Flipboard

JUNE 10, 2023

When it comes to natural language processing (NLP) tasks, large language models (LLM) trained on massive online datasets perform exceptionally well. …

Natural Language Processing 131

Natural Language Processing Large Language Models AI Researcher AI Research 131

Marktechpost

MAY 25, 2024

Large Language Models (LLMs) have driven remarkable advancements across various Natural Language Processing (NLP) tasks. The progression in this field continues to transform how machines comprehend and process language, opening new avenues for research and development. Check out the Paper.

LLM 126

LLM Natural Language Processing Large Language Models AI Researcher 126

AI Weekly

APRIL 11, 2024

The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? No legacy process is safe.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Large Language Models 264

Marktechpost

MARCH 3, 2024

Central to Natural Language Processing (NLP) advancements are large language models (LLMs), which have set new benchmarks for what machines can achieve in understanding and generating human language. One of the primary challenges in NLP is the computational demand for autoregressive decoding in LLMs.

Machine Learning 131

Machine Learning AI Researcher AI Research Large Language Models 131

Marktechpost

DECEMBER 12, 2023

Large Language Models (LLMs) like ChatGPT have revolutionized natural language processing, showcasing their prowess in various language-related tasks. However, these models grapple with a critical issue – the auto-regressive decoding process, wherein each token requires a full forward pass.

Machine Learning 122

Machine Learning LLM Natural Language Processing Large Language Models 122

Marktechpost

SEPTEMBER 21, 2023

In the ever-evolving landscape of Natural Language Processing (NLP) and Artificial Intelligence (AI), Large Language Models (LLMs) have emerged as powerful tools, demonstrating remarkable capabilities in various NLP tasks. Within the field of IT, the importance of NLP and LLM technologies is on the rise.

Large Language Models 126

Large Language Models AI Researcher AI Research NLP 126

Marktechpost

JANUARY 17, 2024

The field of natural language processing has been transformed by the advent of Large Language Models (LLMs), which provide a wide range of capabilities, from simple text generation to sophisticated problem-solving and conversational AI.

LLM 103

LLM Algorithm AI Researcher AI Research 103

AssemblyAI

MAY 3, 2023

Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research. This concept is not exclusive to natural language processing, and has also been employed in other domains. Et voilà !

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Marktechpost

DECEMBER 23, 2023

Generative Large Language Models (LLMs) are well known for their remarkable performance in a variety of tasks, including complex Natural Language Processing (NLP), creative writing, question answering, and code generation. Upon evaluation, PowerInfer has also shown that it has the capability to run up to 11.69

Large Language Models 139

Large Language Models Machine Learning LLM Natural Language Processing 139

Marktechpost

OCTOBER 7, 2023

The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. However, until now, LLMs with robust long-context capabilities have primarily been available through proprietary LLM APIs, leaving a gap in accessible solutions for researchers and developers.

AI Researcher 133

AI Researcher AI Research Natural Language Processing Large Language Models 133

Marktechpost

FEBRUARY 15, 2025

Large Language Models (LLMs) have advanced significantly in natural language processing, yet reasoning remains a persistent challenge. A more structured approach is needed to expose LLMs to fundamental reasoning patterns while preserving logical rigor.

Large Language Models 94

Large Language Models Natural Language Processing Conversational AI AI 94

AI Weekly

FEBRUARY 22, 2024

artificialintelligence-news.com Google’s new AI hub in Paris proves that Google feels insecure about AI This morning, Google’s CEO Sundar Pichai inaugurated a new hub in Paris dedicated to AI. Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link].

Natural Language Processing 263

Natural Language Processing Artificial Intelligence Artificial Intelligence ChatGPT 263

Marktechpost

JULY 13, 2023

Large language models (LLM) have made great strides recently, demonstrating amazing performance in tasks conversationally requiring natural language processing. Vision-and-language models, such as MiniGPT-4, LLaVA, LLaMA-Adapter, InstructBLIP, etc.,

Large Language Models 98

Large Language Models LLM AI Researcher AI Research 98

Marktechpost

MARCH 3, 2024

Empirical evidence from the research highlights the superiority of MobileLLM over existing models within the same parameter constraints. Demonstrating notable improvements in accuracy across a breadth of benchmarks, MobileLLM sets a new standard for on-device LLM deployment. If you like our work, you will love our newsletter.

Machine Learning 132

Machine Learning AI Researcher AI Research Natural Language Processing 132

Marktechpost

JULY 20, 2023

Natural language processing (NLP) has seen a paradigm shift in recent years, with the advent of Large Language Models (LLMs) that outperform formerly relatively tiny Language Models (LMs) like GPT-2 and T5 Raffel et al. RL offers a natural solution to bridge the gap between the optimized object (e.g.,

LLM 98

LLM AI Researcher AI Research Prompt Engineer 98

Marktechpost

JANUARY 5, 2024

Large Language Models (LLMs) have ushered a new era in the field of Artificial Intelligence (AI) through their exceptional natural language processing capabilities. From mathematical reasoning to code generation and even drafting legal opinions, LLMs find their applications in almost every field.

LLM 114

LLM Machine Learning Natural Language Processing Large Language Models 114

Marktechpost

JUNE 13, 2024

Transformer-based generative Large Language Models (LLMs) have shown considerable strength in a broad range of Natural Language Processing (NLP) tasks. For this, top AI firms like OpenAI, Google, and Baidu offer a language model-as-a-service (LMaaS) by granting access to their LLMs through APIs.

LLM 120

LLM Natural Language Processing Large Language Models NLP 120

Marktechpost

MARCH 3, 2025

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. Efficiency tests show NeoBERT processes 4,096-token batches 46.7% All credit for this research goes to the researchers of this project.

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BERT Data Scarcity Natural Language Processing Large Language Models 73

Marktechpost

DECEMBER 29, 2023

The exploration of natural language processing has been revolutionized with the advent of LLMs like GPT. These models showcase exceptional language comprehension and generation abilities but encounter significant hurdles. The retrieved data forms the foundation upon which the LLM generates its responses.

Natural Language Processing 141

Natural Language Processing LLM AI AI 141

Marktechpost

DECEMBER 31, 2023

Large Language Models (LLMs), the latest innovation of Artificial Intelligence (AI), use deep learning techniques to produce human-like text and perform various Natural Language Processing (NLP) and Natural Language Generation (NLG) tasks. If you like our work, you will love our newsletter.

AI Researcher 135

AI Researcher AI Research Large Language Models Natural Language Processing 135

Marktechpost

MARCH 2, 2024

Instruction tuning comes as a solution, which includes fine-tuning LLMs on instructions matched with replies that humans like. The input, a taxonomy, has been created with minimal human effort through LLM prompting and verification. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

Large Language Models 138

Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 138

Marktechpost

JUNE 2, 2024

Large Language Models (LLMs) have made significant advancements in natural language processing but face challenges due to memory and computational demands. This problem gets worse when LLMs are used in different situations with limited resources. LLM-QFA framework adapts resource-balanced sampling strategy.

Large Language Models 110

Large Language Models LLM Natural Language Processing AI Researcher 110

Marktechpost

JANUARY 19, 2024

Task-agnostic model pre-training is now the norm in Natural Language Processing, driven by the recent revolution in large language models (LLMs) like ChatGPT. These models showcase proficiency in tackling intricate reasoning tasks, adhering to instructions, and serving as the backbone for widely used AI assistants.

AI Researcher 120

AI Researcher AI Research Natural Language Processing Large Language Models 120

O'Reilly Media

NOVEMBER 19, 2024

Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost. See the primary sources “ REALM: Retrieval-Augmented Language Model Pre-Training ” by Kelvin Guu, et al., While the overall process may be more complicated in practice, this is the gist.

LLM 127

LLM NLP Hybrid AI Large Language Models 127

Marktechpost

SEPTEMBER 25, 2023

Large Language Models (LLMs) have made significant progress in text creation tasks, among other natural language processing tasks. One of the fundamental components of generative capability, the capacity to generate structured data, has drawn much attention in earlier research.

Large Language Models 126

Large Language Models LLM Natural Language Processing Categorization 126

Marktechpost

DECEMBER 7, 2023

Covering scaling laws, data utilization, architectural innovations, training strategies, and inference techniques, it outlines core LLM concepts and efficiency metrics. The review provides a thorough, up-to-date overview of methodologies contributing to efficient LLM development. Check out the Paper.

Large Language Models 107

Large Language Models Algorithm LLM Natural Language Processing 107

Marktechpost

NOVEMBER 24, 2024

Transformer architectures have revolutionized Natural Language Processing (NLP), enabling significant language understanding and generation progress. One promising solution is Speculative Decoding (SD), a method designed to accelerate LLM inference without compromising generated output quality.

LLM 85

LLM AI Researcher AI Research Auto-complete 85

Marktechpost

DECEMBER 19, 2024

The rapid development of Large Language Models (LLMs) has transformed natural language processing (NLP). Meanwhile, many so-called open-source models fail to fully embody the ideals of openness, withholding key elements like training data and fine-tuning processes and often applying restrictive licenses.

LLM 91

LLM Natural Language Processing NLP Large Language Models 91

Marktechpost

JANUARY 30, 2024

Though it has always played an essential part in natural language processing, textual data processing now sees new uses in the field. Because of this, analyzing textual data for LLMs is becoming more complicated. Modern LLM training frameworks demand a large amount of data to achieve state-of-the-art performance.

AI Researcher 109

AI Researcher AI Research Natural Language Processing LLM 109

Marktechpost

JUNE 21, 2024

Text embeddings (TEs) are low-dimensional vector representations of texts of different sizes, which are important for many natural language processing (NLP) tasks. Pre-trained language models, like BERT and GPT, have shown great success in various NLP tasks. 7B-instruct model but with the updated Qwen2-7B base model.

AI Researcher 111

AI Researcher AI Research BERT Natural Language Processing 111

Marktechpost

NOVEMBER 9, 2023

The biggest advancement in the field of Artificial Intelligence is the introduction of Large Language Models (LLMs). These Natural Language Processing (NLP) based models handle large and complicated datasets, which causes them to face a unique challenge in the finance industry. We are also on Telegram and WhatsApp.

Large Language Models 120

Large Language Models LLM NLP Natural Language Processing 120

Marktechpost

JUNE 22, 2023

2023 is the year of LLMs. A new LLM model is taking the spotlight one after the other. These models have revolutionized the field of natural language processing and are being increasingly utilized across various domains. Our language skills are developed through embodied interaction with the world.

AI Researcher 107

AI Researcher AI Research ChatGPT LLM 107

Marktechpost

MARCH 18, 2025

This approach is valuable for building domain-specific assistants, customer support systems, or any application where grounding LLM responses in specific documents is important. They are crucial for machine learning applications, particularly those involving natural language processing and image recognition.

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Metadata LLM Auto-complete Neural Network 88

Topbots

DECEMBER 5, 2023

Generated with DALL-E 3 In the rapidly evolving landscape of Natural Language Processing, 2023 emerged as a pivotal year, witnessing groundbreaking research in the realm of Large Language Models (LLMs). Top LLM Research Papers 2023 1. Sign up for more AI research updates.

LLM 111

LLM Large Language Models Natural Language Processing Chatbots 111

Marktechpost

SEPTEMBER 26, 2023

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a meteoric rise in people using and researching Large Language Models (LLMs), particularly in Natural Language Processing (NLP).

AI Researcher 119

AI Researcher AI Research Large Language Models Natural Language Processing 119

Marktechpost

JULY 6, 2024

Natural language processing is advancing rapidly, focusing on optimizing large language models (LLMs) for specific tasks. The results showed that ESFT maintained general task performance better than other PEFT methods like LoRA, making it a versatile and powerful tool for LLM customization.

Large Language Models 117

Large Language Models AI Researcher AI Research Natural Language Processing 117

Marktechpost

DECEMBER 29, 2023

In conclusion, the SuperContext method marks a significant stride in natural language processing. By effectively amalgamating the capabilities of LLMs with the specific expertise of SLMs, it addresses the longstanding issues of generalizability and factual accuracy. If you like our work, you will love our newsletter.

LLM 117

LLM Large Language Models Natural Language Processing Prompt Engineer 117