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foundation models

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Amazon Bedrock Runtime

2026-01-07T13:42:57+00:00

Bookmarks Amazon Bedrock Runtime Actions Key Data Types Inference Concepts Security Pricing Amazon Bedrock Runtime Cheat Sheet Amazon Bedrock Runtime is a high-performance, serverless API that enables developers to make inference requests to Foundation Models (FMs) available in Amazon Bedrock. It serves as the primary runtime interface for building generative AI applications, supporting use cases including text generation, multi-turn conversations, real-time streaming, image generation, embeddings, and more. The API is optimized for low latency and high throughput and provides unified access across multiple model providers.   Amazon Bedrock [...]

Amazon Bedrock Runtime2026-01-07T13:42:57+00:00

Amazon Titan

2025-12-30T14:40:34+00:00

Bookmarks Features Use Cases Amazon Titan Text Models Amazon Titan Text Embeddings Models Amazon Titan Multimodal Embeddings G1 Model Amazon Titan Image Generator G1 Models Pricing Amazon Titan Cheat Sheet Amazon Titan models are a family of powerful, general-purpose models pre-trained by AWS on massive datasets. They are designed to be used out of the box or fine-tuned with your own data, allowing you to adapt them for specific tasks without the need to annotate large volumes of training data. The Titan family consists [...]

Amazon Titan2025-12-30T14:40:34+00:00

Methods in Evaluating Foundation Model Performance

2024-11-29T05:59:36+00:00

A foundation model is a large-scale, pre-trained artificial intelligence model that serves as a general-purpose system for various downstream tasks. These models, such as GPT for natural language processing or CLIP for vision-language understanding, are trained on extensive datasets and can be fine-tuned or adapted to specific applications. Foundation models are characterized by their ability to generalize across tasks, making them highly versatile and impactful in AI-driven solutions. Evaluating these models' performance is essential to understand their reliability, applicability, and potential business value. However, these models' vast scale and complexity pose unique challenges for evaluation, requiring a multifaceted approach. This article [...]

Methods in Evaluating Foundation Model Performance2024-11-29T05:59:36+00:00

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