Google has released two new models in its Gemma Series 2: The 27B and the 9B. The 27B model boasts 27 billion parameters and excels in handling complex tasks with precision and depth in language comprehension. On the other hand, the 9B model offers a lightweight option with 9 billion parameters, suitable for applications requiring computational efficiency. The Gemma 2 models outperform competitors in the chat area and were trained with fewer tokens while featuring a context length of 8192 and RoPE for better sequence handling. Important updates include knowledge distillation for training the smaller models, interweaving attention layers, soft attention limitation, and techniques like WARP Model Merger. These models are versatile and could be used in customer service automation, content creation, language translation, and educational tools. Google’s Gemma 2 series signifies a significant step in AI technology advancement and paves the way for innovation across various industries. Asif Razzaq, the CEO of Marktechpost Media Inc., is dedicated to utilizing AI for social good, as demonstrated through the AI media platform Marktechpost. The popularity of this platform, with over 2 million monthly visits, highlights its success in conveying machine learning news in a technically sound and accessible manner.
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https://www.marktechpost.com/2024/06/27/google-releases-gemma-2-series-models-advanced-llm-models-in-9b-and-27b-sizes-trained-on-13t-tokens/?amp
Google Unveils Gemma 2 Series: Enhanced LLM Models Available in 9B and 27B Sizes, Trained on 13T Tokens
