Analytics Vidhya

MAY 1, 2024

Google’s latest breakthrough in natural language processing (NLP), called Gecko, has been gaining a lot of interest since its launch. Unlike traditional text embedding models, Gecko takes a whole new approach by distilling knowledge from large language models (LLMs).

Large Language Models 326

Large Language Models Natural Language Processing NLP AI Modeling 326

Unite.AI

OCTOBER 27, 2024

Transformers.js, developed by Hugging Face, brings the power of transformer-based models directly to JavaScript environments. This framework enables developers to run sophisticated AI models directly in web browsers and Node.js applications, opening up new possibilities for client-side AI processing. Transformers.js

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Unite.AI

FEBRUARY 27, 2025

However, while generative AI has a huge potential to transform game development, current generative AI models struggle with complex, dynamic environments. Recognizing these challenges, Microsoft has started its journey towards building generative AI for game development.

Generative AI 196

Generative AI Natural Language Processing AI Modeling Deep Learning 196

Analytics Vidhya

JULY 26, 2024

Introduction Mastering prompt engineering has become crucial in Natural Language Processing (NLP) and artificial intelligence. This skill, a blend of science and artistry, involves crafting precise instructions to guide AI models in generating desired outcomes.

Prompt Engineer 287

Prompt Engineer Prompt Engineering Natural Language Processing NLP 287

Unite.AI

DECEMBER 27, 2024

AI systems need vast information to learn patterns, predict, and adapt to new situations. The quality, diversity, and volume of the data used determine how accurate and adaptable an AI model will be. Every search query, video watched, or location visited helps refine their AI models.

AI 173

AI AI Natural Language Processing AI Modeling 173

Unite.AI

NOVEMBER 5, 2024

The chip is designed for flexibility and scalability, enabling it to handle various AI workloads such as Natural Language Processing (NLP) , computer vision , and predictive analytics. Additionally, the Ascend 910C supports high bandwidth memory (HBM2e), essential for managing large datasets and efficiently training complex AI models.

Deep Learning 189

Deep Learning AI AI Neural Network 189

Unite.AI

MARCH 6, 2025

We develop AI governance frameworks that focus on fairness, accountability, and transparency in decision-making. Our approach includes using diverse training data to help mitigate bias and ensure AI models align with societal expectations. We work closely with clients to build AI models that are both efficient and ethical.

Automation 165

Automation AI Modeling Natural Language Processing Explainability 165

John Snow Labs

JANUARY 21, 2025

NLP Logix, a leading artificial intelligence (AI) and machine learning (ML) consultancy has announced a strategic technology partnership with John Snow Labs, a premier provider of healthcare AI solutions. This partnership underscores our commitment to helping organizations responsibly harness the power of AI.

NLP 52

NLP Machine Learning Responsible AI Software Engineer 52

Unite.AI

MARCH 23, 2025

Natural Language Processing (NLP): Built-in NLP capabilities for understanding user intents and extracting key information. However, Botpress stands out with its advanced AI capabilities and visual flow builder. Knowledge Base Integration: Connects to structured knowledge sources (websites, documents, etc.)

AI Chatbots 271

AI Chatbots Chatbots AI AI 271

Unite.AI

MARCH 24, 2024

It involves an AI model capable of absorbing instructions, performing the described tasks, and then conversing with a ‘sister' AI to relay the process in linguistic terms, enabling replication. NLP enables machines to understand, interpret, and respond to human language in a meaningful way.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

Unite.AI

NOVEMBER 28, 2024

Across these fields, SAP's AI solutions are not merely making minor improvements, but they are transforming how businesses operate and adapt to the demands of today’s fast-paced world. SAP’s focus on open-source AI aligns with its goal of creating solutions that are accessible, transparent, and adaptable for business clients.

AI 162

AI AI Natural Language Processing NLP 162

Towards AI

OCTOBER 18, 2024

Last Updated on October 19, 2024 by Editorial Team Author(s): Mukundan Sankar Originally published on Towards AI. How Retrieval-Augmented Generation (RAG) Can Boost NLP Projects with Real-Time Data for Smarter AI Models This member-only story is on us. Join thousands of data leaders on the AI newsletter.

NLP 111

NLP Natural Language Processing BERT ChatGPT 111

Flipboard

MAY 7, 2023

Large language models (LLMs) are one of the hottest innovations today. With companies like OpenAI and Microsoft working on releasing new impressive NLP systems, no one can deny the importance of having access to large amounts of quality data that can’t be undermined. However, according to recent …

Large Language Models 182

Large Language Models AI Modeling NLP OpenAI 182

AssemblyAI

DECEMBER 19, 2024

Today's voice intelligence platforms ( powered by advanced AI models like Universal-2 ) can process complex conversations with multiple speakers, heavy background noise, and industry-specific language. Advanced ASR models also can provide accurate timing information and confidence scores for each word.

Natural Language Processing 130

Natural Language Processing Categorization Automation NLP 130

Marktechpost

NOVEMBER 29, 2024

achieved comparable results to much larger transformer models when tested on general NLP and vision benchmarks, highlighting the efficiency gains through careful design optimizations. The results from GLM-Edge’s evaluation demonstrate strong performance despite the reduced parameter count. For example, the GLM-Edge-1.5B

AI Modeling 85

AI Modeling Large Language Models Conversational AI Computer Vision 85

Marktechpost

APRIL 4, 2025

Useful Resources Hugging Face Transformers Documentation More about Question Answering Models SQuAD Dataset Information BeautifulSoup Documentation Here is the Colab Notebook. Let’s start by installing the necessary libraries: # Install required packages Copy Code Copied Use a different Browser !pip Windows NT 10.0;

AI Modeling 50

AI Modeling NLP AI AI 50

Unite.AI

DECEMBER 23, 2024

One of the primary use cases is in customer service, where AI-powered chatbots and virtual assistants handle routine inquiries. These agents use Natural Language Processing (NLP) to communicate with customers conversationally, offering instant responses and reducing the need for human intervention.

Automation 162

Automation Data Scientist AI AI 162

Unite.AI

JANUARY 1, 2025

AI chatbots, for example, are now commonplace with 72% of banks reporting improved customer experience due to their implementation. Integrating natural language processing (NLP) is particularly valuable, allowing for more intuitive customer interactions.

Explainable AI 140

Explainable AI AI AI Natural Language Processing 140

Towards AI

FEBRUARY 3, 2025

AI is being discussed in various sectors like healthcare, banking, education, manufacturing, etc. However, DeepSeek AI is taking a different direction than the current AI Models. DeepSeek AI The Future is Here So, where does DeepSeek AI fit in amongst it all?

Natural Language Processing 125

Natural Language Processing OpenAI Neural Network Artificial Intelligence 125

AI News

JULY 22, 2024

According to a survey by the International Journal of Computer Applications , AI models that incorporate diverse data sources can improve prediction accuracy by up to 20%. Pattern recognition and anomaly detection One of AI’s greatest strengths is its ability to recognise patterns and detect anomalies.

Machine Learning 308

Machine Learning Algorithm Neural Network Natural Language Processing 308

IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

Conversational AI 291

Conversational AI NLP Chatbots AI 291

Marktechpost

AUGUST 28, 2024

With advanced natural language processing (NLP) capabilities, iAsk Ai understands the nuances of human language, making it an essential tool for anyone who needs accurate information fast. What Sets iAsk Ai Apart? Beyond its wide range of users, iAsk Ai stands out due to its innovative approach to search technology.

AI Modeling 126

AI Modeling ChatGPT Natural Language Processing NLP 126

Marktechpost

AUGUST 14, 2024

70b by Mobius Labs, boasting 70 billion parameters, has been designed to enhance the capabilities in natural language processing (NLP), image recognition, and data analysis. Mobius Labs, known for its cutting-edge innovations, has positioned this model as a cornerstone in the next generation of AI technologies. HQQ Llama-3.1-70b

Natural Language Processing 127

Natural Language Processing AI Modeling Data Analysis NLP 127

Marktechpost

MAY 7, 2024

A key element of Natural Language Processing (NLP) applications is Named Entity Recognition (NER), which recognizes and classifies named entities, such as names of people, places, dates, and organizations within the text. Check out the Paper. All credit for this research goes to the researchers of this project.

AI Modeling 131

AI Modeling Large Language Models Natural Language Processing BERT 131

AWS Machine Learning Blog

NOVEMBER 25, 2024

John Snow Labs is the developer behind Spark NLP, Healthcare NLP, and Medical LLMs. Its award-winning medical AI software powers the world’s leading pharmaceuticals, academic medical centers, and health technology companies.

LLM 102

LLM NLP Machine Learning ML 102

Marktechpost

OCTOBER 21, 2024

Organizations require models that are adaptable, secure, and capable of understanding domain-specific contexts while also maintaining compliance and privacy standards. Traditional AI models often struggle with delivering such tailored performance, requiring businesses to make a trade-off between customization and general applicability.

AI Modeling 116

AI Modeling Large Language Models Natural Language Processing Inference Engine 116

Marktechpost

MARCH 6, 2025

A critical challenge in multilingual NLP is the uneven distribution of linguistic resources. Also, many of these models rely on traditional pretraining methods, which fail to accommodate language diversity without increasing computational requirements. while outperforming other leading open-source models.

Large Language Models 67

Large Language Models LLM NLP Data Quality 67

Unite.AI

OCTOBER 11, 2023

Generative AI and The Need for Vector Databases Generative AI often involves embeddings. Take, for instance, word embeddings in natural language processing (NLP). When generating human-like text, models need to rapidly compare and retrieve relevant embeddings, ensuring that the generated text maintains contextual meanings.

Generative AI 298

Generative AI BERT NLP AI 298

Unite.AI

JANUARY 15, 2025

Other advanced techniques include: Gradient Boosting : Combining weak predictive models into a strong, accurate prediction. Random Forest Algorithms : Utilizing decision-tree models for enhanced prediction accuracy. As quantum computing and more advanced AI models emerge, predictive accuracy will improve further.

Machine Learning 130

Machine Learning Natural Language Processing Algorithm NLP 130

IBM Journey to AI blog

JANUARY 25, 2024

How might this insight affect evaluation of AI models? Model (in)accuracy To quote a common aphorism, all models are wrong. This holds true in the areas of statistics, science and AI. Models created with a lack of domain expertise can lead to erroneous outputs. How are you making your model explainable?

Algorithm 247

Algorithm Explainability AI AI 247

Towards AI

OCTOBER 31, 2024

Natural Language Processing (NLP) is an example of where traditional methods can struggle with complex text data. Image by author #3 Generate: Use of LLMs to generate sample data GenAI can also generate synthetic data to train AI models. GPT-4o mini response use case #2.

Data Quality 122

Data Quality Data Scarcity Automation Natural Language Processing 122

AssemblyAI

AUGUST 5, 2024

  At AssemblyAI, we believe that AI systems are only as good as the benchmarks and evaluations they are measured against. Objective evaluations and benchmarks validate systems' performances, so users know the AI models they’re using will solve real-world challenges with real-world applications. 

AI Modeling 130

AI Modeling LLM AI AI 130

Towards AI

JANUARY 29, 2025

Examples of Generative AI: Text Generation: Models like OpenAIs GPT-4 can generate human-like text for chatbots, content creation, and more. Music Generation: AI models like OpenAIs Jukebox can compose original music in various styles. Cloud Computing: AWS, Google Cloud, Azure (for deploying AI models) Soft Skills: 1.

AI Engineer 98

AI Engineer Generative AI Neural Network BERT 98

Flipboard

FEBRUARY 26, 2023

OpenAI opened the ChatGPT beta in late November 2022, in a move that produced the most powerful natural language processing (NLP) AI model to date. Will models like ChatGPT completely replace chatbots? It quickly went viral, attracting a million users in the first five days. The underlying premise of …

ChatGPT 182

ChatGPT Natural Language Processing NLP Chatbots 182

Marktechpost

MARCH 31, 2024

Natural Language Processing (NLP) has taken over the field of Artificial Intelligence (AI) with the introduction of Large Language Models (LLMs) such as OpenAI’s GPT-4. These models use massive training on large datasets to predict the next word in a sequence, and they improve with human feedback.

AI Modeling 137

AI Modeling Large Language Models NLP Natural Language Processing 137

Unite.AI

NOVEMBER 11, 2024

The Value of Soft Skills in an Automated World While AI handles the routine and analytical aspects of a task, humans contribute their creativity, empathy, and critical thinking skills. Even the most advanced AI models today lack emotional intelligence , making humans integral in effective communication.

Automation 147

Automation Natural Language Processing AI AI 147

Unite.AI

JANUARY 22, 2025

The system combines ambient AI technology with specialized documentation workflows to handle EHR data entry while doctors focus on patient care. The system processes medical conversations through advanced AI models tailored to specific specialties like emergency medicine and oncology.

Automation 240

Automation AI AI Neural Network 240