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Vertex AI Prompt Optimizer, a new managed automated prompt engineering service, can help save time and effort in prompt engineering while ensuring performing prompts ready for your generative AI applications.
Learn about the latest updates to Google's Gemini models, including reduced pricing for Gemini 1.5 Pro, increased rate limits, faster performance, enhanced quality, and more.
Learn about the latest updates to Google's Gemini models, including reduced pricing for Gemini 1.5 Pro, increased rate limits, faster performance, enhanced quality, and more.
The new Picker API enables secure photo selection, while the Library API will focus on managing photos and videos uploaded by your application.
PaliGemma, a lightweight open vision-language model (VLM), is able to take both image and text inputs and produce a text response, adding an additional vision model to the BaseGemma model.
TensorFlow Lite, now named LiteRT, is still the same high-performance runtime for on-device AI, but with an expanded vision to support models authored in PyTorch, JAX, and Keras.
Controlled Generation for Gemini 1.5 Pro and Flash improves the handoff from data science teams to developers, enhancing the integration of AI output and ensuring AI-generated responses adhere to a defined schema.
RecurrentGemma architecture showcases a hybrid model that mixes gated linear recurrences with local sliding window attention; a highly valuable feature when you're concerned about exhausting your LLM's context window.
Gemma 2 is a new suite of open models that sets a new standard for performance and accessibility, outperforming popular models more than twice its size.
Use the Gemma language model to gauge customer sentiment, summarize conversations, and assist with crafting responses in near real-time with minimal latency.