Machine learning and AI

Internet data is the fuel for artificial intelligence, machine learning, and large language models.

Extract the necessary data for your ML and AI projects with Surfsky

Web scraping simplifies the collection of large data volumes necessary for model training and makes it more accessible. However, many models require regular updates and new data. To ensure uninterrupted access to diverse information sources, you need scalable web scrapers. Surfsky offers all the necessary tools for fast and efficient data extraction.

Datasets for LLMs

Data ingestion for Large Language Models (LLMs) involves collecting vast datasets from various sources, crucial for training LLMs to understand and generate contextually accurate responses. This process enhances LLMs' text analysis and user interaction capabilities, significantly improving their performance in language-based tasks.

Data aggregation

Datasets are crucial for data aggregation companies such as Similarweb, Semrush, Alexa, Next Big Sound, Deloitte, and others, as they enable deep market and consumer insights. This data-driven approach enables their clients to make informed decisions, strategize effectively, and gain a competitive edge in their respective industries.

Recommender systems

Surfsky can be applied in recommender systems to gather data from various sources, such as e-commerce websites, social media platforms, and news platforms. This data can then be used to enrich existing datasets, providing more comprehensive information about products, user preferences, or trends. By incorporating scraped data into the recommendation process, recommender systems can generate more accurate and personalized recommendations for users.

Search engines

ML models for improving search algorithms, personalizing search results, and understanding user queries depend heavily on analyzing web content and user interaction data collected from search engines. Surfsky provides all the necessary tools for developing high-quality web crawlers needed for this task.

E-commerce product mapping

E-commerce mapping, optimized with Surfsky, employs machine learning to streamline product organization and enhance price comparison across major platforms like Amazon, eBay, and Walmart. This approach simplifies navigation, boosts SEO, and enables businesses to provide competitive pricing insights, enhancing the overall online shopping experience.

Image and video recognition

Web scraping with Surfsky automates the collection and analysis of online images and videos for identifying objects and trends, useful for training CV and CNN models and analyzing design trends or social media topics. This process streamlines collecting and examining visual data.

Natural Language Processing

Natural Language Processing (NLP) enables computers to analyze human language, improving human-computer interaction. Surfsky can be applied in NLP by collecting extensive online text data, e.g., reviews and social media posts, for analysis. This helps extract insights such as consumer sentiments and trends.