Marktechpost

APRIL 25, 2024

Are you curious about the intricate world of large language models (LLMs) and the technical jargon that surrounds them? LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text.

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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.

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Marktechpost

JANUARY 8, 2024

The increasing reliance on cloud-hosted large language models for inference services has raised privacy concerns, especially when handling sensitive data. Secure Multi-Party Computing (SMPC) has emerged as a solution for preserving the privacy of both inference data and model parameters. Check out the Paper.

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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

APRIL 6, 2024

Transformers have transformed the field of NLP over the last few years, with LLMs like OpenAI’s GPT series, BERT, and Claude Series, etc. The introduction of the transformer architecture has provided a new paradigm for building models that understand and generate human language with unprecedented accuracy and fluency.

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Marktechpost

DECEMBER 13, 2023

The well-known Large Language Models (LLMs) like GPT, BERT, PaLM, and LLaMA have brought in some great advancements in Natural Language Processing (NLP) and Natural Language Generation (NLG). If you like our work, you will love our newsletter.

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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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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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Marktechpost

JANUARY 10, 2024

BERT is a language model which was released by Google in 2018. It is based on the transformer architecture and is known for its significant improvement over previous state-of-the-art models. BERT-Base reached an average GLUE score of 83.2% hours taken by BERT-Large. hours compared to 23.35

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AWS Machine Learning Blog

FEBRUARY 6, 2024

Transformers, BERT, and GPT The transformer architecture is a neural network architecture that is used for natural language processing (NLP) tasks. BERT is trained on sequences where some of the words in a sentence are masked, and it has to fill in those words taking into account both the words before and after the masked words.

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Flipboard

JULY 4, 2023

Large Language Models have shown immense growth and advancements in recent times. The field of Artificial Intelligence is booming with every new release of these models. Famous LLMs like GPT, BERT, PaLM, and LLaMa are revolutionizing the AI industry by imitating humans.

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Marktechpost

JANUARY 12, 2024

At the same time, Llama and other large language models have emerged and are revolutionizing NLP with their exceptional text understanding, generation, and generalization capabilities. This Paper Explores the Detective Skills of Large Language Models in Information Extraction appeared first on MarkTechPost.

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Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). These LLMs are artificial intelligence (AI) systems trained using large data sets, including text and code.

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ODSC - Open Data Science

SEPTEMBER 6, 2023

Most people who have experience working with large language models such as Google’s Bard or OpenAI’s ChatGPT have worked with an LLM that is general, and not industry-specific. But as time has gone on, many industries have realized the power of these models. This is where BioBERT comes in. Get your pass today !

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Marktechpost

JULY 29, 2023

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. A number of benchmarks are used to access and evaluate these developments in the field of Artificial Intelligence.

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Marktechpost

SEPTEMBER 17, 2023

Large language models (LLMs) built on transformers, including ChatGPT and GPT-4, have demonstrated amazing natural language processing abilities. The creation of transformer-based NLP models has sparked advancements in designing and using transformer-based models in computer vision and other modalities.

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ODSC - Open Data Science

JANUARY 4, 2024

Large Language Models , or LLMS for short, have taken the world by storm in 2023. These models have been used for everything from generated text and helping coders find errors in codes, to answering questions and even creating works of art. PaLM 2 : PaLM is a large language model that is also from Google AI.

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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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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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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

JULY 3, 2023

Artificial Intelligence has limitless possibilities, which is truly evident from the new releases and developments it introduces everyone to. From deep learning, Natural Language Processing (NLP), and Natural Language Understanding (NLU) to Computer Vision, AI is propelling everyone into a future with endless innovations.

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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

MARCH 28, 2024

The significant computational demands of large language models (LLMs) have hindered their adoption across various sectors. This hindrance has shifted attention towards compression techniques designed to reduce the model size and computational needs without major performance trade-offs.

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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., Being trained on massive amounts of datasets, these LLMs capture a vast amount of knowledge.

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Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. The end goal of such a model is to understand and be able to generate human-like text.

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Unite.AI

FEBRUARY 7, 2024

This is why Machine Learning Operations (MLOps) has emerged as a paradigm to offer scalable and measurable values to Artificial Intelligence (AI) driven businesses. MLOps make ML models faster, safer, and more reliable in production. But more than MLOps is needed for a new type of ML model called Large Language Models (LLMs).

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Unite.AI

SEPTEMBER 24, 2023

The advent of artificial intelligence (AI) chatbots has reshaped conversational experiences, bringing forth advancements that seem to parallel human understanding and usage of language. These chatbots, fueled by substantial language models, are becoming adept at navigating the complexities of human interaction.

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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.

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AI Weekly

JANUARY 4, 2024

Powered by superai.com In the News Top AI Podcasts in 2024 In this article, we will explore the top AI podcasts for 2024 that offer insightful discussions, interviews, news, trends, and expert insights in the field of artificial intelligence. Apptronik launched its humanoid robot "Apollo" in August.

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ODSC - Open Data Science

JANUARY 25, 2024

Smith, introduces a concept known as “proxy-tuning,” a method that promises to streamline the adaptation of large pretrained LMs efficiently. Traditionally, large language models like GPT and BERT have required extensive resources for fine-tuning to meet specific needs or to enhance their performance.

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Unite.AI

APRIL 26, 2024

The advancements in large language models have significantly accelerated the development of natural language processing , or NLP. More recent frameworks like LLaMA and BLIP leverage tailored instruction data to devise efficient strategies that demonstrate the potent capabilities of the model.

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Marktechpost

MAY 10, 2024

Moreover, hybrid models such as BERT and T5 combine various architectural strengths, enhancing language models’ efficiency and capability in understanding and generating nuanced text. Check out the Paper. All credit for this research goes to the researchers of this project.

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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.

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Unite.AI

JULY 11, 2023

The Artificial Intelligence (AI) ecosystem has evolved rapidly in the last five years, with Generative AI (GAI) leading this evolution. What is Generative Artificial Intelligence, how it works, what its applications are, and how it differs from standard machine learning (ML) techniques. billion in 2023.

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Marktechpost

MAY 8, 2024

Language models are pivotal in advancing artificial intelligence (AI), enhancing how machines process and generate human-like text. As these models become increasingly complex, they leverage expansive data volumes and sophisticated architectures to optimize performance and efficiency.

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Marktechpost

DECEMBER 5, 2023

Large Language Models (LLMs), like GPT, PaLM, LLaMA, etc., Their ability to utilize the strength of Natural Language Processing, Generation, and Understanding by generating content, answering questions, summarizing text, and so on have made LLMs the talk of the town in the last few months.

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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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