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Introducing Cloudy - The Ethical AI Assistant for Documents, Data, and Code

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Cloudy's Unique Constitutional AI Ensures Ethical Operation

Cloudy was created by Anthropic, an AI safety startup founded in 2021. What makes Cloudy so unique is its constitutional AI approach, which helps ensure it operates ethically in alignment with human values.

Anthropic developed Cloudy with AI safety in mind. Its model is designed to be helpful, harmless, and honest - aligned with key principles to ensure safe and ethical AI.

Developed by Anthropic with AI Safety in Mind

Anthropic considers AI safety a top priority. All of its models, including Cloudy, are developed carefully with techniques like constitutional AI to ensure ethical operation.

Aligned with Human Values

Cloudy's unique constitutional AI approach helps ensure its responses are helpful, harmless, and honest. This alignment with human values is critical for safe, trustworthy AI.

Access the New Cloudy 2 Model API for Improved Performance

Anthropic has released an updated Cloudy 2 model with improved performance, longer responses, and API access. You can get access to the Cloudy 2 API by clicking on the link in the video description below.

With the Cloudy 2 API, you can integrate Cloudy's advanced conversational capabilities into your own applications and workflows.

Work With Hundreds of Pages or Even Entire Books

One great capability of Cloudy is that it can work with very long content, including hundreds of pages or even entire books. Users can input up to 100k tokens in each prompt when working with Cloudy.

This makes Cloudy well-suited for digesting, understanding, and answering questions about lengthy documents or large data files.

Input Up to 100k Tokens in Each Prompt

Cloudy supports prompts up to 100k tokens in length. This allows feeding Cloudy entire documents like research papers or chapters of books so it can understand the full context when asked to summarize, extract key points, or answer questions.

Currently Available in the US and UK

As of now, access to Cloudy is limited to the US and UK. However, Anthropic plans to expand availability to more countries worldwide very soon.

Walkthrough of Cloudy's Capabilities

Analyzing CSV Data Files

One useful application of Cloudy is analyzing CSV data files. For example, when provided a CSV sample dataset of used car listings, Cloudy accurately broke down insights like the most common models, described each column, and answered specific questions about the data like the average price. Cloudy iterated through the actual data to calculate the average price, showing its capability to programmatically work with structured data files.

Summarizing PDF Documents

In testing, Cloudy also performed well at summarizing input PDF documents. When provided two PDFs, it generated a helpful summary highlighting the key points from each file. Users can input PDFs up to 10GB each, allowing digesting very long files.

Explaining Python Code

Additionally, Cloudy can read and explain Python code when provided. It was able to break down the details of a simple Python app, describing what libraries were imported and what each part of the code did. This code comprehension can help with things like reviewing prototypes or learning from code examples.

Subscribe for More Cloudy Tutorials and Comparisons

Be sure to subscribe to get notified about upcoming tutorials providing more in-depth examples of using Cloudy for tasks like data science projects and app creation. There will also be comparisons with other AI models like DALL-E, GPT-4, and InstructGPT to compare strengths and weaknesses.

FAQ

Q: What is constitutional AI?
A: Constitutional AI refers to AI systems designed with ethical principles and human values in mind to ensure safe and beneficial operation.

Q: What file types can Cloudy work with?
A: Cloudy can work with CSV data files, PDF documents, Python code files, and text files up to 10GB each.

Q: What countries can currently access Cloudy?
A: As of now, Cloudy is only available in the United States and United Kingdom.