Run Claude 2.1 with an API

Introduction

Claude 2.1 is the most recent iteration of the anthropic language mannequin. This mannequin introduces important enhancements over its predecessor, Claude 2.0, with a give attention to increasing the context window and lowering hallucination charges.

Claude 2.1 introduces a number of developments to deal with the evolving wants of enterprises. Key options embody:

200K Context Window

Claude 2.1 offers 200K token context window, doubling the quantity of data it will possibly course of. This permits customers to work together with longer paperwork, together with technical documentation, monetary statements, and in depth literary works. The prolonged context window facilitates improved summarization, Q&A, pattern forecasting, and extra.

2x Lower in Hallucination Charges

With a 2x lower in false statements in comparison with Claude 2.0, Claude 2.1 demonstrates elevated honesty and reliability. This discount in hallucination charges enhances the trustworthiness of AI purposes, making it appropriate for fixing concrete enterprise issues and deploying AI throughout varied operations.

Enhancements in Comprehension and Summarization

Claude 2.1 reveals a 30% discount in incorrect solutions and a 3-4x decrease charge of mistakenly concluding a doc helps a specific declare. These enhancements are notably useful for dealing with lengthy, complicated paperwork corresponding to authorized texts, monetary stories, and technical specs.

Run Claude 2.1 with an API

Claude 2.1 is on Clarifai and you may run the mannequin with an API utilizing Clarifai’s Python SDK.

Export your Private Entry Token(PAT) as an setting variable. Discover your PAT in safety settings.

export CLARIFAI_PAT={your private entry token}

You can too run Claude 2.1 API utilizing different Clarifai Consumer Libraries like Javascript, Java, cURL, NodeJS, PHP, and so forth right here.

Check out the Claude 2.1 mannequin within the Clarifai Platform right here: clarifai.com/anthropic/completion/fashions/claude-2_1

Prompting Methods for Claude 2.1

Prompting Claude 2.1 successfully with its expanded 200K context window includes issues much like these for the 100K context window, with a vital distinction:

Enter Sorts

Inputs for Claude 2.1 can take varied kinds, together with however not restricted to:

• Pure Language Textual content: Prose, stories, articles, books, essays, and so forth.
• Structured Paperwork: Kinds, questionnaires, tables, lists.
• Code Snippets
• RAG Outcomes: Chunked paperwork and search snippets.
• Conversational Textual content: Transcripts, chat historical past (prompts and responses), questions, and solutions.

Correct Immediate Structuring Examples

Dangerous Immediate:

Human: What do these tutorial papers say about the way forward for AI improvement?

<papers>

</papers>

Assistant:

Good Immediate:

Human: Listed below are some tutorial papers. Learn these papers rigorously, as you may be requested questions on them.

<papers>

</papers>

What do these papers say about the way forward for AI improvement?

Assistant:

Notice

This construction helps be sure that your supply paperwork & inputs seem within the immediate earlier than your person question. This input-before-query ordering is important to eliciting good efficiency from Claude 2.1.

Use Instances

Claude 2.1’s developments open up new use instances, together with:

• Longer-Kind Content material: With its expanded context window, Claude 2.1 excels in processing longer-form content material, making it appropriate for duties involving in depth paperwork like codebases, monetary statements, and literary works.
• RAG (Retrieval-Augmented Era): The elevated context window enhances capabilities for retrieval-augmented technology, permitting for extra refined reasoning and content material technology.
• Dealing with extra complicated reasoning, dialog, and discourse over prolonged contexts.

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