Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents
Hallucinations in large language models (LLMs) refer to the phenomenon where the LLM generates an output that is plausible but...
AI Relationships
Neuromorphic Computing — an Edgier, Greener AI | by Jonathan R. Williford, PhD | Nov, 2024
Why computer hardware and AI algorithms are being reinvented using inspiration from the braineuromorphic Computing might not just help bring...
Unleash your Salesforce data using the Amazon Q Salesforce Online connector
Thousands of companies worldwide use Salesforce to manage their sales, marketing, customer service, and other business operations. The Salesforce cloud-based...
Addressing Missing Data. Understand missing data patterns (MCAR… | by Gizem Kaya | Nov, 2024
Understand missing data patterns (MCAR, MNAR, MAR) for better model performance with MissingnoIn an ideal world, we would like to...
AWS achieves ISO/IEC 42001:2023 Artificial Intelligence Management System accredited certification
Amazon Web Services (AWS) is excited to be the first major cloud service provider to announce ISO/IEC 42001 accredited certification...
Every Step of the Machine Learning Life Cycle Simply Explained | by Haden Pelletier | Nov, 2024
A comprehensive guide to the ML life cycle, step by step with examples in PythonThe machine learning life cycle. Image...
Deploy Meta Llama 3.1 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium
We’re excited to announce the availability of Meta Llama 3.1 8B and 70B inference support on AWS Trainium and AWS...
Trapped in the Net: Where is a Foundation Model for Graphs? | by Salvatore Raieli | Nov, 2024
|LLM|TRANSFORMER|FOUNDATION MODEL|GRAPH|NETWORK|Disconnected from the other modalities graphs wait for their AI revolution: is it coming?Image created by the author using...
Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale
This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. To view this...
Perform outlier detection more effectively using subsets of features | by W Brett Kennedy | Nov, 2024
Identify relevant subspaces: subsets of features that allow you to most effectively perform outlier detection on tabular dataThis article is...
Improve factual consistency with LLM Debates
In this post, we demonstrate the potential of large language model (LLM) debates using a supervised dataset with ground truth....
The Difference Between ML Engineers and Data Scientists | by Egor Howell | Nov, 2024
Helping you decide whether you want to be a data scientist or machine learning engineerPhoto by Mohammad Rahmani on UnsplashA...
Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3)
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies...
Data Science in Marketing: Hands-on Propensity Modelling with Python | by Rebecca Vickery | Nov, 2024
All the code you need to predict the likelihood of a customer purchasing your productPhoto by Campaign Creators on UnsplashPropensity...
Orchestrate generative AI workflows with Amazon Bedrock and AWS Step Functions
Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized...
