Easy AI Python Projects - Getting Started with Claude 2.1 API
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- čas přidán 29. 06. 2024
- In this Easy AI Python Projects series, I go over how you can get started with the new Claude 2.1 mode in Python. We'll start off by taking a detailed look at the documentation to understand the AI model. We will then build out this easy ai python project to interact with the Anthropic API to submit a prompt, calculate the tokens, use system prompts and get back a streaming response.
This is the perfect tutorial for getting started with AI in Python. I love teaching Python with Projects so if that's something you're interested in, make sure you subscribe!
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I'm Imdad, a startup founder and CTO in London, UK. I love making videos about life as a technical cofounder, teaching people to code through cool programming projects and productivity.
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00:00 What we're building
1:15 Explaining the Claude API & Model
12:40 Setting up our project
23:17 System prompts in Claude 2.1
25:56 Running the code
28:52 What next?
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Great video dude 😁😁
Thanks man!
Really thanks for this
Thank you! I'm releasing the Claude 3 API tutorial in a few days hopefully :)
How can we achieve response formatting like that of Claude and GPT, including bullet points, code, space, numbering, etc.?
and can we attach the file to an API if yes how can we do that do we need to send the buffer of it?
Great explanation!
Thanks!
The formatting you have to yourself unfortunately. E.g. process the `
` characters that come back in the response stream.
For sending an image to the API, I think you'd have to send the image as a base64 string. Not sure if they've added anything new to their Python SDK (as they're releasing often). I'm making a dedicated video for how you can send prompts and images so stay tuned for that!
Great video! thank you so much!
I wanted to ask, especially with large system promts that contain a lot of data. Isn't that system promt going to be reapeatedly inculdet in my token 'cost'?
As far as I understand it, in a longer conversation, I'm going to need to resend all that data for each conversational turn while continuosly adding to the historic conversation?
So if I want a AI--Assistant that has to regularily answer questions based on knowledge gathered from a large DataBase, will that be incedibly expensive?