Google's Gemma Open-Source Models

About this video

In this video, the presenter provides a comprehensive overview of the new open-source models by Google known as Gemma. It details the features and intended applications of the two models, and discusses their benchmarks and comparison with other existing models such as Gemini, Mistral, and Llama. The video also includes several ways users can interact with the Gemma models using different platforms such as Kaggle, Google Cloud, Hugging Face, Perplexity Labs, and Olama. Finally, it encourages users to try out these models, highlighting their potential for powerful queries and flexibility for use in individual applications. 00:00 Introduction to Google's Open Source Models 00:25 Understanding the Models' Intention and Benchmark 00:38 Criticism and Marketing Material of Google's Models 00:58 Technical Report and Performance Metrics 01:43 Testing and Comparing the Models 02:06 Interesting Facts about the Models 02:24 Getting Started with Gemma 02:38 Exploring Different Platforms for Gemma 03:40 Google's Approach to Open Source Models 04:00 Impressive Performance of Mistral AI 04:31 Technical Details of the Models 04:56 Interacting with Models on Hugging Face 05:41 Exploring Perplexity Labs and Olama 06:53 Running Models Locally with Olama 10:29 Conclusion and Viewer Engagement Links: https://blog.google/technology/developers/gemma-open-models/ https://storage.googleapis.com/deepmind-media/gemma/gemma-report.pdf https://ai.google.dev/gemma#benchmarks https://ai.google.dev/gemma/docs https://www.kaggle.com/models/google/gemma https://console.cloud.google.com/vertex-ai/publishers/google/model-garden/335?pli=1 https://huggingface.co/google/gemma-7b-it/discussions https://huggingface.co/chat/conversation/65d6b5802aa2c70802c8e0a2 https://labs.perplexity.ai/ https://github.com/ollama/ollama/releases https://docs.perplexity.ai/docs/rate-limits https://ollama.com/library/gemma https://js.langchain.com/docs/integrations/llms/ollama