Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. However, the quality can be unreliable.

Data Extraction 268

Data Extraction Neural Network Large Language Models NLP 268

Pickl AI

JANUARY 26, 2025

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. billion in 2025 to USD 34.5

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

Towards AI

JULY 20, 2023

Natural Language Processing Getting desirable data out of published reports and clinical trials and into systematic literature reviews (SLRs) — a process known as data extraction — is just one of a series of incredibly time-consuming, repetitive, and potentially error-prone steps involved in creating SLRs and meta-analyses.

Data Extraction 98

Data Extraction NLP Natural Language Processing Automation 98

Unite.AI

FEBRUARY 23, 2024

The second course, “ChatGPT Advanced Data Analysis,” focuses on automating tasks using ChatGPT's code interpreter. teaches students to automate document handling and data extraction, among other skills. Key Features In-Depth Learning : From basic concepts to advanced skills in prompt engineering.

Prompt Engineering 267

Prompt Engineering Prompt Engineer Large Language Models ChatGPT 267

John Snow Labs

JUNE 27, 2023

In this section, we will provide an overview of two widely recognized LLMs, BERT and GPT, and introduce other notable models like T5, Pythia, Dolly, Bloom, Falcon, StarCoder, Orca, LLAMA, and Vicuna. BERT excels in understanding context and generating contextually relevant representations for a given text.

Large Language Models 52

Large Language Models BERT Natural Language Processing NLP 52

John Snow Labs

SEPTEMBER 24, 2024

Research And Discovery: Analyzing biomarker data extracted from large volumes of clinical notes can uncover new correlations and insights, potentially leading to the identification of novel biomarkers or combinations with diagnostic or prognostic value.

NLP 52

NLP Data Analysis Natural Language Processing BERT 52

Snorkel AI

OCTOBER 17, 2023

GM: Well before this training challenge, we had done a lot of work in organizing our data internally. We had spent a lot of time thinking about how to centralize the management and improve our data extraction and processing. Then, we had a lot of machine-learning and deep-learning engineers.

Large Language Models 64

Large Language Models NLP Prompt Engineer Prompt Engineering 64