AI News

APRIL 2, 2025

We refer to these as large language models. In the AI community, we call this ‘hallucination’ essentially, the system fabricates information. The problem is, once a hallucination enters the data pool, it can be repeated and reinforced by the model. How does it do that? But there are downsides.

Artificial Intelligence 193

Artificial Intelligence Artificial Intelligence Large Language Models Big Data 193

Unite.AI

NOVEMBER 11, 2024

Machines are demonstrating remarkable capabilities as Artificial Intelligence (AI) advances, particularly with Large Language Models (LLMs). At the leading edge of Natural Language Processing (NLP) , models like GPT-4 are trained on vast datasets. They understand and generate language with high accuracy.

LLM 176

LLM Large Language Models Natural Language Processing BERT 176

Unite.AI

NOVEMBER 28, 2023

Hearing, which involves the perception and understanding of generic auditory information, is crucial for AI agents in real-world environments. This auditory information encompasses three primary sound types: music, audio events, and speech. So let’s get started.

Large Language Models 167

Large Language Models Neural Network Natural Language Processing LLM 167

ODSC - Open Data Science

MARCH 3, 2025

When it comes to deploying large language models (LLMs) in healthcare, precision is not just a goalits a necessity. Their work has set a gold standard for integrating advanced natural language processing (NLP ) into clinical settings. Peer-reviewed research to validate theoretical accuracy.

Large Language Models 52

Large Language Models NLP LLM Natural Language Processing 52

Marktechpost

JUNE 10, 2024

The emergence of large language models (LLMs) such as Llama, PaLM, and GPT-4 has revolutionized natural language processing (NLP), significantly advancing text understanding and generation. For instance, they might provide outdated information about recent events or need more expertise in specific medical fields.

Large Language Models 141

Large Language Models Categorization Data Quality Natural Language Processing 141

Unite.AI

MARCH 23, 2025

Customer support teams can use Botpress to create chatbots that handle inquiries, retrieve account information, and book appointments across various industries. Natural Language Processing (NLP): Built-in NLP capabilities for understanding user intents and extracting key information. Who uses Botpress?

AI Chatbots 266

AI Chatbots Chatbots AI AI 266

Marktechpost

NOVEMBER 4, 2024

Evaluating NLP models has become increasingly complex due to issues like benchmark saturation, data contamination, and the variability in test quality. As interest in language generation grows, standard model benchmarking faces challenges from rapidly saturated evaluation datasets, where top models reach near-human performance levels.

NLP 85

NLP Chatbots ML Large Language Models 85

Marktechpost

JANUARY 21, 2024

Large Language Models (LLMs) have exhibited remarkable prowess across various natural language processing tasks. However, applying them to Information Retrieval (IR) tasks remains a challenge due to the scarcity of IR-specific concepts in natural language. If you like our work, you will love our newsletter.

Large Language Models 140

Large Language Models Natural Language Processing Categorization NLP 140

Unite.AI

JANUARY 11, 2024

They serve as a core building block in many natural language processing (NLP) applications today, including information retrieval, question answering, semantic search and more. More recent methods based on pre-trained language models like BERT obtain much better context-aware embeddings. Clustering 46.1 Average 64.2

Large Language Models 144

Large Language Models Prompt Engineering Prompt Engineer BERT 144

John Snow Labs

NOVEMBER 8, 2024

The field of healthcare AI has been evolving rapidly, with Large Language Models (LLMs) playing a pivotal role in the development of cutting-edge medical applications. Healthcare NLP with John Snow Labs The Healthcare NLP Library, part of John Snow Labs’ Library, is a comprehensive toolset designed for medical data processing.

Large Language Models 52

Large Language Models NLP LLM Generative AI 52

John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

Large Language Models 52

Large Language Models NLP Natural Language Processing LLM 52

AssemblyAI

NOVEMBER 9, 2023

In Natural Language Processing (NLP), Text Summarization models automatically shorten documents, papers, podcasts, videos, and more into their most important soundbites. The models are powered by advanced Deep Learning and Machine Learning research. What is Text Summarization for NLP?

NLP 256

NLP AI Modeling Machine Learning AI 256

Marktechpost

AUGUST 10, 2024

Small and large language models represent two approaches to natural language processing (NLP) and have distinct advantages and challenges. Understanding and analyzing the differences between these models is essential for anyone working in AI and machine learning.

Natural Language Processing 120

Natural Language Processing Large Language Models NLP Machine Learning 120

Marktechpost

MARCH 1, 2024

The quest for clean, usable data for pretraining Large Language Models (LLMs) resembles searching for treasure amidst chaos. While rich with information, the digital realm is cluttered with extraneous content that complicates the extraction of valuable data. If you like our work, you will love our newsletter.

Large Language Models 135

Large Language Models Data Extraction Neural Network LLM 135

Marek Rei

NOVEMBER 4, 2024

It is probably good to also to mention that I wrote all of these summaries myself and they are not generated by any language models. link] The paper investigates LLM robustness to prompt perturbations, measuring how much task performance drops for different models with different attacks. Here we go. NeurIPS 2023.

Machine Learning 80

Machine Learning NLP Large Language Models LLM 80

AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. The function sends that information to CloudWatch metrics.

Large Language Models 132

Large Language Models LLM Big Data Machine Learning 132

Marktechpost

JANUARY 26, 2024

With the advancement of AI in recent times, large language models are being used in many fields. These models are trained on larger datasets and require bigger training datasets. These are used in various natural language processing (NLP) tasks, such as dialogue systems, machine translation, information retrieval, etc.

Large Language Models 128

Large Language Models Natural Language Processing NLP LLM 128

Marktechpost

APRIL 2, 2025

LLMs have significantly advanced NLP, demonstrating strong text generation, comprehension, and reasoning capabilities. These models have been successfully applied across various domains, including education, intelligent decision-making, and gaming.

Large Language Models 46

Large Language Models Prompt Engineer Prompt Engineering LLM 46

Marktechpost

MARCH 30, 2024

Natural Language Processing (NLP) models are pivotal for various applications, from translation services to virtual assistants. These models have become increasingly sophisticated and offer nuanced understanding and interaction capabilities as technology advances. If you like our work, you will love our newsletter.

Large Language Models 124

Large Language Models NLP Natural Language Processing ML 124

Ehud Reiter

MARCH 2, 2025

Bayesian networks are causal graphs which contain probabilistic information about the relationship between nodes. Scientific experiments must of course be reproducible, and an experiment involving a BN can only be reproduced if (amongst other things) sufficient information is provided about the BN to allow it to be reused.

Explainability 126

Explainability Large Language Models Algorithm LLM 126

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. This method involves hand-keying information directly into the target system. It is often easier to adopt due to its lower initial costs.

Data Extraction 268

Data Extraction Neural Network Large Language Models NLP 268

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. The rapid pace of financial markets adds another layer of complexity, necessitating real-time analysis for effective decision-making.

Large Language Models 130

Large Language Models NLP Natural Language Processing LLM 130

Towards AI

DECEMBER 9, 2024

The brains behind modern AI: Exploring the evolution of Large Language Models. Measure of quality of output (bleu score) wrt number of words in the input sequence This was due to the loose of information in the beginning of the input. All these structures solve specific type of problems.

Large Language Models 105

Large Language Models Neural Network Deep Learning ChatGPT 105

Unite.AI

FEBRUARY 27, 2025

It proposes a system that can automatically intervene to protect users from submitting personal or sensitive information into a message when they are having a conversation with a Large Language Model (LLM) such as ChatGPT. Opinion An interesting IBM NeurIPS 2024 submission from late 2024 resurfaced on Arxiv last week.

LLM 199

LLM ChatGPT OpenAI Large Language Models 199

Unite.AI

OCTOBER 2, 2023

Imagine you're an Analyst, and you've got access to a Large Language Model. ” Large Language Model, for all their linguistic power, lack the ability to grasp the ‘ now ‘ And in the fast-paced world, ‘ now ‘ is everything. My last training data only goes up to January 2022.”

LLM 293

LLM Prompt Engineering Prompt Engineer Large Language Models 293

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. Recommendation Systems : By accelerating inference for models that process large amounts of user data, TensorRT enables real-time personalization at scale.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

Marktechpost

MARCH 3, 2024

We cannot deny the significant strides made in natural language processing (NLP) through large language models (LLMs). Still, these models often need to catch up when dealing with the complexities of structured information, highlighting a notable gap in their capabilities.

Large Language Models 124

Large Language Models Natural Language Processing ChatGPT NLP 124

Marktechpost

MAY 28, 2024

Large Language Models (LLMs) have advanced rapidly, especially in Natural Language Processing (NLP) and Natural Language Understanding (NLU). These models excel in text generation, summarization, translation, and question answering.

Large Language Models 126

Large Language Models Prompt Engineer Prompt Engineering LLM 126

Marktechpost

MARCH 5, 2024

In recent years, the landscape of natural language processing (NLP) has been dramatically reshaped by the emergence of Large Language Models (LLMs). However, one primary challenge facing MLLMs is effectively integrating visual information.

Large Language Models 129

Large Language Models Artificial Intelligence Artificial Intelligence Natural Language Processing 129

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 130

Large Language Models Machine Learning LLM Natural Language Processing 130

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. The architecture of RAG is distinctive, blending sequence-to-sequence (seq2seq) models with Dense Passage Retrieval (DPR) components.

LLM 243

LLM Large Language Models Chatbots Natural Language Processing 243

Marktechpost

JULY 23, 2024

Large Language Models (LLMs) excel in various tasks, including text generation, translation, and summarization. However, a growing challenge within NLP is how these models can effectively interact with external tools to perform tasks beyond their inherent capabilities. decrease in incorrect tool usage.

Large Language Models 110

Large Language Models LLM ChatGPT NLP 110

Marktechpost

JUNE 30, 2024

Natural language processing (NLP) has experienced significant growth, largely due to the recent surge in the size and strength of large language models. These models, with their exceptional performance and unique characteristics, are rapidly making a significant impact in real-world applications.

NLP 113

NLP Natural Language Processing Large Language Models ML 113

Unite.AI

MARCH 21, 2024

In the world of natural language processing (NLP), the pursuit of building larger and more capable language models has been a driving force behind many recent advancements. Efficient communication strategies and hardware-aware model design are essential to mitigate this overhead.

Large Language Models 144

Large Language Models Neural Network Natural Language Processing LLM 144

IBM Journey to AI blog

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

ESG 238

ESG Categorization Large Language Models NLP 238

Marktechpost

JANUARY 30, 2025

Natural Language Processing (NLP): Text data and voice inputs are transformed into tokens using tools like spaCy. These tokens can then be mapped to semantic embeddings or used directly by transformer-based models to interpret intent and context. GPT-4) transform the text into vectors that capture semantic relationships.

Robotics 113

Robotics Convolutional Neural Networks Large Language Models AI 113

Marktechpost

OCTOBER 9, 2024

Transformer architecture has enabled large language models (LLMs) to perform complex natural language understanding and generation tasks. This phenomenon, known as “attention noise,” hinders the model’s ability to identify and utilize key information from lengthy sequences accurately.

Large Language Models 107

Large Language Models NLP ML 107