Marktechpost

SEPTEMBER 14, 2023

In the ever-evolving field of Natural Language Processing (NLP), the development of machine translation and language models has been primarily driven by the availability of vast training datasets in languages like English. All Credit For This Research Goes To the Researchers on This Project.

AI Researcher 127

AI Researcher AI Research Natural Language Processing NLP 127

Marktechpost

OCTOBER 7, 2023

The emergence of Large Language Models (LLMs) in natural language processing represents a groundbreaking development. Ultimately, the team hopes to empower researchers and developers to harness the potential of long-context LLMs for a wide array of applications, ushering in a new era of natural language processing.

AI Researcher 130

AI Researcher AI Research Natural Language Processing Large Language Models 130

Marktechpost

MARCH 2, 2024

The currently existing techniques for instruction tuning frequently rely on Natural Language Processing (NLP) datasets, which are scarce, or self-instruct approaches that produce artificial datasets having difficulty with diversity. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

Large Language Models 132

Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 132

Marktechpost

DECEMBER 27, 2023

Artificial intelligence’s ascent of large language models (LLMs) has redefined natural language processing. Quantization, the process of reducing model weights and activations to lower bit precision, is crucial for deploying models on resource-constrained devices.

Machine Learning 100

Machine Learning AI Researcher AI Research Large Language Models 100

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. The post Do Language Models Know When They Are Hallucinating?

AI Researcher 134

AI Researcher AI Research Large Language Models Natural Language Processing 134

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

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. Multiple teams working on different natural language processing (NLP) activities have already used Unitxt as a core utility for LLMs in IBM.

AI Researcher 90

AI Researcher AI Research Natural Language Processing LLM 90

Marktechpost

OCTOBER 17, 2023

ProGen’s underlying methodology involves a next-token prediction mechanism similar to the predictive algorithms utilized in natural language processing. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

Artificial Intelligence 81

Artificial Intelligence Artificial Intelligence AI Researcher AI Research 81

Marktechpost

DECEMBER 9, 2023

These findings highlight the potential for continued advancements in natural language processing and its application to problem-solving. Future research directions include evaluating the MCMC-EM fine-tuning technique on diverse tasks and datasets to assess its generalizability.

Machine Learning 110

Machine Learning Algorithm AI Researcher AI Research 110

Marktechpost

MARCH 18, 2024

In a new AI research paper , Google researchers introduced a pre-trained scorer model, Cappy , to enhance and surpass the performance of large multi-task language models. The paper aims to resolve challenges faced in the large language models (LLMs). Also, don’t forget to follow us on Twitter.

Machine Learning 114

Machine Learning Natural Language Processing Large Language Models LLM 114

Marktechpost

AUGUST 5, 2023

Recently introduced Large Language Models (LLMs) have taken the Artificial Intelligence (AI) community by storm. These models have been able to successfully imitate human beings by using super-good Natural Language Processing (NLP), Natural Language Generation (NLG) and Natural Language Understanding (NLU).

AI Researcher 98

AI Researcher AI Research Large Language Models Natural Language Processing 98

Marktechpost

SEPTEMBER 30, 2023

Researchers continually strive to build models that can understand, reason, and generate text like humans in the rapidly evolving field of natural language processing. These models must grapple with complex linguistic nuances, bridge language gaps, and adapt to diverse tasks. Check out the Project and Github.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Natural Language Processing NLP 120

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

Natural Language Processing 141

Natural Language Processing LLM AI AI 141

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 105

AI Researcher AI Research Large Language Models LLM 105

Marktechpost

SEPTEMBER 9, 2023

The demand for powerful and versatile language models has become more pressing in natural language processing and artificial intelligence. However, building language models that can excel in various language tasks remains a complex challenge. trillion tokens. Check out the Reference Article and Project.

Natural Language Processing 134

Natural Language Processing Large Language Models Artificial Intelligence Artificial Intelligence 134

Unite.AI

FEBRUARY 7, 2024

Machine learning (ML) is a powerful technology that can solve complex problems and deliver customer value. However, ML models are challenging to develop and deploy. This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses.

Machine Learning 294

Machine Learning Large Language Models LLM BERT 294

Marktechpost

JULY 15, 2023

billion parameters) of the attention heads, the ability to perform zero- or few-shot in-context learning on 14 different natural language processing (NLP) datasets/tasks remained largely unaffected. Strikingly, even after removing up to 70% (around 15.7 Check out the Paper and Blog.

Large Language Models 83

Large Language Models AI Researcher AI Research Computational Linguistics 83

Heartbeat

JUNE 5, 2023

Without proper tracking, optimization, and collaboration tools, ML practitioners can quickly become overwhelmed and lose track of their progress. Comet’s integrations are modular and customizable, enabling teams to incorporate new approaches and tools to their ML platforms. This is where Comet comes in.

ML 59

ML Machine Learning Natural Language Processing Data Scientist 59

Marktechpost

DECEMBER 19, 2023

Natural language processing, conversational AI, time series analysis, and indirect sequential formats (such as pictures and graphs) are common examples of the complicated sequential data processing jobs involved in these. All credit for this research goes to the researchers of this project.

Neural Network 130

Neural Network Natural Language Processing Deep Learning Artificial Intelligence 130

Marktechpost

MARCH 24, 2024

Large language models have revolutionized natural language processing, providing machines with human-like language abilities. At FAIR, Meta’s AI research division, scientists have delved into this issue, recognizing that the Reversal Curse is not just an academic concern.

Artificial Intelligence 134

Artificial Intelligence Artificial Intelligence Large Language Models Natural Language Processing 134

Marktechpost

MARCH 24, 2024

Artificial intelligence’s application is revolutionizing technology in fields like NLP (Natural Language Processing) and ML (Machine Learning). Traditional tools, like Jupyter Notebooks, can be difficult and intimidating to people new to data research. Subscribe to our AI Research Startup Newsletter Here.

Natural Language Processing 121

Natural Language Processing Data Scientist Artificial Intelligence Artificial Intelligence 121

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. ucf.edu Generative AI and Generative Conversations: Contrasting Futures for Organizational Change?

Natural Language Processing 199

Natural Language Processing AI AI Artificial Intelligence 199

Marktechpost

JULY 14, 2023

Model explanations have proved essential for trust and interpretability in natural language processing (NLP). Don’t forget to join our 26k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

AI Researcher 52

AI Researcher AI Research Natural Language Processing Explainability 52

Marktechpost

JULY 12, 2023

These networks may carry out a range of human-like activities, including face recognition, speech recognition, object identification, natural language processing, and content synthesis, which include several layers and a lot of neurons or transformer blocks.

Neural Network 94

Neural Network Computer Vision AI Researcher AI Research 94

Marktechpost

DECEMBER 18, 2023

The attention mechanism has played a significant role in natural language processing and large language models. All credit for this research goes to the researchers of this project. The attention mechanism allows the transformer decoder to focus on the most relevant parts of the input sequence.

Natural Language Processing 91

Natural Language Processing Large Language Models Chatbots Explainability 91

Marktechpost

JULY 23, 2023

Recent research suggests that by evaluating models solely based on binary human/machine choice, open-sourced models trained via dataset distillation from proprietary models can close the performance gap with the proprietary LLMs. All Credit For This Research Goes To the Researchers on This Project.

AI Researcher 96

AI Researcher AI Research LLM Natural Language Processing 96

Marktechpost

AUGUST 21, 2023

A multifaceted challenge has arisen in the expansive realm of natural language processing: the ability to adeptly comprehend and respond to intricate and lengthy instructions. Contemporary natural language processing techniques rely heavily on tools and methodologies that grapple with the complexities of protracted instructions.

Natural Language Processing 98

Natural Language Processing AI AI AI Researcher 98

Marktechpost

MAY 4, 2024

Natural Language Processing (NLP) seeks to enable computers to comprehend and interact using human language. A critical challenge in NLP is evaluating language models (LMs), which generate responses across various tasks. The diversity of these tasks makes it difficult to assess the quality of responses effectively.

Natural Language Processing 117

Natural Language Processing NLP AI Researcher AI Research 117

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. All Credit For This Research Goes To the Researchers on This Project.

LLM 95

LLM AI Researcher AI Research Prompt Engineer 95

Marktechpost

DECEMBER 7, 2023

The intersection of computer vision and natural language processing has long grappled with the challenge of generating regional captions for entities within images. Researchers have pursued methods that efficiently address this gap, seeking ways to enable models to understand and describe diverse image elements.

Computer Vision 89

Computer Vision Natural Language Processing Large Language Models AI Researcher 89

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.

LLM 108

LLM Machine Learning Natural Language Processing Large Language Models 108

Marktechpost

JULY 22, 2023

The recent rise in the use of large language models (LLMs) has completely transformed the field of natural language processing (NLP) especially prompting LLMs to generate open-ended text. All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 52

Large Language Models AI Researcher AI Research Natural Language Processing 52

Marktechpost

SEPTEMBER 12, 2023

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer Vision, are getting significantly popular. Check out the Paper.

Large Language Models 120

Large Language Models Natural Language Processing Computer Vision Artificial Intelligence 120

Marktechpost

OCTOBER 16, 2023

Models like Llama-2-70B-Chat, which excel in natural language processing but struggle with coding, can efficiently use basic tools to aid reasoning because the action space is constrained, and the effort of employing such tools is low. All Credit For This Research Goes To the Researchers on This Project.

Natural Language Processing 119

Natural Language Processing Large Language Models Robotics AI 119

Marktechpost

NOVEMBER 10, 2023

One such groundbreaking development is the Vision Transformer (ViT) model, which reimagines the way images are processed by transforming them into sequences of patches and applying standard Transformer encoders, initially used for natural language processing (NLP) tasks, to extract valuable insights from visual data.

Convolutional Neural Networks 99

Convolutional Neural Networks Computer Vision Natural Language Processing Neural Network 99

Marktechpost

DECEMBER 23, 2023

DNNs have gained immense prominence in various fields, including computer vision, natural language processing, and pattern recognition, due to their ability to handle large volumes of data and extract high-level features, leading to remarkable advancements in machine learning and AI applications. Check out the Paper.

Neural Network 122

Neural Network Machine Learning Natural Language Processing Computer Vision 122

Marktechpost

SEPTEMBER 1, 2023

LLMs have become increasingly popular in the NLP (natural language processing) community in recent years. Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans.

Large Language Models 137

Large Language Models Neural Network Natural Language Processing LLM 137