.txt, pyproject.toml, etc.) in each OSS repo. The org-scoped grep is org: "import albumentations". - Source: dev.to / 2 months ago
The PHP website is indeed one of the worst parts of the whole ecosystem. Just look at the landingpage (https://php.net) and compare it with those of other languages. There's not a single piece of PHP code on the page. No "what is PHP", no "why should I use it", and no "that's why PHP is great". It's just a news page showing the latest releases, and a small section for downloading PHP. And speaking of the website:... - Source: Hacker News / about 2 months ago
My initial idea was to leverage the main applicationโs queue worker by deploying a queue worker remotely and setting up a secure connection between them using something like Wireguard. Vigilant is written in PHP using the Laravel framework, for queuing it uses Laravel Horizon. This is a queuing system built on top of Redis. All monitoring tasks in Vigilant are executed on this queue, it allows for multiple queues... - Source: dev.to / 8 months ago
I remember being 15 (18 years ago ๐ฅฒ) and learning PHP. Stack Overflow wasnโt as big yet, and finding answers often meant digging through forums filled with half-baked solutions, each dependent on specific hosting configurations. There was no universal standard, some hosts supported certain php.ini settings while others didnโt. The only reliable resource? The official PHP documentation: php.net. - Source: dev.to / over 1 year ago
That's the first I've heard of it, and I like it! I can't tell you the number of trips to php.net to look at argument order for a function. Is it haystack/needle, or needle/haystack? Of course it could turn into the same thing w/ argument names (is it whole_name or full_name?), but I'm going to use it. Source: about 3 years ago
Prepare to spend a fair bit of time reading and going back to phptherightway.com and php.net. I've also found this Tutorial from Envato Tuts+ to be quite good. Source: about 3 years ago
OpenAI - GPT-3 access without the wait
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
LangChain - Framework for building applications with LLMs through composability
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible