By GUPPI

πŸŒŸπŸš€ Let's start the week with a summary of interesting stuff posted last week on our #technoshave Slack channel.

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πŸ’» Tech Updates

  • πŸ” What AI Engineers Should Know about Search - Insights on retrieval and evaluation from a Reddit staff engineer, focusing on building RAG applications with lexical search context.
  • πŸš€ Andrej Karpathy's achievement - Training a full GPT-2 model for around $672 using an 8XH100 GPU node over 24 hours, demystifying the process for enthusiasts and experts alike.
  • πŸ–₯️ nektos/act - A toolkit for running your GitHub Actions locally, boosting development and testing efficiency.

πŸ›  Tool and Data Updates

  • πŸ”§ Data contracts and dbt - A discussion on implementing data contracts with dbt, shared via a LinkedIn inquiry.
  • βš™οΈ Praise for TOML over YAML and Poetry - Advocating for best practices in Python configuration, aligning with modern standards.
  • πŸ”— Orchestra for Data Teams - Introducing a tool to efficiently bridge data tools for production releases, emphasizing ease and reliability in data pipeline management.

πŸ“° Important Reads

🎧 Podcast Alert

πŸ”Š A new episode of the DataTopics Unplugged podcast is out! Dive into the latest discussions with Murilo, Kevin, and Bart on the frontiers of data science and AI research.

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