Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality
Frontier large language models (LLMs) like Anthropic Claude on Amazon Bedrock are trained on vast amounts of data, allowing Anthropic...
AI Relationships
You Don’t Need an LLM Agent. The Why & The Alternative | by Louis Chan | Jul, 2024
OpinionAnd what you might actually want insteadPeople anchor their eyes on the next shiny thing. FOMO is part of human...
A progress update on our commitment to safe, responsible generative AI
Responsible AI is a longstanding commitment at Amazon. From the outset, we have prioritized responsible AI innovation by embedding safety,...
How to Deliver Successful Data Science Consulting Projects | by Hans Christian Ekne | Jul, 2024
Given the above similarities and differences between data science consulting and other classes of consulting, it is natural to ask...
Empowering everyone with GenAI to rapidly build, customize, and deploy apps securely: Highlights from the AWS New York Summit
Imagine this—all employees relying on generative artificial intelligence (AI) to get their work done faster, every task becoming less mundane...
Reinforcement Learning, Part 5: Temporal-Difference Learning | by Vyacheslav Efimov | Jul, 2024
Intelligently synergizing dynamic programming and Monte Carlo algorithms15 min read·11 hours agoReinforcement learning is a domain in machine learning that...
Automating model customization in Amazon Bedrock with AWS Step Functions workflow
Large language models have become indispensable in generating intelligent and nuanced responses across a wide variety of business use cases....
Python + Google Earth Engine. How to clean MapBiomas LULC rasters for… | by Vinícius Hector | Jul, 2024
# 1. Project SetupFirst of all, we need to load libraries. Make sure all of them are properly installed. Also,...
Create custom images for geospatial analysis with Amazon SageMaker Distribution in Amazon SageMaker Studio
Amazon SageMaker Studio provides a comprehensive suite of fully managed integrated development environments (IDEs) for machine learning (ML), including JupyterLab,...
From Data Science Manager to Individual Contributor: Lessons Learned
The three questions I asked myself that helped me pick my career pathPhoto by Robert Ruggiero on UnsplashAs you gain...
How BRIA AI used distributed training in Amazon SageMaker to train latent diffusion foundation models for commercial use
This post is co-written with Bar Fingerman from BRIA AI. This post explains how BRIA AI trained BRIA AI 2.0,...
Gower’s Distance for Mixed Categorical and Numerical Data | by Haden Pelletier | Jul, 2024
A distance measure for clustering mixed dataMost likely you have heard of Manhattan distance or Euclidean distance. These are two...
Improve RAG accuracy with fine-tuned embedding models on Amazon SageMaker
Retrieval Augmented Generation (RAG) is a popular paradigm that provides additional knowledge to large language models (LLMs) from an external...
Running Local LLMs is More Useful and Easier Than You Think
A step-by-step guide to run Llama3 locally with PythonImage generated by AI by AuthorChatGPT is great, no doubt about that,...
Using Agents for Amazon Bedrock to interactively generate infrastructure as code
In the diverse toolkit available for deploying cloud infrastructure, Agents for Amazon Bedrock offers a practical and innovative option for...
