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Gemma 2 is officially here! 🥳 Learn how you can access it → https://goo.gle/3RLQXUa Available in both 9B and 27B parameter sizes, Gemma 2 is higher performing than ever before. Download the weights on Kaggle and Hugging Face, or access the models in Google AI Studio. We’ve also released a new Gemma cookbook to help developers build their own applications and fine-tune Gemma 2 models for specific tasks responsibly.

Victory Adugbo

Growth Marketing Leader & Business Developer || Expert in Hacking Business Growth in AI, Web3, and FinTech Companies || Automation Expert

1mo

Gemma 2 benefits developers by offering open-source, accessible AI models with 27 billion parameters. These models are designed for responsible AI development, allowing developers to experiment, innovate, and conduct robust model evaluations using tools like the LLM Comparator. This makes it easier to build and deploy AI applications effectively.

Alpesh Makwana

Data Engineer | Azure Databricks | Spark | Snowflake

3w

Gemma 2 can benefit data engineers in a number of ways. 1. it can be used to improve the performance of data pipelines. 2. it can be used to automate tasks that are currently performed manually by data engineers. 3. it can be used to create new and innovative data engineering solutions. For example, Gemma 2 could be used to improve the performance of a data pipeline by identifying and eliminating bottlenecks. It could also be used to automate tasks such as data cleaning and transformation. Additionally, Gemma 2 could be used to create new and innovative data engineering solutions, such as real-time data processing systems and machine learning models. * Improve the performance of data pipelines by identifying and eliminating bottlenecks. * Automate tasks such as data cleaning and transformation. * Create new and innovative data engineering solutions, such as real-time data processing systems and machine learning models. I hope this helps!

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🎉 Google for Developers can immediately try high- performance Gemma 2 models on the NVIDIA API catalog and download NVIDIA NIM microservices for local development. ➡ https://nvda.ws/3WLW35R

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Stefano Fiorucci

Contributing to Haystack, the LLM Framework 🏗️ | NLP Engineer, Craftsman and Explorer 🧭

1mo
Raj Rathore

Businessman at Google

3w

Gamail ka password bhul gaya hua mobile bhi chori ho gaya Hai or recovery mail ID bhi Purani company ka hai

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Jassi Hernane

Waitress at Not in a company

1mo

Can't wait!

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สัณหวัช แป้นเขียว

นครศรีธรรมราช ที่ ไม่มี

1mo

ฝากด้วยคับ มาสเตอร์การ์ด https://g.co/kgs/WzNmKGu

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