// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Transformer Model
A powerful neural network architecture, especially good for processing sequences like text. It uses an "attention mechanism" to weigh the importance of different parts of the input sequence.
TECHNICAL DEFINITION
A deep learning model architecture, predominantly used in natural language processing, characterized by its reliance on self-attention mechanisms to weigh the importance of different input sequence elements, enabling parallel processing and long-range dependency capture.
BACKGROUND
Prompt engineering is the process of structuring natural language inputs to produce specified outputs from a generative artificial intelligence (GenAI) model. Context engineering is the related area of software engineering that focuses on the management of non-prompt contexts supplied to the GenAI model, such as metadata, API tools, and tokens.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Transformer
- Attention-based Model
- Sequence-to-Sequence with Attention
USAGE NOTE
Transformer models are the foundation of large language models (LLMs) like GPT and BERT.
DEVELOPERS
Organizations developing technology related to Transformer Model.
The original inventors of the Transformer architecture ('Attention Is All You Need') and continuous innovators in large language models such as LaMDA, PaLM, and Gemini, which are built upon this foundational design.
Developed the highly influential Generative Pre-trained Transformer (GPT) series, pioneering the large-scale application of Transformer models for natural language generation and understanding.
Actively researches and develops open-source Transformer-based large language models, including the Llama series, contributing significantly to the wider AI community.
Provides the widely adopted 'Transformers' library and platform, making it easier for AI engineers and prompt designers to build, train, and deploy Transformer-based models.
Engages in extensive research and development of Transformer models through Microsoft Research and commercializes AI services leveraging this technology, notably through its partnership with OpenAI.
Developers of the Claude family of large language models, which are advanced Transformer-based architectures designed with a focus on safety and constitutional AI principles.
Develops specialized hardware (GPUs) and software platforms (e.g., TensorRT, NeMo) crucial for the efficient training, optimization, and deployment of large-scale Transformer models.