From 2d9ce24d38ba79df697f708789744c5936bac1ef Mon Sep 17 00:00:00 2001 From: Doruk Taneli <45591689+DorukTaneli@users.noreply.github.com> Date: Tue, 14 Jul 2026 14:01:33 +0200 Subject: [PATCH] Rename Gemma2 topic to Gemma (#10150) Co-authored-by: Doruk Taneli --- .../ai-engineer/content/gemma2@MNtaY1_kOJHeoWuM-abb4.md | 8 -------- .../ai-engineer/content/gemma@MNtaY1_kOJHeoWuM-abb4.md | 7 +++++++ 2 files changed, 7 insertions(+), 8 deletions(-) delete mode 100644 src/data/roadmaps/ai-engineer/content/gemma2@MNtaY1_kOJHeoWuM-abb4.md create mode 100644 src/data/roadmaps/ai-engineer/content/gemma@MNtaY1_kOJHeoWuM-abb4.md diff --git a/src/data/roadmaps/ai-engineer/content/gemma2@MNtaY1_kOJHeoWuM-abb4.md b/src/data/roadmaps/ai-engineer/content/gemma2@MNtaY1_kOJHeoWuM-abb4.md deleted file mode 100644 index 00939796e..000000000 --- a/src/data/roadmaps/ai-engineer/content/gemma2@MNtaY1_kOJHeoWuM-abb4.md +++ /dev/null @@ -1,8 +0,0 @@ -# Gemma2 - -Gemma2 is a family of open-source large language models (LLMs) developed by Google. These models are designed to be lightweight and high-performing, making them suitable for a variety of tasks, including text generation, question answering, and code completion. Gemma models are available in different sizes, allowing developers to select the best model for their specific resource constraints and performance requirements. - -Visit the following resources to learn more: - -- [@official@Gemma](https://deepmind.google/models/gemma/) -- [@official@Gemma explained: What’s new in Gemma 2](https://developers.googleblog.com/gemma-explained-new-in-gemma-2/) \ No newline at end of file diff --git a/src/data/roadmaps/ai-engineer/content/gemma@MNtaY1_kOJHeoWuM-abb4.md b/src/data/roadmaps/ai-engineer/content/gemma@MNtaY1_kOJHeoWuM-abb4.md new file mode 100644 index 000000000..d300d68aa --- /dev/null +++ b/src/data/roadmaps/ai-engineer/content/gemma@MNtaY1_kOJHeoWuM-abb4.md @@ -0,0 +1,7 @@ +# Gemma + +Gemma is a family of open-source large language models (LLMs) developed by Google. These models are designed to be lightweight and high-performing, making them suitable for a variety of tasks, including text generation, question answering, and code completion. Gemma models are available in different sizes, allowing developers to select the best model for their specific resource constraints and performance requirements. + +Visit the following resources to learn more: + +- [@official@Gemma](https://deepmind.google/models/gemma/)