Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Businesses can now easily convert unstructured data into valuable insights, marking a significant leap forward in technology integration.

Data Extraction 147

Data Extraction Neural Network Large Language Models Automation 147

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 81

Data Extraction NLP Natural Language Processing Automation 81

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

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. This 10-hour course, also highly rated at 4.8,

Prompt Engineer 272

Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

Viso.ai

MARCH 29, 2024

Pre-trained Language Models: Utilizing pre-trained language models like BERT or ELMo injects rich background knowledge into the NER process. GCNs have been combined with attention mechanisms and pre-trained models like BERT to leverage background knowledge and capture high-order features.

ML 52

ML Deep Learning NLP BERT 52

John Snow Labs

MAY 8, 2024

These early efforts were restricted by scant data pools and a nascent comprehension of pathological lexicons. As we navigate the complexities associated with integrating AI into healthcare practices our primary focus remains on using this technology to maximize its advantages while protecting rights and ensuring data privacy.

Large Language Models 40

Large Language Models Automation NLP Machine Learning 40

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. The work involved in training something like a BERT model and a large language model is very similar.

Large Language Models 64

Large Language Models NLP Prompt Engineer Prompt Engineering 64