Racing into the future: How AWS DeepRacer fueled my AI and ML journey
In 2018, I sat in the audience at AWS re:Invent as Andy Jassy announced AWS DeepRacer—a fully autonomous 1/18th scale...
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Distributed Decentralized Training of Neural Networks: A Primer | by Robert Lange | Nov, 2024
As artificial intelligence advances, training large-scale neural networks, including large language models, has become increasingly critical. The growing size and...
Automate cloud security vulnerability assessment and alerting using Amazon Bedrock
Cloud technologies are progressing at a rapid pace. Businesses are adopting new innovations and technologies to create cutting-edge solutions for...
Increasing Transformer Model Efficiency Through Attention Layer Optimization | by Chaim Rand | Nov, 2024
How paying “better” attention can drive ML cost savingsPhoto by Andrew Seaman on UnsplashIntroduced in the landmark 2017 paper “Attention...
Build cost-effective RAG applications with Binary Embeddings in Amazon Titan Text Embeddings V2, Amazon OpenSearch Serverless, and Amazon Bedrock Knowledge Bases
Today, we are happy to announce the availability of Binary Embeddings for Amazon Titan Text Embeddings V2 in Amazon Bedrock...
Excel Spreadsheets Are Dead for Big Data. Companies Need More Python Instead. | by Ari Joury, PhD | Nov, 2024
OpinionData is getting too complicated for Excel to keep upPython is taking over what used to be Excel-dominated terrains. Image...
Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI
Principal is a global financial company with nearly 20,000 employees passionate about improving the wealth and well-being of people and...
Spoiler Alert: The Magic of RAG Does Not Come from AI | by Frank Wittkampf | Nov, 2024
Why retrieval, not generation, makes RAG systems magicalQuick POCsMost quick proof of concepts (POCs) which allow a user to explore...
Fine-tune multimodal models for vision and text use cases on Amazon SageMaker JumpStart
In the rapidly evolving landscape of AI, generative models have emerged as a transformative technology, empowering users to explore new...
How to Reduce Python Runtime for Demanding Tasks | by Jiayan Yin | Nov, 2024
Practical techniques to accelerate heavy workloads with GPU optimization in PythonPhoto by Mathew Schwartz on UnsplashOne of the biggest challenges...
How GoDaddy built Lighthouse, an interaction analytics solution to generate insights on support interactions using Amazon Bedrock
This post is co-written with Mayur Patel, Nick Koenig, and Karthik Jetti from GoDaddy. GoDaddy empowers everyday entrepreneurs by providing...
Why Most Cross-Validation Visualizations Are Wrong (And How to Fix Them) | by Samy Baladram | Nov, 2024
MODEL VALIDATION & OPTIMIZATIONStop using moving boxes!10 min read·16 hours agoYou know those cross-validation diagrams in every data science tutorial?...
Cohere Embed multimodal embeddings model is now available on Amazon SageMaker JumpStart
The Cohere Embed multimodal embeddings model is now generally available on Amazon SageMaker JumpStart. This model is the newest Cohere...
Open the Artificial Brain: Sparse Autoencoders for LLM Inspection | by Salvatore Raieli | Nov, 2024
|LLM|INTERPRETABILITY|SPARSE AUTOENCODERS|XAI|A deep dive into LLM visualization and interpretation using sparse autoencodersImage created by the author using DALL-EAll things are...
From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2
In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs)...
