Unite.AI

MAY 8, 2024

Obtaining high-quality labeled data for training supervised GNN models can be expensive and time-consuming. In parallel, Large Language Models (LLMs) like GPT-4, and LLaMA have taken the world by storm with their incredible natural language understanding and generation capabilities.

Neural Network 182

Neural Network Large Language Models LLM BERT 182

Analytics Vidhya

DECEMBER 5, 2023

The research team at UC Berkeley introduces Starling-7B, an open-source large language model (LLM) that employs Reinforcement Learning from AI Feedback (RLAIF).

LLM 256

LLM Large Language Models AI AI 256

Unite.AI

MAY 17, 2024

In recent years, the healthcare industry has witnessed a significant increase in the use of large language model-based chatbots, or generative conversational agents. The study revealed both promising results and significant limitations in the ability of large language models to support behavior change.

AI Chatbots 147

AI Chatbots Chatbots Large Language Models AI 147

Unite.AI

APRIL 21, 2024

In the field of generative AI, Meta continues to lead with its commitment to open-source availability, distributing its advanced Large Language Model Meta AI (Llama) series globally to developers and researchers. This increase allows for more extensive content handling, encompassing both user prompts and model responses.

Large Language Models 269

Large Language Models Generative AI LLM AI 269

Unite.AI

APRIL 25, 2024

Enterprises today are increasingly exploring ways to leverage large language models (LLMs) to boost productivity and create intelligent applications. However, many of the available LLM options are generic models not tailored for specialized enterprise needs like data analysis, coding, and task automation.

LLM 246

LLM AI AI AI Researcher 246

Unite.AI

MAY 27, 2024

Prompt engineering , the art and science of crafting prompts that elicit desired responses from LLMs, has become a crucial area of research and development. This approach leverages search algorithms like breadth-first or depth-first search, enabling the LLM to engage in lookahead and backtracking during the problem-solving process.

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Prompt Engineer Prompt Engineering LLM Auto-complete 162

AI News

MAY 15, 2024

The UAE is making big waves by launching a new open-source generative AI model. This step, taken by a government-backed research institute, is turning heads and marking the UAE as a formidable player in the global AI race. TII is run by Abu Dhabi’s Advanced Technology Research Council.

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AI Modeling Big Data Generative AI Large Language Models 261

Unite.AI

MAY 6, 2024

At the heart of R1 lies the Large Action Model (LAM) , an advanced AI assistant adept at comprehending user intentions and executing tasks on their behalf. While previously known by other terms such as Interactive AI and Large Agentic Model , the concept of LAMs is gaining momentum as a pivotal innovation in AI-powered interactions.

Neural Network 312

Neural Network AI AI Automation 312

AI News

FEBRUARY 27, 2024

Mistral AI, a France-based startup, has introduced a new large language model (LLM) called Mistral Large that it claims can compete with several top AI systems on the market. Mistral AI stated that Mistral Large outscored most major LLMs except for OpenAI’s recently launched GPT-4 in tests of language understanding.

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LLM Large Language Models Big Data OpenAI 243

Marktechpost

MAY 4, 2024

The rapid evolution in AI demands models that can handle large-scale data and deliver accurate, actionable insights. Researchers in this field aim to create systems capable of continuous learning and adaptation, ensuring they remain relevant in dynamic environments.

Neural Network 145

Neural Network Large Language Models Continuous Learning AI 145

AI News

APRIL 17, 2024

Introducing lightweight, industry-specific AI models for individual licence, SAS hopes to equip organisations with readily deployable AI technology to productionise real-world use cases with unparalleled efficiency. In today’s market, the consumption of models is primarily focused on large language models (LLMs) for generative AI.

AI Modeling 309

AI Modeling Large Language Models Big Data AI 309

Marktechpost

MAY 10, 2024

Language modeling, a core component of machine learning, involves predicting the likelihood of a sequence of words. This field primarily enhances machine understanding and generation of human language, serving as a backbone for various applications such as text summarization, translation, and auto-completion systems.

Large Language Models 122

Large Language Models Auto-complete BERT Machine Learning 122

Marktechpost

MAY 29, 2024

Multimodal Large Language Models (MLLMs) represent an advanced field in artificial intelligence where models integrate visual and textual information to understand and generate responses. The main problem addressed in this research is the need for more utilization of visual information in current MLLMs.

Large Language Models 93

Large Language Models LLM Artificial Intelligence Artificial Intelligence 93

Marktechpost

MAY 28, 2024

Speech recognition technology focuses on converting spoken language into text. It involves processes such as acoustic modeling, language modeling, and decoding, aiming to achieve high accuracy in transcriptions. The DLM leverages vast amounts of synthetic data generated by TTS systems to train the model effectively.

Data Scarcity 102

Data Scarcity Large Language Models Machine Learning Algorithm 102

Marktechpost

MAY 27, 2024

Multimodal large language models (MLLMs) are cutting-edge innovations in artificial intelligence that combine the capabilities of language and vision models to handle complex tasks such as visual question answering & image captioning.

Large Language Models 109

Large Language Models Categorization Artificial Intelligence Artificial Intelligence 109

Marktechpost

MAY 17, 2024

Natural Language Processing (NLP) is a cutting-edge field that enables machines to understand, interpret, & generate human language. It has applications in various domains, such as language translation, text summarization, sentiment analysis, and the development of conversational agents.

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LLM Large Language Models Natural Language Processing NLP 137

Marktechpost

MAY 15, 2024

Salesforce AI Research has unveiled a groundbreaking development – the XGen-MM series. The Genesis of XGen-MM: XGen-MM emerges from Salesforce’s unified XGen initiative, reflecting a concerted effort to pioneer large foundation models.

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AI Researcher AI Research AI AI 132

Marktechpost

MARCH 30, 2024

In the ever-evolving landscape of artificial intelligence, the quest for more advanced and capable language models has been a driving force. As the demand for intelligent systems that can understand and generate human-like language grows, the development of LLMs has become a crucial endeavor. The result?

Large Language Models 125

Large Language Models LLM Artificial Intelligence Artificial Intelligence 125

Marktechpost

MAY 11, 2024

With the significant advancement in the fields of Artificial Intelligence (AI) and Natural Language Processing (NLP), Large Language Models (LLMs) like GPT have gained attention for producing fluent text without explicitly built grammar or semantic modules.

Large Language Models 121

Large Language Models NLP Data Scarcity Computational Linguistics 121

Marktechpost

MAY 27, 2024

Knowledge-intensive Natural Language Processing (NLP) involves tasks requiring deep understanding and manipulation of extensive factual information. These tasks challenge models to effectively access, retrieve, and utilize external knowledge sources, producing accurate and relevant outputs.

Natural Language Processing 121

Natural Language Processing NLP BERT AI Researcher 121

Marktechpost

MAY 17, 2024

Large language models (LLMs) have excelled in natural language tasks and instruction following, yet they struggle with non-textual data like images and audio. Particularly, instruction-following multimodal audio-language models are gaining traction due to their ability to generalize across tasks.

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Large Language Models LLM AI AI 113

Marktechpost

MAY 19, 2024

Google AI researchers describe their novel approach to addressing the challenge of generating high-quality synthetic datasets that preserve user privacy, which are essential for training predictive models without compromising sensitive information. The first step of the approach is to train LLM on a large corpus of public data.

Machine Learning 104

Machine Learning Large Language Models LLM AI 104

Marktechpost

APRIL 8, 2024

The training of Large Language Models (LLMs) has been shackled by the limitations of subword tokenization, a method that, while effective to a degree, demands considerable computational resources. The research utilizes the C4 (Cleaned Common Crawl Corpus) dataset for model training.

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LLM Large Language Models AI AI 128

Marktechpost

MAY 7, 2024

Context-aware data cleaning tools offer promise, leveraging Ontological Functional Dependencies (OFDs) extracted from context models. Despite the efficacy of OFD-based cleaning tools, manual construction of context models presents practical challenges, particularly for real-time applications.

Large Language Models 108

Large Language Models Automation Data Quality ML 108

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. All credit for this research goes to the researchers of this project.

Large Language Models 120

Large Language Models Prompt Engineer Prompt Engineering LLM 120

Marktechpost

MAY 4, 2024

PyTorch introduced TK-GEMM, an optimized Triton FP8 GEMM kernel , to address the challenge of accelerating FP8 inference for large language models (LLMs) like Llama3 using Triton Kernels. In conclusion, PyTorch presents a novel approach to accelerating FP8 inference for large language models using Triton Kernels.

Large Language Models 101

Large Language Models Deep Learning AI AI 101

Marktechpost

MAY 25, 2024

Unlocking the potential of large multimodal language models (MLLMs) to handle diverse modalities like speech, text, image, and video is a crucial step in AI development. Traditional methods for handling multimodal challenges often rely on dense models or single-expert modality approaches.

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LLM AI Developer AI Development ML 124

Marktechpost

MAY 1, 2024

PyTorch recently introduced ExecuTorch alpha to address the challenge of deploying powerful machine learning models, including extensive language models (LLMs), on edge devices that are limited in resources, such as smartphones and wearables. This connects powerful AI models with environments that are limited in resources.

Large Language Models 103

Large Language Models Machine Learning ML AI Modeling 103

Marktechpost

APRIL 25, 2024

Snowflake AI Research has launched the Arctic , a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard for cost-effectiveness and accessibility. The Arctic Base provides a solid foundation for general AI tasks, suitable for most enterprise needs.

Large Language Models 131

Large Language Models LLM AI Researcher AI Research 131

Marktechpost

MAY 25, 2024

Advances in imaging technology and software drive this transformation, which has significant implications for medical diagnostics, research, and education. Microsoft’s innovative vision transformer GigaPath has revolutionized whole-slide modeling by introducing dilated self-attention to manage computation.

Categorization 126

Categorization Generative AI ML AI 126

Marktechpost

APRIL 15, 2024

The rapid advancement of large language models has ushered in a new era of natural language processing capabilities. However, a significant challenge persists: most of these models are primarily trained on a limited set of widely spoken languages, leaving a vast linguistic diversity unexplored.

Machine Learning 124

Machine Learning Data Scarcity Large Language Models Natural Language Processing 124

Marktechpost

MAY 28, 2024

Federated learning enables collaborative model training by aggregating gradients from multiple clients, thus preserving their private data. Researchers from INSAIT, Sofia University, ETH Zurich, and LogicStar.ai DAGER overcomes these limitations by supporting large batches and sequences for encoder and decoder transformers.

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Algorithm BERT Large Language Models ML 99

Marktechpost

MAY 5, 2024

The natural language processing (NLP) field is continuously evolving, with large language models (LLMs) becoming integral to many applications. The push towards fine-tuning these models has become crucial to enhance their specific capabilities without requiring extensive computational resources.

Large Language Models 104

Large Language Models Natural Language Processing NLP LLM 104

Marktechpost

MAY 3, 2024

Natural Language Processing (NLP) is integral to artificial intelligence, enabling seamless communication between humans and computers. Traditional NLP methods like CNN, RNN, and LSTM have evolved with transformer architecture and large language models (LLMs) like GPT and BERT families, providing significant advancements in the field.

Natural Language Processing 118

Natural Language Processing Large Language Models Categorization BERT 118

Marktechpost

MARCH 8, 2024

A team of researchers in Europe has introduced OcciGlot to address the need for dedicated language modeling solutions. The model aims to maintain Europe’s academic and economic competitiveness, AI sovereignty, and digital language equality. In response, Occiglot introduces Model Release v0.1,

Large Language Models 111

Large Language Models LLM AI AI 111

Marktechpost

MAY 28, 2024

Many developers and researchers working with large language models face the challenge of fine-tuning the models efficiently and effectively. Fine-tuning is essential for adapting a model to specific tasks or improving its performance, but it often requires significant computational resources and time.

Large Language Models 76

Large Language Models AI Researcher AI Research AI 76

Marktechpost

MAY 4, 2024

It has revolutionized domains such as image recognition, natural language processing, and personalized recommendations. One of the major challenges facing machine learning is the opacity surrounding how models make decisions. These frameworks assess LLMs’ reasoning by comparing model performance on novel and known data.

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Large Language Models Natural Language Processing Machine Learning AI 117