AWS Machine Learning Blog

OCTOBER 24, 2023

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

IDP 139

IDP LLM Prompt Engineering Prompt Engineer 139

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. Named Entity Recognition ( NER) Named entity recognition (NER), an NLP technique, identifies and categorizes key information in text.

Data Extraction 273

Data Extraction Neural Network Large Language Models NLP 273

Unite.AI

JANUARY 2, 2024

Large Language Models (LLMs) have contributed to advancing the domain of natural language processing (NLP), yet an existing gap persists in contextual understanding. This involves matching the user's input with relevant documents, ensuring access to accurate and current information.

LLM 243

LLM Large Language Models Chatbots Natural Language Processing 243

Ehud Reiter

DECEMBER 19, 2023

Papers mentioned in blogs I have talked about some of the 2023 papers which impressed me in previous blogs, including What LLMs cannot do A bad way to measure hallucination LLM hype brings memories of IBM Watson Future of NLG evaluation: LLMs and high quality human eval? Which is great! D Demszky et al (2023). Proc of WMT-2023.

NLP 129

NLP Large Language Models LLM ChatGPT 129

John Snow Labs

AUGUST 22, 2023

John Snow Labs , the award-winning Healthcare AI and NLP company, announced the latest major release of its Spark NLP library – Spark NLP 5 – featuring the highly anticipated support for the ONNX runtime. State-of-the-Art Accuracy, 100% Open Source The Spark NLP Models Hub now includes over 500 ONYX-optimized models.

NLP 98

NLP LLM BERT Chatbots 98

AWS Machine Learning Blog

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

Metadata 132

Metadata LLM NLP Conversational AI 132

Analytics Vidhya

MAY 5, 2023

A researcher within Google leaked a document on a public Discord server recently. There is much controversy surrounding the document’s authenticity. Discord is an open-source community platform. Many other groups also use it, but Discord is primarily designed for communities of gamers to facilitate voice, video, and text chat.

Large Language Models 336

Large Language Models LLM NLP 336

Marktechpost

NOVEMBER 1, 2024

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. However, NLP for Hindi still needs to be improved, mainly due to a need for high-quality Hindi data and language-specific models. The researchers used AdamW optimization with a learning rate of 1.5e-5

Large Language Models 128

Large Language Models NLP Natural Language Processing Artificial Intelligence 128

Marktechpost

SEPTEMBER 27, 2024

As the volume of unstructured data grows in various fields, including healthcare, legal, and finance, the demand for efficient, accurate document processing solutions increases. Traditional approaches to handling this data are often inefficient, time-consuming, and prone to errors, especially when documents contain ambiguity or noise.

LLM 126

LLM Natural Language Processing Large Language Models Automation 126

AWS Machine Learning Blog

AUGUST 21, 2024

Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. By using the solution, clinicians don’t need to spend additional hours documenting patient encounters. This blog post focuses on the Amazon Transcribe LMA solution for the healthcare domain.

LLM 122

LLM Automation ML Generative AI 122

Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

Unite.AI

JANUARY 10, 2024

By integrating the sophisticated language processing capabilities of models like ChatGPT with the versatile and widely-used Scikit-learn framework, Scikit-LLM offers an unmatched arsenal for delving into the complexities of textual data. Why Scikit-LLM? and the user-friendly environment of Scikit-learn. Installation %%capture !pip

Large Language Models 113

Large Language Models LLM Machine Learning Python 113

AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Layout is a new feature that allows customers to automatically extract layout elements such as paragraphs, titles, subtitles, headers, footers, and more from documents.

Generative AI 122

Generative AI LLM AI AI 122

Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have extended their capabilities to different areas, including healthcare, finance, education, entertainment, etc. These models have utilized the power of Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision to dive into almost every industry.

Large Language Models 132

Large Language Models LLM Machine Learning Natural Language Processing 132

Analytics Vidhya

NOVEMBER 3, 2023

Human-like conversational skills of LLMs combined with vector retrieval methods make it much easier to extract answers from large documents. Introduction Question and answering on custom data is one of the most sought-after use cases of Large Language Models.

Chatbots 306

Chatbots Large Language Models LLM NLP 306

ODSC - Open Data Science

OCTOBER 27, 2023

Companies in sectors like healthcare, finance, legal, retail, and manufacturing frequently handle large numbers of documents as part of their day-to-day operations. These documents often contain vital information that drives timely decision-making, essential for ensuring top-tier customer satisfaction, and reduced customer churn.

IDP 98

IDP LLM Large Language Models AI 98

Marktechpost

SEPTEMBER 14, 2024

A major challenge in the current deployment of Large Language Models (LLMs) is their inability to efficiently manage tasks that require both generation and retrieval of information. The technical foundation of OneGen involves augmenting the standard LLM vocabulary with retrieval tokens.

LLM 128

LLM Large Language Models AI AI 128

AWS Machine Learning Blog

NOVEMBER 25, 2024

Today, we are excited to announce that John Snow Labs’ Medical LLM – Small and Medical LLM – Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart. Medical LLM in SageMaker JumpStart is available in two sizes: Medical LLM – Small and Medical LLM – Medium.

LLM 116

LLM NLP Machine Learning ML 116

AssemblyAI

JANUARY 12, 2024

Semantic Kernel Semantic Kernel is an SDK for multiple programming languages that helps users develop applications with LLMs. However, as with LangChain, users must first convert speech data to text in order to interact with the LLM.    This Semantic Kernel Integration makes this transcription step easier.   8.

Large Language Models 275

Large Language Models Python Natural Language Processing NLP 275

John Snow Labs

AUGUST 21, 2023

We are delighted to announce a suite of remarkable enhancements and updates in our latest release of Healthcare NLP. With the integration of a state-of-the-art LLM, this annotator opens new possibilities for enhanced data retrieval and manipulation, streamlining your workflow and boosting efficiency. setInputCols(["document"]).setOutputCol("sql")

NLP 98

NLP Categorization Natural Language Processing Automation 98

Marktechpost

OCTOBER 8, 2024

Document and Line-Level Filtering : Heuristics were used to remove documents and lines that did not meet quality benchmarks. High-Quality Sources After the filtering process, LLM360 added handpicked, high-quality corpora, including scientific papers, legal documents, classic books, and curated Wikipedia content.

LLM 117

LLM Large Language Models NLP Data Integration 117

AssemblyAI

MAY 3, 2023

For example, a pre-trained LM could be fine-tuned on a collection of legal documents to facilitate tasks like understanding and summarization of legal agreements. A language model can be fine-tuned on medical documents in order to be utilized for specialized tasks in the medical domain. Et voilà !

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

JUNE 6, 2023

The potential of LLMs is being pushed closer and closer toward Artificial General Intelligence thanks to these models’ outstanding performance in in-context learning, code generation, and various other NLP tasks. LLMs must provide extensive blueprints before using these techniques to solve complicated problems.

Large Language Models 116

Large Language Models Neural Network LLM ChatGPT 116

Unite.AI

OCTOBER 27, 2024

Developers can easily connect their applications with various LLM providers, databases, and external services while maintaining a clean and consistent API. The framework's cross-platform support and extensive documentation make it an excellent choice for developers building sophisticated real-time AI applications. TensorFlow.js

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Unite.AI

JANUARY 11, 2024

Text embeddings are vector representations of words, sentences, paragraphs or documents that capture their semantic meaning. They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more.

Large Language Models 147

Large Language Models Prompt Engineering Prompt Engineer BERT 147

AWS Machine Learning Blog

MAY 24, 2023

Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.

IDP 93

IDP LLM Automation Generative AI 93

Unite.AI

APRIL 15, 2024

When it comes to natural language processing (NLP) and information retrieval, the ability to efficiently and accurately retrieve relevant information is paramount. Retrieval : The system queries a vector database or document collection to find information relevant to the user's query.

BERT 162

BERT Large Language Models Natural Language Processing NLP 162

Marktechpost

MAY 9, 2024

In Natural Language Processing (NLP) tasks, data cleaning is an essential step before tokenization, particularly when working with text data that contains unusual word separations such as underscores, slashes, or other symbols in place of spaces. The post Is There a Library for Cleaning Data before Tokenization?

NLP 124

NLP Natural Language Processing Metadata Large Language Models 124

John Snow Labs

AUGUST 29, 2023

It’s a well-established principle: any LLM, whether open-source or proprietary, isn’t dependable without a RAG. And truly, there can’t be an effective RAG without an NLP library that is production-ready, natively distributed, state-of-the-art, and user-friendly. We’re excited to unveil Spark NLP 5.1

NLP 98

NLP OpenAI BERT LLM 98

IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). Even as code produced by generative AI and LLM technologies becomes more accurate, it can still contain flaws and should be reviewed, edited and refined by people.

Auto-complete 247

Auto-complete Generative AI Neural Network Artificial Intelligence 247

AWS Machine Learning Blog

OCTOBER 17, 2023

We start by highlighting the overall experience of the customer care agent with the addition of the large language model (LLM)-based chatbot. The LLM-based Q&A chatbot The following figure shows the process flow of a patient contacting Amazon Pharmacy customer care via chat (Step 1). Finally, we describe the product architecture.

LLM 131

LLM Chatbots Explainability Generative AI 131

Marktechpost

APRIL 29, 2024

These state-of-the-art Large Language Models (LLMs) have the potential to completely transform medical natural language processing (NLP) by establishing new standards for functionality and performance in the biomedical field. The release of these models marks a substantial advancement in medical-domain LLM technology.

Large Language Models 143

Large Language Models NLP Natural Language Processing LLM 143

IBM Journey to AI blog

AUGUST 1, 2023

Foundation models can be trained to perform tasks such as data classification, the identification of objects within images (computer vision) and natural language processing (NLP) (understanding and generating text) with a high degree of accuracy. An open-source model, Google created BERT in 2018. All watsonx.ai

Generative AI 189

Generative AI BERT Data Scientist Machine Learning 189

Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. When a user asks a question, it searches the vector database and retrieves documents that are most similar to the user’s query.

Auto-complete 167

Auto-complete LLM Machine Learning Natural Language Processing 167

Marktechpost

FEBRUARY 28, 2024

Financial documents are usually laden with complex numerical data and very specific terminology and jargon, which presents a challenge for existing Natural Language Processing (NLP) models. FinTral employs a multimodal approach, processing textual, numerical, tabular, and visual data to navigate the complexities of financial documents.

Large Language Models 131

Large Language Models NLP Natural Language Processing LLM 131

Unite.AI

AUGUST 9, 2024

Both products use artificial intelligence and some of the most advanced Large Language Models (LLM) available today. While it lacks real-time updates, image generation , and Internet connectivity, its unique Projects feature allows you to organize documents , code, and place files into themed collections for easy reference.

ChatGPT 278

ChatGPT AI AI AI Chatbots 278

Unite.AI

DECEMBER 11, 2023

The announcement of Google Gemini, nestled closely after the debut of Bard, Duet AI, and the PaLM 2 LLM, marks a clear intention from Google to not only compete but lead in the AI revolution. Power of Multimodality: At its core, Gemini utilizes a transformer-based architecture, similar to those employed in successful NLP models like GPT-3.

AI 335

AI AI Neural Network Large Language Models 335