How to Build Custom GPTs with 100% Accurate Answers

Video Description

🚀 Gumroad Link to Assets in Video: https://bit.ly/4gJr9CR 👉🏼Join the Early AI-dopters Community: https://bit.ly/3ZMWJIb 🌐 Visit My Agency Website: https://bit.ly/4cD9jhG 📅 Book a Paid Consultation: https://bit.ly/3Ml5AKW 🎬 Core Video Description In this video, we're tackling a common frustration with AI - getting accurate answers from your own documents. Forget about ChatGPT's hit-or-miss responses; we're diving into the world of Pinecone Assistant, a game-changer for document-specific AI interactions. Discover how to: Create a near-perfect knowledge base from your own files Get pinpoint accurate answers to complex document questions Integrate this system with custom GPTs for enhanced capabilities Set up a simple automation for streamlined document processing Whether you're new to AI or a seasoned pro, you'll learn practical, actionable techniques to revolutionize how you interact with your documents using AI. I guarantee you'll walk away with valuable insights that will transform your AI document queries. --- 👋 About Me: I'm Mark, owner of Prompt Advisers. For the past two years, we've been helping companies across industries integrate AI effectively into their workflows. With my experience in AI automation, I'm here to help you maximize the potential of your AI projects. Don't miss the special reveal at the end - a super simple Make automation that lets you upload files to Google Drive and get incredibly accurate responses in seconds! TIMESTAMPS ⏳ 0:00 Custom GPTs and their limitations with specific questions 0:06 Importance of getting accurate answers from AI 0:19 Introduction to Pinecone Assistant for better accuracy 0:25 Overview of how applications like GPT read documents 0:32 Demo of Pinecone Assistant use cases 0:45 How to build a basic app to improve custom GPTs 0:51 Automation for Google Drive integration with AI 1:04 Introduction: Mark from Prompt Advisers 1:16 Jumping into slides for a breakdown of document processing 1:22 Why solving this problem matters for all users 1:29 Document formats (PDF, Excel, etc.) and their limitations 1:43 How tools like ChatGPT work well for summaries, but not specifics 1:54 The challenge with very specific questions and accuracy 2:07 Crash course on how documents are processed by AI 2:21 Explaining chunking and vectorization of documents 3:02 Using vectors to map words and phrases 3:41 How AI ranks answers based on proximity in vector space 4:13 Example: Finding hours of operation from a menu 4:56 Example: Finding gluten-free options from a menu 5:20 Predictive text analogy for AI processing 5:44 How ChatGPT and other tools process documents (limitations) 6:10 Understanding proximity and keyword matching 7:03 Why ChatGPT and Claude use cheaper methods (impact on accuracy) 7:22 Specific questions and needle-in-a-haystack problem 7:59 Comparing AI to a glorified search function 8:23 Hallucination issues with LLMs in large documents 8:36 Introduction to Pinecone Assistant as a solution 9:00 How Pinecone Assistant works before reaching the LLM 9:30 Importance of grounded generation and real references 9:48 Example of using Pinecone Assistant with a credit card document 10:41 Walkthrough of Pinecone Assistant setup 11:05 Pinecone Assistant demo with document upload 12:27 Example: Dental pain coverage in a credit card statement 13:00 Example: Finding claim submission number in a document 13:38 Comparing Pinecone Assistant to GPT with large documents 14:42 Example: Finding a score in the World Economic Forum report 15:18 GPT's incorrect answer for a score in a large document 16:32 Example: Greece's sustainability score accuracy 17:05 Importance of Pinecone’s grounded responses 18:14 Uploading complex financial documents to Pinecone Assistant 19:05 Example: AI budget for Canada’s 2028 government spending 20:12 Comparing GPT’s incorrect response with Pinecone Assistant 20:43 How to hook Pinecone Assistant to custom GPTs 21:15 Step-by-step: Building a smarter custom GPT 22:14 API keys and code setup for Pinecone Assistant 24:05 Testing the integration with specific questions 26:15 Adding instructions for better responses with page references 27:03 Pro tip: Using GPT-4 over GPT-3.5 for better accuracy 28:32 Limitation of scanned PDFs and need for OCR for non-text PDFs 29:03 Automating updates with Google Drive and Pinecone 30:51 Running the Pinecone Assistant automation in real-time 31:29 Testing the automatic knowledge update with Pinecone 32:35 Summary of how Pinecone Assistant integrates with GPT and Google Drive 33:00 Using Pinecone Assistant for various services with API integration #PineconeAssistant #AIDocumentAnalysis #CustomGPT #AccurateAI #DocumentIntelligence #AIKnowledgeBase #MachineLearning #TechTutorial #AIInnovation #DataScience #AIAutomation