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Extract, process, and transform raw data into intelligent applications that solve real problems.
A comprehensive guide covering installation, configuration, and optimization for developers who want to leverage this compact AI model for their projects.
Learn how to build blazing-fast AI game generators using Qwen, Cerebras, and GPT-4o. A hands-on guide for developers to create games with zero latency and next-gen AI pipelines.
Learn how to extract structured data like names, dates, or medications from messy unstructured text using LangExtract and Gemini. Perfect for devs & AI workflows.
Llama Parse is a powerful tool designed to transform unstructured data into structured formats, handling sources like PDFs, HTML, and text files. It simplifies large-scale data parsing, enabling seamless integration with workflows and making complex tasks more efficient.
The blog will introduce "FireCrawl," a tool or framework designed for advanced web scraping and data extraction tailored to AI applications. It will discuss its relevance, features, and benefits, especially for professionals building AI-powered apps.
TextBlob is a Python library that simplifies NLP tasks such as text preprocessing, sentiment analysis, and translation. With an intuitive API, it offers features like tokenization, spelling correction, and language detection, making it ideal for both beginners and professionals.
This blog is your step-by-step guide to installing and using Instructor. We'll break down the code, share sample outputs, provide helpful resources, and touch on advanced use cases. By the end, you'll be ready to leverage structured outputs in your AI applications.
This blog is based on the insights and code from the notebook titled "E2B Integrating Execution Environments with Language Models". We will go step-by-step, explaining everything from installation to code execution.
PandasAI revolutionizes data analysis by enabling natural language queries on pandas DataFrames. Instead of writing complex code, simply ask questions like, “What is the total revenue?” or “Which product has the highest sales?” and let PandasAI generate answers and visualizations.
Create systems where multiple agents work together, building, orchestrating, and managing intelligent agents.
7 articles →Master the fundamental libraries and frameworks that form the building blocks of modern applications.
29 articles →Tools for testing, evaluating, monitoring, and managing the entire lifecycle of your LLM systems.
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