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Explore LangChain with GPT-2 and HuggingFace for AI development without OpenAI costs. Learn to integrate cutting-edge LLMs, text embeddings, and vector stores for innovative applications.
Comprehensive workshop on building HR tools using data science, covering Python basics, class creation, and practical applications for industry professionals.
Learn hands-on web scraping techniques using BeautifulSoup, including script tag extraction with regex and simple class selector methods for efficient data extraction and automation.
Explore OpenAI's Python library for text completion, Q&A, image generation, and speech-to-text. Hands-on tutorial covering GPT-3, DALL-E 2, and Whisper functionalities.
Implement an offline, locally-hosted open-source LLM using Meta's OPT model and LlamaIndex. Learn about instruction-tuned models and explore alternatives to GPT-3 for various NLP tasks.
Explore embeddings in LLMs, their role in AI-powered tools, and practical applications using LlamaIndex and Chroma db. Gain insights into representing data for advanced language processing.
Learn to query databases and CSV files using natural language with LangChain and OpenAI, converting English to SQL or pandas commands for efficient data retrieval and analysis.
Learn to build an AI-powered Q&A system using LangChain and OpenAI. Explore text embeddings, vector stores, and agent chaining to create a custom question-answering tool with your own data.
Build an image classifier for orangutans and komodo dragons using PyTorch's torchvision library and a pretrained ResNet model. Learn to leverage pre-trained models for quick and effective computer vision tasks.
Explore Python's @cache and lru_cache decorators to optimize performance, reduce computations, and save resources with practical examples and comparisons.
Optimize Python code by replacing for-loops with vectorization techniques, improving efficiency and speed while maintaining readability and functionality.
Learn to build neural networks, understand PyTorch's computational graph, and visualize deep learning networks using PyTorchViz in this comprehensive tutorial.
Learn to automate developer workflows using Python's subprocess module. Build a CLI tool to create directories, initialize Git, set up virtual environments, and manage tasks efficiently.
Explore steganography and the Least Significant Bit algorithm for hiding messages in digital images, with Python code examples for embedding and extracting secret data.
Learn to create professional CVs using R and RStudio with the vitae package. Explore 6 templates and leverage markdown for customization in this efficient, programmer-friendly approach to resume building.
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