How to Fine-Tune Foundation Models in Amazon Bedrock | Custom AI with Your Data скачать в хорошем качестве

How to Fine-Tune Foundation Models in Amazon Bedrock | Custom AI with Your Data

=================================================================== 1. SUBSCRIBE FOR MORE LEARNING :    / @cloudquicklabs   =================================================================== 2. CLOUD QUICK LABS - CHANNEL MEMBERSHIP FOR MORE BENEFITS :    / @cloudquicklabs   =================================================================== 3. BUY ME A COFFEE AS A TOKEN OF APPRECIATION : https://www.buymeacoffee.com/cloudqui... =================================================================== 🚀 Fine-Tuning Foundation Models in Amazon Bedrock | Customize AI with Your Business Data In this step-by-step tutorial, I’ll show you how to fine-tune foundation models in Amazon Bedrock so you can build custom AI solutions trained on your own business data. Whether you’re working with customer support data, industry-specific documents, or domain knowledge, fine-tuning in Bedrock helps you adapt large foundation models (FMs) to your unique use cases without needing deep ML expertise. 🔹 What You’ll Learn in This Video: ✅ What is Amazon Bedrock and why it matters for generative AI ✅ The difference between fine-tuning and prompt engineering ✅ How to prepare your business data for fine-tuning ✅ Step-by-step process to fine-tune a foundation model in Bedrock ✅ Real-world examples of custom AI use cases (chatbots, search, automation) ✅ Best practices, limitations, and cost considerations 🔹 Why Fine-Tune Models in Amazon Bedrock? No infrastructure management – fully serverless Supports multiple FMs from providers like Anthropic, Meta, Cohere, and Amazon Titan Easily integrate with AWS services like S3, Lambda, and SageMaker Enhance accuracy & relevance for your business applications 📌 Who is This For? Cloud Engineers & Architects AI/ML Enthusiasts AWS Developers Anyone who wants to customize AI models for enterprise or personal projects. Repo Link : https://github.com/RekhuGopal/PythonH... #amazonbedrock #generativeai #aws #finetuning #foundationmodels #ai #machinelearning #cloudquicklabs #customai #awsbedrock Disclaimer: Unauthorized copying, reproduction, or distribution of this video content, in whole or in part, is strictly prohibited. Any attempt to upload, share, or use this content for commercial or non-commercial purposes without explicit permission from the owner will be subject to legal action. All rights reserved.