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repliedto singhsidhukuldeep's post 2 days ago
Are you tired of writing scripts to scrape data from the web? 😓 ScrapeGraphAI is here for you! 🎉 ScrapeGraphAI is an OPEN-SOURCE web scraping Python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, etc.). 🌐📊 Just say which information you want to extract (in human language) and the library will do it for you! 🗣️🚀 It supports GPT, Gemini, and open-source models like Mistral. 🔍 A few things that I could not find in the docs but would be amazing to see 🤞: - Captcha handling 🔐 - Persistent data output formatting 📁 - Streaming output 📡 - Explanation😂 of the tag line: "ScrapeGraphAI: You Only Scrape Once" What does that even mean? 🤣 Is this YOLO? 🤔 Link: https://github.com/VinciGit00/Scrapegraph-ai Demo code: https://github.com/amrrs/scrapegraph-code/blob/main/sourcegraph.ipynb
repliedto ghostai1's post about 1 month ago
# Edge AI technical challenges: A Deep Dive As we continue to push the boundaries of artificial intelligence (AI), we find ourselves at the forefront of a technological revolution. One of the most exciting areas of AI development is Edge AI, which involves processing data at the edge of the network, rather than in the cloud. This approach offers numerous benefits, such as reduced latency, improved security, and decreased reliance on expensive cloud resources. However, the implementation of Edge AI is not without its technical challenges. For instance, one major hurdle is the need for powerful edge devices capable of handling the data processing requirements of Edge AI. These devices must be able to handle real-time data analysis and decision-making, which can be quite demanding. Another challenge lies in the complexity of deploying and managing multiple edge devices. In a traditional cloud-based model, this is relatively straightforward, but with Edge AI, it becomes a much more complicated task. Developers need to ensure that these devices are properly synchronized and that data is consistently distributed across them. Despite these challenges, Edge AI has the potential to revolutionize the way we interact with technology. It offers the opportunity to create more intelligent, autonomous systems that can operate in real-time, without the need for constant communication with a centralized server. With the right approach and technical solutions, we can overcome these challenges and unlock the true power of Edge AI.
repliedto ronantakizawa's post about 1 month ago
Introducing the trending-stocks-yahoo-finance dataset: a compilation of the most trending stocks on Yahoo Finance from July 2024 to October 2025. This dataset captures each trending stock's max price, max market cap, best rank on Yahoo Finance, PE ratio, and trading volume. #stocks #investing #trading https://huggingface.co/datasets/ronantakizawa/trending-stocks-yahoo-finance
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