Evaluating AI Agents: A Comprehensive Guide to Reliable Assessment
This post was co-authored with Karan Singh, Head of Partnerships at LangChain.
Understanding the Challenges of...
Comprehensive Observability for Large Language Models in Production with Amazon SageMaker AI Inference
Understanding the Importance of Observability in LLM Deployment
Two Dimensions of LLM Observability:...
Building an Azerbaijani Language Model: Optimizing Training with Open Source Tools and AWS
Acknowledgments
Introduction to the Challenge
Solution Overview
Stage 1: Tokenizer Development
Stage 2: Continued Pre-training (CPT)
Stage...
Navigating the Complex World of Medical Imaging: A Guide for Machine Learning Engineers
Understanding medical imaging concepts and the DICOM format can be daunting, especially...
Automating Audio Transcriptions with Amazon Bedrock and Amazon Transcribe: A Scalable Solution for Business Insights
In today's fast-paced business environment, audio recordings play a crucial...
Exploring Efficient Big Data Processing for Machine Learning Applications: Building a Data Pipeline
In this article, we explored the topic of big data processing for...
Customizing and Deploying Machine Learning Models at the Edge with Amazon SageMaker and Qualcomm AI Hub
In the ever-evolving world of technology, artificial intelligence and...
Self-Supervised Learning on Videos: A Deep Dive into Representation Learning
In the world of computer vision, transfer learning from pretrained models on ImageNet has become...
Transforming Video Metadata Management with AI: Lessons from DPG Media
The Power of AI in Enhancing Video Metadata: A Case Study with DPG Media
This post...
Optimizing Data Loading in Machine Learning: Batching, Prefetching, and Caching for Efficiency and Performance
Data preprocessing is a crucial aspect of building machine learning applications,...
Building a Multimodal Chat Assistant on AWS: A Step-by-Step Guide to Leveraging Amazon Bedrock Models
In the world of AI and chatbot development, recent advancements...