Marktechpost

MARCH 24, 2024

This method’s core is using a large language model (LLM), which, due to its state-of-the-art text comprehension capabilities, can integrate diverse types of data to improve the accuracy of detecting device-directed speech. If you like our work, you will love our newsletter.

Large Language Models 121

Large Language Models LLM Categorization AI 121

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. A transformer architecture is typically implemented as a Large language model.

Large Language Models 85

Large Language Models LLM Natural Language Processing Deep Learning 85

Marktechpost

MAY 14, 2024

Research in computational linguistics continues to explore how large language models (LLMs) can be adapted to integrate new knowledge without compromising the integrity of existing information. This structured approach provides a clear view of the impact of fine-tuning with both familiar and novel data on model accuracy.

Categorization 96

Categorization Computational Linguistics Large Language Models Machine Learning 96

Marktechpost

MARCH 10, 2024

Developing and refining Large Language Models (LLMs) has become a focal point of cutting-edge research in the rapidly evolving field of artificial intelligence, particularly in natural language processing. A significant innovation in this domain is creating a specialized tool to refine the dataset compilation process.

Large Language Models 97

Large Language Models Natural Language Processing LLM Categorization 97

Marktechpost

AUGUST 15, 2023

Large language models (LLMs) have achieved amazing results in a variety of Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG) tasks in recent years. Our survey comprehensively documents the MANY types of self-correction strategies.

Large Language Models 98

Large Language Models Categorization LLM Natural Language Processing 98

Marktechpost

JANUARY 5, 2024

While Document AI (DocAI) has made significant strides in areas such as question answering, categorization, and extraction, real-world applications continue to face persistent hurdles related to accuracy, reliability, contextual understanding, and generalization to new domains. If you like our work, you will love our newsletter.

Large Language Models 133

Large Language Models AI Researcher AI Research Categorization 133

Marktechpost

JANUARY 20, 2024

The Natural Language Generation (NLG) field stands at the intersection of linguistics and artificial intelligence. Recent advancements in Large Language Models (LLMs) have revolutionized NLG, significantly enhancing the ability of systems to generate coherent and contextually relevant text.

Large Language Models 124

Large Language Models LLM Categorization Artificial Intelligence 124

Marktechpost

JANUARY 11, 2024

In 2023, the field of artificial intelligence witnessed significant advancements, particularly in the field of large language models. We have categorized them to make it easier to cover maximum tools. Mistral 7B : It is a powerful language model, boasting 7.3

Large Language Models 88

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 88

Marktechpost

APRIL 6, 2024

AutoTRIZ emphasizes controlling the problem-solving process while drawing problem-related knowledge from the pre-trained large-scale corpora used to train the LLM. AutoTRIZ’s detection results were compared with human experts’ analyses from textbooks categorized into complete match, half match, and no match scenarios.

Large Language Models 129

Large Language Models Automation Natural Language Processing Categorization 129

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 137

Large Language Models Natural Language Processing Categorization NLP 137

Marktechpost

DECEMBER 8, 2023

INSTRUCTOR is used to categorize OSS-INSTRUCT-generated data based on embedding similarity. Magicoder demonstrates competitive performance with top code models with a modest parameter size of no more than 7 billion. Evaluation employs benchmarks like HumanEval and MBPP, focusing on the pass1 metric.

Large Language Models 134

Large Language Models Categorization Data Science Python 134

Marktechpost

JANUARY 17, 2024

In large language models (LLMs), the challenge of keeping information up-to-date is significant. As knowledge evolves, these models must adapt to include the latest information. An alternative approach, model editing, offers a way to update the knowledge within these models more efficiently.

Large Language Models 107

Large Language Models Categorization AI AI 107

Marktechpost

MARCH 19, 2024

Large language models (LLMs) have taken center stage in artificial intelligence, fueling advancements in many applications, from enhancing conversational AI to powering complex analytical tasks. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Large Language Models 70

Large Language Models Artificial Intelligence Artificial Intelligence Categorization 70

Unite.AI

JANUARY 19, 2024

Large language models (LLMs) like GPT-4, PaLM, and Llama have unlocked remarkable advances in natural language generation capabilities. Taxonomy of Hallucination Mitigation Techniques Researchers have introduced diverse techniques to combat hallucinations in LLMs, which can be categorized into: 1.

Large Language Models 147

Large Language Models LLM Prompt Engineer Prompt Engineering 147

Towards AI

MAY 23, 2023

This is where Large Language Model (LLM) can help. Large Language Models can improve customer service operations, making them more efficient, accurate, and personalized. To become such an adept language processor, the LLM underwent extensive training on massive volumes of text data.

Large Language Models 89

Large Language Models Categorization LLM Automation 89

Marktechpost

JULY 4, 2023

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size. rely on Language Models as their foundation.

Large Language Models 91

Large Language Models BERT Natural Language Processing Categorization 91

Marktechpost

NOVEMBER 25, 2023

Large language models have recently brought about a paradigm change in natural language processing, leading to previously unheard-of advancements in language creation, comprehension, and reasoning. To improve fidelity, they place a strong emphasis on resolving inconsistency from the viewpoint of the user.

Large Language Models 119

Large Language Models AI Researcher AI Research LLM 119

John Snow Labs

OCTOBER 10, 2023

In this presentation, I’ll demonstrate how the BioGPT generative language model, along with some fine-tuning, can be used for tasks like extracting biomedical relationships, addressing queries, categorizing documents, and creating definitions for biomedical terms.

Large Language Models 52

Large Language Models BERT Categorization NLP 52

Marktechpost

NOVEMBER 5, 2023

The team hope to expand their current set of high-quality annotations soon to include things like contamination annotations compared to widely-used LLM benchmarks, topic modelling and categorization annotations for each document, and any additional annotations that spark interest in the community. We are also on Telegram and WhatsApp.

Large Language Models 121

Large Language Models LLM Categorization AI 121

John Snow Labs

MAY 22, 2024

LLMs and Their Role in Telemedicine and Remote Care Large Language Models (LLMs) are advanced artificial intelligence systems developed to understand and generate text in a human-like manner. LLMs are crucial in telemedicine and remote care.

Large Language Models 40

Large Language Models Data Scientist LLM Automation 40

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. Existing benchmarks frequently use simple objective metrics like word overlap to gauge how well the content produced by the machine is categorizing information.

Large Language Models 125

Large Language Models LLM Natural Language Processing Categorization 125

NYU Center for Data Science

OCTOBER 18, 2023

The Logic of Transformers: William Merrill’s Step Towards Understanding Large Language Models’ Limits and Hallucinations The advent of large language models (LLMs) based on transformer architecture, which drives products like ChatGPT, has revolutionized machine learning.

Large Language Models 77

Large Language Models Categorization LLM ChatGPT 77

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? Their new model combined several ideas into something surprisingly simple and powerful.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Snorkel AI

MAY 25, 2023

Since the public unveiling of ChatGPT, large language models (or LLMs) have had a cultural moment. But what are large language models? Table of contents What are large language models (LLMs)? Their new model combined several ideas into something surprisingly simple and powerful.

Large Language Models 52

Large Language Models BERT Neural Network LLM 52

Marktechpost

SEPTEMBER 28, 2023

Auditing Large Language Models (LLMs) has become a paramount concern as these models are increasingly integrated into various applications. This functionality empowers auditors to categorize and group tests based on common themes or model behavior patterns. If you like our work, you will love our newsletter.

Large Language Models 87

Large Language Models LLM Categorization AI 87

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 187

ESG Categorization Large Language Models NLP 187

Marktechpost

MAY 3, 2024

This interdisciplinary field incorporates linguistics, computer science, and mathematics, facilitating automatic translation, text categorization, and sentiment analysis. In sequential single interaction, retrievers identify relevant documents, which the language model then uses to predict the output.

Natural Language Processing 118

Natural Language Processing Large Language Models Categorization BERT 118

Marktechpost

JULY 18, 2023

Crowd employees are far more affordable and adaptable, but the quality might be better, especially for difficult activities and languages other than English. The post This AI Paper Explores the Potential of Large Language Models (LLMs) for Text Annotation Tasks with a Focus on ChatGPT appeared first on MarkTechPost.

Large Language Models 52

Large Language Models ChatGPT Categorization AI 52

AssemblyAI

SEPTEMBER 29, 2023

It would take weeks to filter and categorize all of the information to identify common issues or patterns. By using Audio Intelligence, LLMs and frameworks, companies can build on top of ASR to create tools that categorize content, increase searchability, aid in podcast or video editing, and intelligently synthesize this information.

Categorization 264

Categorization Auto-complete AI Modeling LLM 264

AssemblyAI

JANUARY 23, 2024

Large Language Models (LLMs) are revolutionizing how humans and Artificial Intelligence (AI) interact.   In this article, we’ll explore what Conversation Intelligence platforms and Large Language Models are before examining the top benefits of integrating LLMs for Conversation Intelligence platforms. 

Large Language Models 147

Large Language Models Natural Language Processing Categorization Automation 147

Marktechpost

APRIL 5, 2024

The proposed approach was explained by analyzing neural network architectures, particularly transformers, from a categorical perspective, specifically utilizing topos theory. While traditional neural networks can be embedded in pretopos categories, transformers necessarily reside in a topos completion.

Neural Network 123

Neural Network Natural Language Processing Categorization Explainability 123

Marktechpost

FEBRUARY 20, 2024

Prompt engineering has burgeoned into a pivotal technique for augmenting the capabilities of large language models (LLMs) and vision-language models (VLMs), utilizing task-specific instructions or prompts to amplify model efficacy without altering core model parameters.

Prompt Engineer 133

Prompt Engineer Prompt Engineering Large Language Models Categorization 133

Marktechpost

MARCH 4, 2024

The recent success of large language models relies heavily on extensive text datasets for pre-training. Data selection in machine learning aims to optimize datasets, primarily enhancing model performance while addressing cost reduction, metric integrity, and mitigating biases.

Large Language Models 107

Large Language Models Categorization AI AI 107

Unite.AI

FEBRUARY 26, 2024

The advent of Multimodal Large Language Models (MLLM) has ushered in a new era of mobile device agents, capable of understanding and interacting with the world through text, images, and voice. Along with GPT-4V, Mobile-Agent also employs an icon detection module for icon localization.

Large Language Models 214

Large Language Models Metadata Natural Language Processing Categorization 214

AssemblyAI

APRIL 18, 2024

Next, there are many further features that AssemblyAI offers beyond transcription to explore, such as: Entity detection to automatically identify and categorize key information. LeMUR for applying Large Language Models (LLMs) to audio data in a single line of code.

Large Language Models 162

Large Language Models Categorization AI Modeling AI 162

AssemblyAI

APRIL 15, 2024

Next, there are many further features that AssemblyAI offers beyond transcription to explore, such as: Entity detection to automatically identify and categorize key information. LeMUR for applying Large Language Models (LLMs) to audio data in a single line of code.

Large Language Models 162

Large Language Models Categorization AI Modeling AI 162

AssemblyAI

NOVEMBER 30, 2023

  Here we examine how companies are building AI-powered call analytics tools and features using Speech AI models such as Automatic Speech Recognition, Audio Intelligence, and Large Language Models, as well as some of the top benefits and use cases for integrating Speech AI. 

Large Language Models 147

Large Language Models AI Tools Data Analysis AI 147