This is a how to video on using a calculator to estimate the cost of ElastiCache workloads based on provisioned instances if migrated to ElastiCache serverless offering. Subscribe to AWS: go.

In the full video, learn the principles for how to build Adaptive layouts in Compose following the phase system, with examples of custom layouts using tips and tricks to bring designs to life.

In Amazon DocumentDB ,for fields that have an array value, a multi-key in for fields that have an array value, a multi-key index allows you to create an index key for each element in the array.

In this video, LeverX and AWS will discuss one business use case that customer is building with LeverX to show effective methods for searching and analyzing various data formats through Natural

Discover the potential of SAP AI Core, an SAP BTP service, SAP Gen AI Hub with Amazon bedrock for connecting the proprietary data with modern AI-centered search and analysis techniques.

Ready to supercharge your workflow?

Gemma has some multilingual capabilities and coding capabilities. It might not be fluent in your language, it's surprising how well Gemma can handle your coding requests in your own language.

What Android features are you using to express yourself?

Google – 18 октября 2024, 18:04

Purchase a DROP CSTM80 at: lmg.gg/cstm80 Back during the Pentium 4 era, a company called Rambus made a type of RAM that was set to become THE memory standard for PCs...but why did it fail?

We're hosting a live Adaptive apps Q&A on October 18 at 9 AM PT. Tune in to learn about the latest tools and APIs for building apps that adapt to all your user’s screen sizes and types!

Thank you Nexigo for sponsoring this video! Check out the NexiGo Gripcon lmg.gg/NexiGoShort #sponsored #techtips

Try Google Calendar for yourself → goo.gle/4bYrgae Try Gemini for Workspace → goo.gle/4dADMNY What is Google Workspace → goo.gle/3Nb7HkT Set up Google Workspace → goo.

Cloud Cultures explores what happens when technology and culture converge.

Thanks to Gemini for #GoogleWorkspace, balancing life as a content creator and college student has never been easier for @MatthewMerril 🎓✨ Try Gemini for Workspace → goo.gle/4dADMNY What

Google – 18 октября 2024, 16:03

What does it actually take to finetune a Gemma model to work in your own language, and how do you get the model to handle tasks, like replying to emails?

Learn about why Google, Cohere, Midjourney, and other leaders use JAX for GenAI, including the role of JAX in the development of Gemma. Watch more videos from Gemma Developer Day Tokyo → goo.

Dive-in into Gemma post-training, and how it can be adapted for non-English languages.

Join Tokyo Science Institute's Professor Naoaki Okazaki and Korean GDE Junbum Lee, for an insightful discussion on Gemma's expansion to non-English languages and the future of the open model

Unleash the power of Gemma 2 on your web and mobile applications.

Gemma is empowering everyone to shape the future of AI. Learn more about Gemma 2 and how it can be finetuned for Google has a long history of contributing innovations to the open community.

Pre-training data have a critical role in shaping Gemma's capabilities.

Diving into some of the multi-modal work at Google, we're going to take a deep look into Paligemma, a transformer-based architecture based on Gemma designed for multi-modal understanding.

What does it actually take to finetune a Gemma model to work in your own language, and how do you get the model to handle tasks, like replying to emails?

Dive-in to DataGemma, an experimental set of open models that help address the challenges of hallucination by expanding the capabilities of Gemma 2 to ground LLMs in the vast, real world statistical

Sparse Autoencoders (SAEs) are an interpretability tool that allow you to inspect what concepts your LLM is thinking about.

Discover how the powerful Gemma2 2B AI model runs smoothly on the Jetson Orin Nano, leaving resources available for even more advanced applications powered by Gemma2 itself.

Learn how to run and scal Gemma 2 on Google Cloud. This session is in Japanese but EN captions are available.

Learn more about the Hugging Face ecosystem and check out how to deploy Gemma with TGI in GCP and see how we can leverage its latest features for a highly cost-efficient production setting.