📢 In this week’s email 📢

• Open source llamas from Meta…no not the animals, but AI!

• GitHub’s code searching functionality upgrade finally gets released

• Some heavy hitter open-source maintainers share their hard-earned wisdom

⚡️Open-Source Project of the Week ⚡️

Databerry

Databerry is a no-code platform for building custom LLM Agents. It gives you the ability to create a custom semantic search chat bot for yourself, without any technical knowledge.

Code repository link here

🗒️ Open-Source Issues for First Timers 🗒️

- Implement the Dashboard page using Tailwind

Issue link here

Language: Typescript

- Fix text cases

Issue link here

Language: JavaScript

- Location of Tesla Car Energy Added

Issue link here

Language: Python

As always, you can always find repositories in need of help at goodfirstissue.io

✍️ Cool Stories In the Open-Source World ✍️

UC Berkeley Releases A Free Alternative Of Meta’s LLaMA

UC Berkeley recently released an open-source version of Meta’s LLaMA (Large Language Model Meta AI), Open LLaMA. Open LLaMA has been trained on the RedPajama dataset, containing over 1 trillion tokens. It also covers some other interesting open-source AI projects that are making waves.

Article link here

After 18 months, GitHub’s big code search overhaul is generally available

Github releases its new and improved code search functionality to general availability. The improvements aim to provide a more intelligent code search feature so more relevant results are surfaced first. It even links to how the new code search feature, which is also an interesting read!

Article link here

More than meets the pull request: maintainers talk contributions

Mike Melanson interviews 3 experienced open source maintainers and contributors about accepting contributions from others, testing, non-code contributions, and other interesting topics. I really enjoyed reading the different perspectives of the answers for each question, and learned a TON from each individual.

Article link here

💭 This week’s quote 💭

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Thanks for reading, and happy coding!