Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

AWS Big Data

FEBRUARY 1, 2024

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. Next, we use Amazon SageMaker JumpStart to fine-tune the Llama 2 model with the preprocessed dataset.

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. Fact: IBM built the world’s first data warehouse in the 1980’s. 2013: Google launches Google Compute Engine (IaaS), its own version of EC2. EC2 was a more evolved version of a Virtual Machine.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

CIO Business Intelligence

FEBRUARY 10, 2023

But for two years, we were testing limits within the public cloud.” Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud. “We spent about a year and a half going through several bottlenecks, taking them out one at a time with Amazon engineers.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105