AWS Machine Learning Blog

APRIL 27, 2023

Recent large language models (LLMs) have enabled tremendous progress in natural language understanding. Instead of collecting the reasoning chains from scratch by asking humans, we instead learn from rich human feedback on model-generated reasoning chains using the prompting abilities of the LLMs.

Machine Learning 65

Machine Learning Machine Learning Natural Language Processing Algorithm 65

Iguazio

OCTOBER 24, 2023

Sessions will be spread across multiple tracks: NLP and LLMs, MLOps, Generative AI, Machine Learning, Responsible AI, and more. As can be expected, LLMs and Generative AI are attracting a lot of attention this year, and our list includes sessions about those topics as well. Causality and LLMs Wed., 30 to Nov.

Machine Learning 52

Machine Learning Machine Learning Data Scientist AI 52

AWS Machine Learning Blog

NOVEMBER 14, 2023

In the era of big data and AI, companies are continually seeking ways to use these technologies to gain a competitive edge. At the core of these cutting-edge solutions lies a foundation model (FM), a highly advanced machine learning model that is pre-trained on vast amounts of data.

ML 89

ML ML AWS SQL 89

AWS Machine Learning Blog

APRIL 1, 2024

Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. We demonstrate this through a step-by-step implementation of training 7B, 13B, and 70B Llama2 models using Amazon EKS with 16 Amazon Elastic Compute Cloud (Amazon EC2) p4de.24xlarge

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Clustering AWS ML ML 104

Hacker News

MAY 3, 2023

Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives. We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning.

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Supervised Learning Natural Language Processing AI AI 181

AWS Machine Learning Blog

SEPTEMBER 21, 2023

To add to our guidance for optimizing deep learning workloads for sustainability on AWS , this post provides recommendations that are specific to generative AI workloads. Although this post primarily focuses on large language models (LLM), we believe most of the recommendations can be extended to other foundation models.

AI 100

AI AI AWS Deep Learning 100

AWS Machine Learning Blog

NOVEMBER 30, 2023

Research shows that not only do risks for bias and toxicity transfer from pre-trained foundation models (FM) to task-specific generative AI services, but that tuning an FM for specific tasks, on incremental datasets, introduces new and possibly greater risks. What is FMEval?

Algorithm 88

Algorithm AWS ML ML 88