Browsing Tag
Gemma
7 posts
Next-Gen RAG with Couchbase and Gemma 3: Building a Scalable AI-Powered Knowledge System
Introduction Retrieval-Augmented Generation (RAG) is revolutionizing AI applications by combining the power of retrieval-based search with generative models.…
PaliGemma Fine-tuning for Multimodal Classification
Creating more dependable and accurate machine learning models nowadays depends on combining data from several modalities, including text…
Online Knowledge Distillation: Advancing LLMs like Gemma 2 through Dynamic Learning
Large Language Models (LLMs) are rapidly evolving, with recent developments in models like Gemini and Gemma 2 bringing…
[ML Story] Part 3: Deploy Gemma on Android
Written in collaboration with AI/ML GDE Aashi Dutt. Introduction In the preceding two articles, we successfully learned how to…
Fine-tuning Gemma with QLoRa
Fine-tuning language models has become a powerful technique for adapting pre-trained models to specific tasks. This article explores…
Fine Tuning Gemma-2b to Solve Math Problems
Mathematical word problem-solving has long been recognized asa complex task for small language models (SLMs). To reach a…
Introducing Gemma models in Keras
Posted by Martin Görner – Product Manager, Keras The Keras team is happy to announce that Gemma, a…