NVIDIA

JANUARY 9, 2024

With the highest potential for AI and analytics among all industries , the retail and consumer packaged goods (CPG) sectors are poised to harness the power of AI to enhance operational efficiency, elevate customer and employee experiences and drive growth.

Generative AI 108

Generative AI AI AI Automation 108

NVIDIA

JANUARY 9, 2024

They’re capable of processing, understanding and generating content and images from multiple sources such as text, image, video and 3D rendered assets. With NVIDIA NeMo , an end-to-end platform for large language model development, retailers can customize and deploy their models at scale using the latest state-of-the-art techniques.

Generative AI 102

Generative AI Large Language Models Chatbots AI 102

The MLOps Blog

AUGUST 4, 2023

However, unless you are operating at a prohibitively large scale or are dealing with top-secret missions, I would argue that – at least when it comes to my area of expertise, the machine learning projects – a monorepo is a good architecture choice in most cases. That could be time-consuming and expensive at scale. as the output.

ML 52

ML Machine Learning Python Software Engineer 52

Snorkel AI

MAY 25, 2023

Table of contents What are large language models (LLMs)? It had some good moments but also some flaws: Neutral The movie was great. This can be done in several ways—the easiest of which is to use Grammarly or one of several other consumer-focused, LLM-backed services aimed at this task. But what are large language models?

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

Table of contents What are large language models (LLMs)? It had some good moments but also some flaws: Neutral The movie was great. This can be done in several ways—the easiest of which is to use Grammarly or one of several other consumer-focused, LLM-backed services aimed at this task. But what are large language models?

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

AWS Machine Learning Blog

JANUARY 9, 2023

Additionally, in some cases, the generated inferences may need to be processed further, so that they can be easily consumed by downstream applications. They’re a good option for intermittent or infrequent traffic patterns. Batch inference tasks are usually good candidates for horizontal scaling. Traffic pattern. Throughput.

ML 72

ML Auto-complete Auto-classification Deep Learning 72