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Hugging Face
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TryHackMe might be a bit more popular than Hugging Face. We know about 376 links to it since March 2021 and only 329 links to Hugging Face. 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.
Download from Hugging Face with a single command. Models come in different quantization levels (compression trade-offs). A 4-bit quantized version is roughly 4x smaller than the full-precision version, with minor quality loss. For most team use cases, the quantized versions are the practical choice because they fit in less GPU memory. - Source: dev.to / about 10 hours ago
There are a couple of options. One good way to find inference providers for open models is through hugging face (https://huggingface.co). You can select a model and see which inference providers serve it. You can even access it through hugging face. If you just wanted to test a model or have super light work you can get some free access to alot of open source models through nvidia (https://build.nvidia.com). There... - Source: Hacker News / 5 days ago
Both the base and instruct variants of Aether-7B-5Attn, plus a live interactive demo, are publicly available on Hugging Face. Search for VIDRAFT or Aether-7B-5Attn on huggingface.co to find the model cards and repository. - Source: dev.to / 14 days ago
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 / 2 months 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 / 3 months ago
When they cut out our internet in about 2017, I have always fantasized about being a hacker and finding a way to restore it completely ๐. I think this was one of the things that led me to explore Cybersecurity. I began my cybersecurity journey with tryhackme.com, and was later accepted into the CyberGirls Fellowship program, a rigorous one-year program designed to encourage women to enter the field of... - Source: dev.to / 8 months ago
๐ More resources available on GitHub ๐ Connect on LinkedIn โ๏ธ Prepared by moh4med404 โ inspired by the Cybersecurity 101 path on TryHackMe. - Source: dev.to / 12 months ago
If you are willing to spend some on learning, I recommend subscribing to tryhackme.com. For me, they have the best materials for beginners. If you are on a budget, you may start looking for cybersecurity roadmap in roadmap.sh. They curate roadmaps for many IT careers and within nodes are free learning sources. - Source: dev.to / over 1 year ago
TryHackMe | Full-time | Remote | with annual team retreats | https://tryhackme.com/ TryHackMe is the fastest-growing online cyber security training platform. Our mission is to make learning and teaching cyber security easier by providing gamified security exercises and challenges. Having only been around for a handful of years, we've grown to more than 3 million community members and our growth isn't slowing down!... - Source: Hacker News / almost 2 years ago
This will be a write-up post for the Attacktive Directory room on TryHackMe. It's a learning room in the Cyber Defense path, under the Threat Emulation section. The idea is to attempt to exploit a vulnerable Domain Controller in Active Directory. - Source: dev.to / almost 2 years ago
OpenAI - GPT-3 access without the wait
Hack The Box - An online platform to test and advance your skills in penetration testing and cyber security.
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.
VulnHub - VulnHub provides materials allowing anyone to gain practical hands-on experience with digital security, computer applications and network administration tasks.
LangChain - Framework for building applications with LLMs through composability
PentesterLab - Learn all about web hacking through online courses spanning the basics to advanced vulnerabilities