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.

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Marktechpost

JUNE 4, 2023

GPT 4, the latest version of language models released by OpenAI, is multimodal in nature, i.e., it takes in input in the form of text and images, unlike the previous versions. Don’t forget to join our 22k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Large Language Models AI Researcher AI Research BERT 104

Marktechpost

JUNE 19, 2023

Large Language Models have shown remarkable performance in a massive range of tasks. From producing unique and creative content and questioning answers to translating languages and summarizing textual paragraphs, LLMs have been successful in imitating humans. Check Out The Paper , Project, and Github.

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Large Language Models LLM BERT AI Tools 120

Marktechpost

JULY 5, 2023

With the help of this model, which recognizes terms with legal meaning, legal situations inside user input may be quickly and effectively identified and analyzed. A model that measures the similarity between users’ ordinary language and a dataset of 930,000 pertinent court case texts is trained using BERT.

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Marktechpost

JUNE 12, 2023

Large Language Models are rapidly advancing with the huge success of Generative Artificial Intelligence in the past few months. This chatbot, based on Natural Language Processing (NLP) and Natural Language Understanding (NLU), allows users to generate meaningful text just like humans.

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Large Language Models Natural Language Processing BERT Artificial Intelligence 104

Marktechpost

JULY 16, 2023

Large Language Models have taken the Artificial Intelligence community by storm. The well-known large language models such as GPT, DALLE, and BERT perform extraordinary tasks and ease lives.

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Large Language Models LLM Artificial Intelligence Artificial Intelligence 94

Marktechpost

AUGUST 7, 2023

It has been able to successfully improve the performance of various NLP tasks, such as sentiment analysis, question answering, natural language inference, named entity recognition, and textual similarity. Models like GPT, BERT, and PaLM are getting popular for all the good reasons.

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BERT NLP Natural Language Processing Large Language Models 98

Marktechpost

JULY 29, 2023

Natural Language Processing has evolved significantly in recent years, especially with the creation of sophisticated language models. Almost all natural language tasks, including translation and reasoning, have seen notable advances in the performance of well-known models like GPT 3.5, GPT 4, BERT, PaLM, etc.

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Large Language Models BERT Natural Language Processing Artificial Intelligence 98

Marktechpost

JULY 1, 2023

Large Language Models (LLMs) have proven to be really effective in the fields of Natural Language Processing (NLP) and Natural Language Understanding (NLU). Famous LLMs like GPT, BERT, PaLM, etc., It is a promising addition to the developments in AI. Check Out the Paper and Github Repo.

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Large Language Models Natural Language Processing BERT AI Tools 104

AI Weekly

JANUARY 4, 2024

businessinsider.com Tech Trends 2024: AI and electric vehicle deals From computer code, to artwork, to essays, generative AI systems can quickly create a range of content which, while not perfect, has become an essential tool in some industries and professions. Apptronik launched its humanoid robot "Apollo" in August.

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Marktechpost

AUGUST 1, 2023

GPT 4, the latest version of language models released by OpenAI, is multimodal in nature, i.e., it takes in input in the form of text and images, unlike the previous versions. Don’t forget to join our 22k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Large Language Models AI Researcher AI Research BERT 81

Marktechpost

NOVEMBER 10, 2023

In the same context, a research team published a new paper introducing a novel data augmentation method called “AugGPT.” ” This method leverages ChatGPT, a large language model, to generate auxiliary samples for few-shot text classification tasks. This process enhances data diversity.

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Marktechpost

JULY 3, 2023

Almost every industry is utilizing the potential of AI and revolutionizing itself. The excellent technological advancements, particularly in the areas of Large Language Models (LLMs), LangChain, and Vector Databases, are responsible for this remarkable development.

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Large Language Models Natural Language Processing LLM BERT 98

John Snow Labs

JUNE 27, 2023

Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. What are Large Language Models (LLMs)?

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Large Language Models BERT Natural Language Processing NLP 52

Marktechpost

JUNE 21, 2024

Pre-trained language models, like BERT and GPT, have shown great success in various NLP tasks. However, getting a high-quality sentence embedding from these models is challenging due to the anisotropic embedding spaces created by the masked language modeling objective. 7B-instruct model.

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AI Researcher AI Research BERT Natural Language Processing 111

Marktechpost

SEPTEMBER 6, 2024

Machine learning models, especially those designed for code generation, heavily depend on high-quality data during pretraining. This field has seen rapid advancement, with large language models (LLMs) trained on extensive datasets containing code from various sources. Join our Telegram Channel.

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AI Researcher AI Research BERT Data Quality 104

Unite.AI

AUGUST 15, 2024

Leveraging Advanced AI: Llama2 and Brain Signals The AI component of MindSpeech was powered by the Llama2 Large Language Model (LLM), a sophisticated text generation tool guided by brain signal-generated embeddings. Key metrics such as BLEU-1 and BERT P scores were used to evaluate the accuracy of the AI model.

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Large Language Models BERT LLM AI 144

Marktechpost

JANUARY 3, 2024

Using methods like approximate closest neighbor search, text embeddings in information retrieval (IR) effectively retrieve a small group of candidate documents from a large corpus at the first retrieval stage. These techniques, however, are unable to capture the rich contextual information included in real language fully.

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AWS Machine Learning Blog

MARCH 6, 2023

Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical.

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Large Language Models LLM Machine Learning ML 93

Flipboard

JULY 10, 2023

LLMs stands for Large Language Models. These are advanced machine learning models that are trained to comprehend massive volumes of text data and generate natural language. Examples of LLMs include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).

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Marktechpost

DECEMBER 10, 2023

Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. All credit for this research goes to the researchers of this project.

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Heartbeat

OCTOBER 12, 2023

Large language models have been game-changers in artificial intelligence, but the world is much more than just text. These language models are breaking boundaries, venturing into a new era of AI — Multi-Modal Learning. However, the influence of large language models extends beyond text alone.

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Topbots

APRIL 11, 2023

In this article, we will delve into the latest advancements in the world of large-scale language models, exploring enhancements introduced by each model, their capabilities, and potential applications. The Most Important Large Language Models (LLMs) in 2023 1. billion word corpus).

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Marktechpost

JANUARY 4, 2024

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. Training these models, however, is challenging. If you like our work, you will love our newsletter.

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Computational Linguistics Large Language Models LLM BERT 120

Marktechpost

NOVEMBER 15, 2023

This model consists of two primary modules: A pre-trained BERT model is employed to extract pertinent information from the input text, and A diffusion UNet model processes the output from BERT. It is built upon a pre-trained BERT model. If you like our work, you will love our newsletter.

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Convolutional Neural Networks BERT Neural Network Machine Learning 122

Marktechpost

NOVEMBER 22, 2023

Large language models are becoming increasingly complex, making evaluation more difficult. An embedding similarity search looks at the embeddings of previously trained models (like BERT) to discover related and maybe polluted cases. All credit for this research goes to the researchers of this project.

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Large Language Models BERT LLM Explainability 123

Marktechpost

APRIL 6, 2024

The evolution of large language models (LLMs) marks a transition toward systems capable of understanding and expressing languages beyond the dominant English, acknowledging the global diversity of linguistic and cultural landscapes. Codex further explores the integration of code generation within LLMs.

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Large Language Models BERT LLM OpenAI 111

AWS Machine Learning Blog

AUGUST 2, 2024

Foundational large language models (LLMs) alone are not suitable to model such data because the underlying data distributions and relationships don’t correspond to what LLMs learn from their pre-training data corpuses. GraphStorm provides different ways to fine-tune the BERT models, depending on the task types.

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Marktechpost

SEPTEMBER 30, 2024

Large Language Models (LLMs) have revolutionized artificial intelligence, impacting various scientific and engineering disciplines. The Transformer architecture, initially designed for machine translation, has become the foundation for GPT models, significantly advancing the field. Check out the Paper.

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LLM Large Language Models BERT Artificial Intelligence 113

Marktechpost

JULY 24, 2023

Large Language Models (LLMs) have successfully proven to be the best innovation in the field of Artificial Intelligence. From BERT, PaLM, and GPT to LLaMa DALL-E, these models have shown incredible performance in understanding and generating language for the purpose of imitating humans.

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Large Language Models LLM BERT Artificial Intelligence 98

Marktechpost

AUGUST 3, 2023

Also, the limited number of available music-language datasets poses a challenge. With the scarcity of datasets, training a music captioning model successfully doesn’t remain easy. Large language models (LLMs) could be a potential solution for music caption generation. They opted for the powerful GPT-3.5

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Data Scarcity Large Language Models BERT Natural Language Processing 52

Towards AI

JULY 12, 2024

The authors of the paper “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” highlight the risks large language models pose to humanity’s safety as they become bigger and propose mitigation strategies AI researchers and practitioners can incorporate in the development of such models.

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Large Language Models BERT Artificial Intelligence Artificial Intelligence 91

Marktechpost

JULY 5, 2023

This GPT transformer architecture-based model imitates humans by answering questions accurately just like a human, generates content for blogs, social media, research, etc., translates languages, summarizes long textual paragraphs while retaining the important key points, and even generates code samples.

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Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 109

AWS Machine Learning Blog

SEPTEMBER 16, 2024

Benefiting from recent advance in large language models (LLMs), a variety of computational biology tasks can be solved by fine-tuning biological LLMs pre-trained on billions of known biological sequences. DNABERT is a pre-trained transformer model with non-overlapping human DNA sequence data.

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Natural Language Processing Large Language Models BERT Neural Network 116

Marktechpost

MAY 27, 2024

General-purpose architectures like BERT, GPT-2, and BART perform strongly on various NLP tasks. Retrieval-based methods, such as Dense Passage Retrieval, improve performance across open-domain question answering, fact verification, and question generation, demonstrating the benefits of integrating retrieval mechanisms in NLP models.

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Natural Language Processing NLP BERT AI Researcher 125

Marktechpost

JULY 19, 2023

Large language models (LLMs) are computer models capable of analyzing and generating text. Examples of text-only LLMs include GPT-3 , BERT , RoBERTa , etc. This allows the models to generate responses incorporating information from multiple modalities, leading to more accurate and contextual outputs.

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Marktechpost

DECEMBER 23, 2024

Various Large Language Models (LLMs) have attempted to address the challenge of event data extraction, each with distinct approaches and capabilities. All credit for this research goes to the researchers of this project. Trending: LG AI Research Releases EXAONE 3.5: Meta’s Llama 3.1,

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