Analytics Vidhya

MAY 19, 2024

By leveraging natural language processing (NLP) and machine learning, conversational AI systems can understand and respond to human language, creating more engaging and efficient interactions.

Automation 306

Automation Natural Language Processing Conversational AI Machine Learning 306

Analytics Vidhya

JANUARY 24, 2024

However, in 2018, the “Universal Language Model Fine-tuning for Text Classification” paper changed the entire landscape of Natural Language Processing (NLP). LLAMA2 […] The post Automated Fine-Tuning of LLAMA2 Models on Gradient AI Cloud appeared first on Analytics Vidhya.

Automation 336

Automation Natural Language Processing Large Language Models Deep Learning 336

AI News

JANUARY 8, 2025

Industry-leading agenda including: Strategic insights into the convergence of machine learning, natural language processing, and neural architectures shaping AIs future. Prepare for two days of unrivalled access to the trends and innovations shaping the future of AI, automation, and big data. Don’t miss out!

Big Data 293

Big Data Natural Language Processing Artificial Intelligence Artificial Intelligence 293

AI News

NOVEMBER 13, 2024

The course covers prompt structure, including one-shot, few-shot, and zero-shot learning, as well as fundamental skills like natural language processing and Python programming. . ‘Prompt engineering’ is essential for situations in which human intent must be accurately translated into AI output.

Prompt Engineer 299

Prompt Engineer Prompt Engineering Artificial Intelligence Artificial Intelligence 299

AI News

MARCH 3, 2025

Rather than acting as a separate tool, Browser Operator is an extension of the browser itselfdesigned to empower users by automating repetitive tasks like purchasing products, completing online forms, and gathering web content. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Big Data 228

Big Data Natural Language Processing AI AI 228

AI News

NOVEMBER 21, 2024

Chatbots are automated software applications designed to simulate human conversation. AI chatbots can understand and process natural language, enabling them to handle complex queries and provide relevant information or services. This not only lowers operational costs but also streamlines processes.

Chatbots 287

Chatbots Natural Language Processing Machine Learning Automation 287

Towards AI

NOVEMBER 8, 2024

Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? Natural Language Processing, or NLP, used to be about just getting computers to follow basic commands. A practical solution to address this challenge is automating text generation.

Automation 122

Automation Natural Language Processing Neural Network NLP 122

Unite.AI

NOVEMBER 15, 2024

Even in the early days of Google’s widely-used search engine, automation was at the heart of the results. Rethinking AI’s Pace Throughout History Although it feels like the buzz behind AI began when OpenAI launched ChatGPT in 2022, the origin of artificial intelligence and natural language processing (NLPs) dates back decades.

Automation 269

Automation ChatGPT AI AI 269

AI News

JANUARY 16, 2025

Although these models are perhaps most known for revolutionising natural language processing (NLP), IBM has advanced their use cases beyond text, including applications in chemistry, geospatial data, and time series analysis. Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

Generative AI 324

Generative AI Big Data Natural Language Processing AI 324

Unite.AI

DECEMBER 7, 2024

These innovative platforms combine advanced AI and natural language processing (NLP) with practical features to help brands succeed in digital marketing, offering everything from real-time safety monitoring to sophisticated creator verification systems.

AI Tools 278

AI Tools Automation NLP Algorithm 278

IBM Journey to AI blog

MAY 9, 2023

In today’s digital world, business and IT leaders are turning to automation to improve operational efficiency, increase employee productivity and, ultimately, boost business performance. At IBM, we believe that organizations need AI coupled with automation to help developers reduce time to productivity. Powered by IBM watsonx.ai

Automation 265

Automation Natural Language Processing Deep Learning Machine Learning 265

Unite.AI

OCTOBER 30, 2024

There were rapid advancements in natural language processing with companies like Amazon, Google, OpenAI, and Microsoft building large models and the underlying infrastructure. We started from a blank slate and built the first native large language model (LLM) customer experience intelligence and service automation platform.

Automation 264

Automation AI AI Generative AI 264

AI News

FEBRUARY 17, 2025

Automated document fraud detection powered by AI offers a proactive solution, letting businesses to verify documents in real-time, detect anomalies, and prevent fraud before it occurs. What is intelligent document processing? As fraud tactics grow more sophisticated, organisations need a smarter approach.

IDP 262

IDP Machine Learning Automation AI 262

Unite.AI

JANUARY 23, 2025

Today, AI-powered tools can leverage natural language processing and generation to create compelling copy, support content optimization and SEO, and even produce visuals and video creation. These limitations have left many brands using AI only for basic tasks like automating email or social posts.

Automation 100

Automation Natural Language Processing AI AI 100

AI News

FEBRUARY 13, 2025

The partnership could enable: Creation of locally optimised AI applications Enhanced natural language processing capabilities specific to Chinese users Seamless integration with local services and platforms Prospects and industry impact The effects of the partnership extend beyond immediate market concerns.

Big Data 246

Big Data Natural Language Processing Large Language Models AI 246

IBM Journey to AI blog

JANUARY 29, 2024

This technological revolution is now possible, thanks to the innovative capabilities of generative AI powered automation. IBM watsonx Orchestrate delivers conversational AI and automation capabilities to transform how work gets done in the enterprise, through a unified user management experience.

Automation 287

Automation Generative AI Conversational AI Natural Language Processing 287

Unite.AI

JANUARY 11, 2025

Large Language Models (LLMs) have changed how we handle natural language processing. This shift has the potential to redefine what LLMs can do, turning them into tools that automate complex workflows and simplify everyday tasks. The UFO Agent relies on tools like the Windows UI Automation (UIA) API.

Large Language Models 214

Large Language Models Automation LLM Natural Language Processing 214

Unite.AI

DECEMBER 23, 2024

This automation not only streamlines repetitive processes but also allows human workers to focus on more strategic and creative activities. Today, AI agents are playing an important role in enterprise automation, delivering benefits such as increased efficiency, lower operational costs, and faster decision-making.

Automation 162

Automation AI Data Scientist AI 162

Unite.AI

NOVEMBER 14, 2024

AI scribes tackle these issues by applying cutting-edge Natural Language Processing (NLP) systems to hear and write down doctor-patient talks as they happen. These systems automate note-taking, which leads to standard entries, fewer human mistakes, and better compliance with rules. AI scribes do more than save time.

Natural Language Processing 162

Natural Language Processing AI AI Automation 162

Analytics Vidhya

NOVEMBER 1, 2023

Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing.

Natural Language Processing 325

Natural Language Processing Large Language Models Artificial Intelligence Artificial Intelligence 325

Towards AI

NOVEMBER 6, 2024

The Challenge Legal texts are uniquely challenging for natural language processing (NLP) due to their specialized vocabulary, intricate syntax, and the critical importance of context. Terms that appear similar in general language can have vastly different meanings in legal contexts.

BERT 111

BERT Automation NLP Data Analysis 111

IBM Journey to AI blog

MAY 25, 2023

natural language processing and machine learning models) to automate and streamline operational workflows. In this blog post, we will examine traditional IT operation problems through the lens of data-driven automation and the benefits of AIOps.

Automation 226

Automation Artificial Intelligence Artificial Intelligence ESG 226

Unite.AI

JANUARY 22, 2025

AI practice management solutions are improving healthcare operations through automation and intelligent processing. Each system applies AI technology differently – from processing patient conversations for automated documentation to analyzing medical images for faster diagnosis.

Automation 240

Automation AI AI Neural Network 240

AssemblyAI

DECEMBER 19, 2024

Voice intelligence combines speech recognition, natural language processing, and machine learning to turn voice data into actionable insights. For developers , it provides APIs and tools to build applications that can transcribe conversations, analyze sentiment, detect key topics, and generate automated summaries. 

Natural Language Processing 130

Natural Language Processing Categorization Automation NLP 130

Unite.AI

DECEMBER 5, 2024

With AIs automated monitoring and analysis abilities, internet providers can reduce their workforce dependency and save significant amounts of time and money by receiving data in real time. This instant flow of information may also help reduce staff workload and improve problem-resolution processes.

Data Analysis 173

Data Analysis Automation Natural Language Processing AI 173

Marktechpost

AUGUST 31, 2024

This open-source model, built upon a hybrid architecture combining Mamba-2’s feedforward and sliding window attention layers, is a milestone development in natural language processing (NLP). Parameter Open-Source Small Language Model Transforming Natural Language Processing Applications appeared first on MarkTechPost.

Natural Language Processing 127

Natural Language Processing NLP Deep Learning AI 127

Analytics Vidhya

APRIL 27, 2023

Introduction Automation today is taking place in each sector. And one of the leading technology which enjoys more attraction is NLP (Natural Language Processing). Every industry acquires different technological innovations and products to take charge of the market.

NLP 304

NLP Natural Language Processing Automation Python 304

Analytics Vidhya

JUNE 18, 2023

Introduction Resume parsing, a valuable tool used in real-life scenarios to simplify and streamline the hiring process, has become essential for busy hiring managers and human resources professionals.

Natural Language Processing 304

Natural Language Processing Algorithm Automation NLP 304

Unite.AI

JANUARY 13, 2025

Machine learning and natural language processing are reshaping industries in ways once thought impossible. Some companies misrepresent their capabilities, branding basic automation or human-driven processes as AI-powered. The promise of authentic AI is undeniable.

Artificial Intelligence 221

Artificial Intelligence Artificial Intelligence Machine Learning Natural Language Processing 221

Unite.AI

JANUARY 28, 2025

The Rise of Open Reasoning Models in AI AI has transformed industries by automating tasks and analyzing data. These models go beyond simple automation. OpenAI, known for its general-purpose models like GPT-4 and Codex, excels in natural language processing and problem-solving across many applications.

OpenAI 147

OpenAI Natural Language Processing Explainable AI Explainability 147

Unite.AI

NOVEMBER 28, 2024

AI voice agents are an integral part of today's automated phone communication, enabling businesses to process thousands of concurrent calls through sophisticated speech recognition and natural language processing systems.

Natural Language Processing 130

Natural Language Processing Automation AI AI 130

Analytics Vidhya

JUNE 21, 2023

Introduction Transformers are revolutionizing natural language processing, providing accurate text representations by capturing word relationships. Extracting critical information from PDFs is vital today, and transformers offer an efficient solution for automating PDF summarization.

Python 290

Python Natural Language Processing Automation Data Science 290

AI News

MAY 22, 2024

For human communication and natural language processing, this means models like ChatGPT can stay continually updated with one of the vastest collections of public discourse available, enabling them to respond more effectively. Want to learn more about AI and big data from industry leaders?

OpenAI 328

OpenAI Natural Language Processing Big Data ChatGPT 328

Unite.AI

FEBRUARY 27, 2025

Game Dialogue and Storytelling With its natural language processing (NLP) capabilities, Muse can generate dialogue, branching narratives, and quest structures. By automating tedious tasks, indie developers can focus on creativity and innovation.

Generative AI 196

Generative AI Natural Language Processing AI Modeling Deep Learning 196

Aiiot Talk

AUGUST 10, 2024

Could automation powered by artificial intelligence be the solution they’re searching for? How AI Can Optimize Packaging Line Efficiency Automation is one of AI’s most significant ways to optimize packaging line efficiency. However, this technology doesn’t just automate processes — it understands its actions.

Automation 174

Automation Robotics Natural Language Processing Artificial Intelligence 174

Unite.AI

MARCH 6, 2025

While we design to automate, we dont seek to automate an entire workflow. We understand where in the process human expertise is most valuable, then integrate and optimize the AI to benefit from that expertise. It automates routine tasks so that human agents can handle more complex issues.

Automation 165

Automation AI Modeling Natural Language Processing Explainability 165

Unite.AI

FEBRUARY 21, 2025

One of the most practical use cases of AI today is its ability to automate data standardization, enrichment, and validation processes to ensure accuracy and consistency across multiple channels. As a result, brands and/or manufacturers are set up for omnichannel success by having consistent supplier insights across systems.

Natural Language Processing 147

Natural Language Processing NLP Categorization Algorithm 147