Claude 3.7 Sonnet API | Build a Research Assistant скачать в хорошем качестве

Claude 3.7 Sonnet API | Build a Research Assistant

In this video, we show you how to use the Claude 3.7 Sonnet API to build a multimodal research assistant that can process multiple PDFs, synthesize research, and provide insights for future studies. We walk through API setup, document processing, and implementing advanced reasoning capabilities with Claude 3.7 Sonnet. You’ll learn: How to access the Anthropic API and configure it in Google Colab How to extract and process PDFs using PyPDF2 How to utilize Claude 3.7’s thinking mode for in-depth analysis How to build an interactive research assistant using Gradio By the end of this tutorial, you’ll have a functional AI-powered research assistant that can streamline document review and analysis. 🔗 Resources & Tutorials Colab Notebook: https://colab.research.google.com/dri... Our video on Claude 3.7 & Claude Code:    • Claude 3.7 + Claude Code | The End of...   Programming with Claude 3.7 API: https://www.datacamp.com/tutorial/cla... Learn more about Claude 3.7: https://www.datacamp.com/blog/claude-... Claude Code Research Preview: https://docs.anthropic.com/en/docs/ag... Learn AI & Data Science with DataCamp: https://bit.ly/4hFUdvk 📕 Chapters 00:00 Introduction 00:20 What is Claude 3.7 Sonnet? 00:57 Overview of the Research Assistant Project 01:35 Required Libraries & Setup 03:02 Installing and Importing Dependencies 03:42 Getting Access to the Anthropic API 05:25 Understanding Claude Model Versions 06:05 Connecting to Claude 3.5 for Initial Testing 07:19 Sending a Simple API Request 08:26 Understanding Multimodal Capabilities 09:00 Processing PDFs with Claude API 11:31 Extracting Text from PDFs for AI Analysis 13:41 Structuring API Requests for Documents 16:36 Handling API Responses 17:00 Introducing Claude 3.7’s Streaming Mode 18:16 Streaming Responses for Enhanced Reasoning 21:12 Parsing & Cleaning the API Output 23:54 Improving Response Readability 25:05 Extracting Thought Process & Final Response 26:06 Demonstrating Claude 3.7’s Coding Abilities 27:19 Testing a Complex Coding Prompt 29:04 Debugging & Fixing Code Generation Issues 31:02 Evaluating Code Output 32:01 Building the Research Assistant with Gradio 32:41 Extracting Insights from Research Papers 34:22 Formatting & Preparing Paper Data 37:43 Creating an AI-Powered Research Summarizer 39:12 Running the Model & Processing Outputs 40:06 Setting Up the Gradio Web App 42:29 Uploading & Testing with Sample PDFs 45:11 Debugging Common Issues 47:03 Reviewing the Final AI Research Summaries 48:12 Future Enhancements & Next Steps 48:53 Final Thoughts & Closing Remarks 📱 Follow Us on Social Media Facebook:   / datacampinc   Twitter:   / datacamp   LinkedIn:   / datacampinc   Instagram:   / datacamp   #Claude3 #ClaudeAPI #AIResearch #ResearchAssistant #Anthropic #MachineLearning #Gradio #AIApplications #DeepLearning