// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Gemini
Gemini is a powerful and versatile AI model family from Google that can understand and work with different types of information, like text, images, audio, and video.
TECHNICAL DEFINITION
Gemini is a family of multimodal large language models developed by Google AI, designed to be natively multimodal, capable of understanding and operating across text, code, audio, image, and video inputs, offering different sizes (Ultra, Pro, Nano) for various applications.
BACKGROUND
Prompt injection is a cybersecurity exploit and an attack vector in which innocuous-looking inputs are designed to cause unintended behavior in machine learning models, particularly large language models (LLMs). The attack takes advantage of the model's inability to distinguish between developer-defined prompts and user inputs to bypass safeguards and influence model behaviour. While LLMs are designed to follow trusted instructions, they can be manipulated into carrying out unintended responses through carefully crafted inputs.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Google Gemini
- Gemini AI
- Multimodal Gemini
USAGE NOTE
Gemini is positioned as a foundational model for a wide range of applications, from advanced chatbots to complex data analysis.
DEVELOPERS
Organizations developing technology related to Gemini.
The primary research division within Google responsible for developing the Gemini family of large language models and conducting foundational research in AI engineering.
Offers Gemini models through its Vertex AI platform, providing tools and services for enterprises to integrate, engineer, and optimize AI applications, including advanced prompt management and evaluation features.
An open-source framework designed to help developers build applications with large language models, providing tools for prompt management, chaining, and integrating various models, including Google's Gemini.
An open-source data framework for LLM applications that connects LLMs to external data, offering tools for data ingestion, indexing, and querying, which involves prompt construction and optimization for models like Gemini.
Provides an MLOps platform for tracking, visualizing, and optimizing machine learning models, including LLMs. Its tools are used for prompt engineering experiments, versioning prompts, and evaluating model outputs from Gemini and other models.
A leading platform for AI, offering a vast repository of models, datasets, and tools. It facilitates the development, deployment, and research of LLMs, including resources and community support relevant to prompt engineering for models like Gemini.
Offers a platform for prompt engineering, testing, and observability for LLM applications, helping developers to experiment, evaluate, and deploy prompts effectively with models such as Gemini.
A platform focused on enabling developers to build and manage LLM-powered applications, providing tools for prompt engineering, experimentation, model evaluation, and deployment across various LLMs, including Gemini.