Generative AI

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Google Gemini Pro is a large language model (LLM) that understands and generates language. 

It's a foundation model that performs well at a variety of natural language tasks such as summarization, instruction following, content generation, sentiment analysis, entity extraction, classification etc. 

The type of content that Gemini Pro can create includes document summaries, answers to questions, labels that classify content, and more.

You can interact with Gemini Pro using a single-turn prompt and response or chat with it in a multi-turn, continuous conversation, even for code understanding and generation.

Gemini Pro Vision is available in Google Cloud Vertex AI Model Garden.

Google Gemini Pro Vision  is a Gemini large language vision model (LLVM) that understands input from text and visual modalities (image and video) in addition to text to generate relevant text responses.

Gemini Pro Vision is a foundation model that performs well at a variety of multimodal tasks such as visual understanding, classification, summarization, and creating content from image and video. 

It's adept at processing visual and text inputs such as photographs, documents, infographics, and screenshots.

Gemini Pro Vision is available in Google Cloud Vertex AI Model Garden.

Google Gemma is a family of lightweight, state-of-the art large open large language (LLM)  models built from the same research and technology used to create the Gemini models.

Gemma comes in 2B and 7B parameter versions.

Gemma can be used for commercial applications and supports 8192 token context window.

Gemma 7B outperforms Mistral AI 7b and LLaMA 2 in Human Eval and MMLU tests.

Gemma is available in Google Cloud Vertex AI Model Garden, as well as on Hugging Face, and Kaggle.