Audience
Businesses and developers seeking powerful, customizable AI models for generative tasks, multimodal applications, and enterprise-grade solutions across industries
About Amazon Titan
Amazon Titan is a series of advanced foundation models (FMs) from AWS, designed to enhance generative AI applications with high performance and flexibility. Built on AWS's 25 years of AI and machine learning experience, Titan models support a range of use cases such as text generation, summarization, semantic search, and image generation. Titan models are optimized for responsible AI use, incorporating built-in safety features and fine-tuning capabilities. They can be customized with your own data through Retrieval Augmented Generation (RAG) to improve accuracy and relevance, making them ideal for both general-purpose and specialized AI tasks.
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Amazon Nova Micro
Amazon Nova Micro is an AI model designed for high-speed, low-cost text processing and generation. It excels in language understanding, translation, code completion, and mathematical problem-solving, providing fast responses with a generation speed of over 200 tokens per second. The model supports fine-tuning for text input and is ideal for applications requiring real-time processing and efficiency. With support for 200+ languages and a maximum of 128k tokens, Nova Micro is perfect for interactive AI applications that prioritize speed and affordability.
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Azure OpenAI Service
Apply advanced coding and language models to a variety of use cases.
Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security.
Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension.
Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.
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Amazon Nova
Amazon Nova is a new generation of state-of-the-art (SOTA) foundation models (FMs) that deliver frontier intelligence and industry leading price-performance, available exclusively on Amazon Bedrock.
Amazon Nova Micro, Amazon Nova Lite, and Amazon Nova Pro are understanding models that accept text, image, or video inputs and generate text output. They provide a broad selection of capability, accuracy, speed, and cost operation points.
Amazon Nova Micro is a text only model that delivers the lowest latency responses at very low cost.
Amazon Nova Lite is a very low-cost multimodal model that is lightning fast for processing image, video, and text inputs.
Amazon Nova Pro is a highly capable multimodal model with the best combination of accuracy, speed, and cost for a wide range of tasks. Amazon Nova Pro’s capabilities, coupled with its industry-leading speed and cost efficiency, makes it a compelling model for almost any task, including video summarization, Q&A, math & more.
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ERNIE 3.0 Titan
Pre-trained language models have achieved state-of-the-art results in various Natural Language Processing (NLP) tasks. GPT-3 has shown that scaling up pre-trained language models can further exploit their enormous potential. A unified framework named ERNIE 3.0 was recently proposed for pre-training large-scale knowledge enhanced models and trained a model with 10 billion parameters. ERNIE 3.0 outperformed the state-of-the-art models on various NLP tasks. In order to explore the performance of scaling up ERNIE 3.0, we train a hundred-billion-parameter model called ERNIE 3.0 Titan with up to 260 billion parameters on the PaddlePaddle platform. Furthermore, We design a self-supervised adversarial loss and a controllable language modeling loss to make ERNIE 3.0 Titan generate credible and controllable texts.
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Company Information
Amazon
Founded: 1994
United States
aws.amazon.com/bedrock/amazon-models/titan/
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