Amazon Nova
Amazon has launched Amazon Nova, a suite of foundation models for generative AI, featuring understanding and creative models, customization options, and safety controls to enhance productivity and reduce costs.
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Amazon has introduced Amazon Nova, a new suite of foundation models designed to enhance generative AI capabilities while offering superior price performance. Available exclusively through Amazon Bedrock, these models aim to reduce costs and latency for various AI tasks, including document analysis, video understanding, and content generation. Amazon Nova features two main categories: understanding models and creative content generation models. The understanding models, such as Amazon Nova Micro, Lite, and Pro, are optimized for processing text, images, and videos, enabling tasks like summarization, translation, and visual question answering. The creative models, including Amazon Nova Canvas and Reel, focus on generating high-quality images and videos from text prompts and images. These models are equipped with customization capabilities, allowing enterprises to fine-tune them for specific industry needs. For instance, legal firms can adapt the models to better understand legal terminology. Additionally, built-in safety controls and watermarking features promote responsible AI use. The announcement highlights Amazon Nova's potential applications in various sectors, showcasing its ability to streamline workflows and enhance productivity through advanced AI functionalities.
- Amazon Nova is a new suite of foundation models for generative AI tasks.
- It offers understanding models for text, image, and video processing, and creative models for image and video generation.
- Customization capabilities allow enterprises to tailor models to specific industry needs.
- Built-in safety controls and watermarking promote responsible AI use.
- The models aim to reduce costs and latency while enhancing productivity across various applications.
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- Pricing comparisons with other models highlight Amazon Nova's competitive rates.
- Users express frustration with Amazon's complex jargon and product descriptions.
- Concerns about the lack of audio support in the models and its implications for multi-modal capabilities.
- Some users find the setup process for using Amazon Nova via Bedrock cumbersome.
- There are questions regarding the practical use cases and target audience for Amazon Nova.
28 comments Per 1k tokens Input | Output
Amazon Nova Micro: $0.000035 | $0.00014
Amazon Nova Lite: $0.00006 | $0.00024
Amazon Nova Pro: $0.0008 | $0.0032
Claude 3.5 Sonnet: $0.003 | $0.015
Claude 3.5 Haiku: $0.0008 | $0.0004
Claude 3 Opus: $0.015 | $0.075
Amazon is rapidly developing its own jargon such that you need to understand how Amazon talks about things (and its existing product lineup) before you can understand half of what they're saying about a new thing. The way they describe their products seems almost designed to obfuscate what they really do.
Every time they introduce something new, you have to click through several pages of announcements and docs just to ascertain what something actually is (an API, a new type of compute platform, a managed SaaS product?)
This is blowing my mind. gemini-1.5-flash accidentally knows how to transcribe amazingly well but it is -very- hard to figure out how to use it well and now Amazon comes out with a gemini flash like model and it explicitly ignores audio. It is so clear that multi-modal audio would be easy for these models but it is like they are purposefully holding back releasing it/supporting it. This has to be a strategic decision to not attach audio. Probably because the margins on ASR are too high to strip with a cheap LLM. I can only hope Meta will drop a mult-modal audio model to force this soon.
Thats a big thing for complience. All LLM-providers reserve the right to save (up to 30days) and inspect/check prompts for their own complience.
However, this means that company data is potentionally sotred out-of-cloud. This is already problematic, even more so when the storage location is outside the EU.
Does this mean they trained multiple copies of the models?
No match for Google's NotebookLM podcasts.
I wonder how fast it "glances" an entire 30 minute video and takes until the first returned token. Anyone wager a guess?
Right now when I see obviously AI generated images for book covers I take that as a signal of low quality. If AI generated videos continue to look this bad I think that'll also be a clear signal of low quality products.
When marketing talks about price delta and not quality of the output, it is DOA. For LLMs, quality is a more important metric and Nova would always try to play catch with the leaderboard forever.
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