AWS Machine Learning Blog

FEBRUARY 21, 2025

Evaluation and continuous learning The model customization and preference alignment is not a one-time effort. The concept of a compound AI system enables data scientists and ML engineers to design sophisticated generative AI systems consisting of multiple models and components.

LLM 79

LLM AI AI Data Scientist 79

Pickl AI

DECEMBER 12, 2024

Applications include healthcare automation, financial services, and customer support. Processing Engine : Using Machine Learning algorithms, they analyse the data to derive insights. By automating complex tasks that would typically require human intervention, LAMs streamline processes across various industries.

Data Analysis 52

Data Analysis Large Language Models Neural Network Automation 52

AWS Machine Learning Blog

MAY 9, 2024

Implementation and operationalization of a lifecycle management system such as MLOps can help automate deployment and monitoring, resulting in improved reliability, time to market, and observability. This requires establishing processes and systems across the AI/ML platform, ideally automated. Vikram Elango is a Sr.

ML 126

ML Generative AI AI AI 126

NVIDIA

DECEMBER 5, 2024

Rethinking industry infrastructure and urban planning: Nations and industries will begin examining how AI automates various aspects of the economy to maintain the current standard of living, even as the global population shrinks. Physical automation is going to happen gradually, in 10 years being as ubiquitous as the iPhone.

Generative AI 105

Generative AI Robotics AI AI 105

ODSC - Open Data Science

NOVEMBER 4, 2024

This post is meant to walk through some of the steps of how to take your LLMs to the next level, focusing on critical aspects like LLMOps, advanced prompt engineering, and cloud-based deployments. Automate this process to the extent possible by tightening up the loop between inference, feedback, evaluation, and training.

Prompt Engineer 52

Prompt Engineer Prompt Engineering BERT Large Language Models 52

AWS Machine Learning Blog

NOVEMBER 25, 2024

The key to their success lay in the innovative application of prompt engineering techniques—a set of strategies designed to coax the best performance out of LLMs, especially important for cost effective models. By carefully crafting prompts, we can provide context and structure that helps mitigate this variability.

Prompt Engineering 93

Prompt Engineering Prompt Engineer Metadata Generative AI 93

AWS Machine Learning Blog

DECEMBER 11, 2024

In this post, we illustrate the importance of generative AI in the collaboration between Tealium and the AWS Generative AI Innovation Center (GenAIIC) team by automating the following: Evaluating the retriever and the generated answer of a RAG system based on the Ragas Repository powered by Amazon Bedrock. or Claude Instant.

Generative AI 68

Generative AI Chatbots Prompt Engineer Prompt Engineering 68

ML @ CMU

DECEMBER 2, 2024

ICAL outperforms state-of-the-art models in tasks like instruction following, web navigation, and action forecasting, demonstrating its ability to improve performance without heavy manual prompt engineering. Is Your LiDAR Placement Optimized for 3D Scene Understanding?

Large Language Models 90

Large Language Models Computer Vision Deep Learning Machine Learning 90