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., Large Language Models like GPT, BERT, PaLM, and LLaMa have successfully contributed to the advancement in the field of Artificial Intelligence.

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Marktechpost

JULY 3, 2023

With the release of the latest chatbot developed by OpenAI called ChatGPT, the field of AI has taken over the world as ChatGPT, due to its GPT’s transformer architecture, is always in the headlines. Almost every industry is utilizing the potential of AI and revolutionizing itself.

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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. The post Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training appeared first on MarkTechPost.

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Marktechpost

JULY 19, 2023

Examples of text-only LLMs include GPT-3 , BERT , RoBERTa , etc. Why is there a need for Multimodal Language Models The text-only LLMs like GPT-3 and BERT have a wide range of applications, such as writing articles, composing emails, and coding. However, this text-only approach has also highlighted the limitations of these models.

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Marktechpost

NOVEMBER 25, 2023

The practical success of deep learning in processing and modeling large amounts of high-dimensional and multi-modal data has grown exponentially in recent years. They believe the proposed computational paradigm shows tremendous promise in connecting deep learning theory and practice from a unified viewpoint of data compression.

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Viso.ai

DECEMBER 22, 2023

The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. This leap forward is due to the influence of foundation models in NLP, such as GPT and BERT. In this free live instance , the user can interactively segment objects and instances.

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Marktechpost

JULY 11, 2023

Even OpenAI’s DALL-E and Google’s BERT have contributed to making significant advances in recent times. Recently, a new AI tool has been released, which has even more potential than ChatGPT. GPT 4, which is the latest add-on to OpenAI’s deep learning models, is multimodal in nature. What is AutoGPT?

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Topbots

OCTOBER 4, 2023

The predictive AI algorithms can be used to predict a wide range of variables, including continuous variables (e.g., They can be based on basic machine learning models like linear regression, logistic regression, decision trees, and random forests. Sign up for more AI research updates. whether a customer will churn).

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Probably Approximately a Scientific Blog

JANUARY 12, 2021

In the last 5 years, popular media has made it seem that AI is nearly if not already solved by deep learning, with reports on super-human performance on speech recognition, image captioning, and object recognition. Credit for much of the content goes to the co-instructors, but any errors are mine. Using the AllenNLP demo.

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Applied Data Science

DECEMBER 23, 2022

The first computational linguistics methods tried to bypass the immense complexity of human language learning by hard-coding syntax and grammar rules in their models. These early systems had difficulties learning long-range dependencies but were effective enough to be used in tasks such as translation. What happened?

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Heartbeat

OCTOBER 10, 2023

RoBERTa RoBERTa (Robustly Optimized BERT Approach) is a natural language processing (NLP) model based on the BERT (Bidirectional Encoder Representations from Transformers) architecture. It was developed by Facebook AI Research and released in 2019. It is a state-of-the-art model for a variety of NLP tasks.

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AWS Machine Learning Blog

APRIL 29, 2024

Now, with today’s announcement, you have another straightforward compute option for workflows that need to train or fine-tune demanding deep learning models: running them on Trainium. He has worked as a researcher in academia, in customer-facing and engineering roles at MLOps startups, and as a product manager at Intel.

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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 process of adapting pre-trained models to new tasks or domains is an example of Transfer Learning , a fundamental concept in modern deep learning.

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Mlearning.ai

JUNE 8, 2023

A few embeddings for different data type For text data, models such as Word2Vec , GLoVE , and BERT transform words, sentences, or paragraphs into vector embeddings. However, it was not designed for transfer learning and needs to be trained for specific tasks using a separate model. What are Vector Embeddings?

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ODSC - Open Data Science

APRIL 11, 2023

Speaker: Akash Tandon, Co-Founder and Co-author of Advanced Analytics with PySpark | Looppanel and O’Reilly Media Self-Supervised and Unsupervised Learning for Conversational AI and NLP Self-supervised and Unsupervised learning techniques such as Few-shot and Zero-shot learning are changing the shape of AI research and product community.

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Marktechpost

JULY 16, 2023

Because of this, academics worldwide are looking at the potential benefits deep learning and large language models (LLMs) might bring to audio generation. In the last few weeks alone, four new papers have been published, each introducing a potentially useful audio model that can make further research in this area much easier.

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Marktechpost

NOVEMBER 17, 2023

A transformer model with an additional scalar output for each token that can be utilized as a value function in reinforcement learning is presented in AutoModelForCausalLMWithValueHead and AutoModelForSeq2SeqLMWithValueHead. All Credit For This Research Goes To the Researchers on This Project. How does TRL work?

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Marktechpost

NOVEMBER 3, 2023

A transformer model with an additional scalar output for each token that can be utilized as a value function in reinforcement learning is presented in AutoModelForCausalLMWithValueHead and AutoModelForSeq2SeqLMWithValueHead. All Credit For This Research Goes To the Researchers on This Project. How does TRL work?

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Applied Data Science

JANUARY 4, 2022

Transformers taking the AI world by storm The family of artificial neural networks (ANNs) saw a new member being born in 2017, the Transformer. Initially introduced for Natural Language Processing (NLP) applications like translation, this type of network was used in both Google’s BERT and OpenAI’s GPT-2 and GPT-3. But at what cost?

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Topbots

JULY 6, 2023

If you’d like to skip around, here are the language models we featured: GPT-3 by OpenAI LaMDA by Google PaLM by Google Flamingo by DeepMind BLIP-2 by Salesforce LLaMA by Meta AI GPT-4 by OpenAI If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material.

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LLM Large Language Models Natural Language Processing OpenAI 52

Sebastian Ruder

NOVEMBER 14, 2022

Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. The Deep Learning Indaba 2022 in Tunesia.

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Marktechpost

JULY 24, 2023

Researchers believe they can train a language model because of the competition to construct enormously large models that the power of scale has sparked. The initial BERT model is used for many real-world applications in natural language processing. However, this model already needed a substantial amount of computing to train.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation.

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ODSC - Open Data Science

FEBRUARY 14, 2023

For example, Seek AI , a developer of AI-powered intelligent data solutions, announced it has raised $7.5 Seek AI uses complex deep-learning foundation models with hundreds of billions of parameters. million in a combination of pre-seed and seed funding.

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Heartbeat

OCTOBER 12, 2023

From recognizing objects in images to discerning sentiment in audio clips, the amalgamation of language models with multi-modal learning opens doors to uncharted possibilities in AI research, development, and application in industries ranging from healthcare and entertainment to autonomous vehicles and beyond.

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Large Language Models Neural Network Artificial Intelligence Artificial Intelligence 59

Unite.AI

SEPTEMBER 20, 2023

Hugging Face is an AI research lab and hub that has built a community of scholars, researchers, and enthusiasts. In a short span of time, Hugging Face has garnered a substantial presence in the AI space. These are deep learning models used in NLP.

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AWS Machine Learning Blog

MARCH 6, 2023

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. Gili Nachum is a senior AI/ML Specialist Solutions Architect who works as part of the EMEA Amazon Machine Learning team.

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Topbots

JUNE 15, 2023

Are All Languages Created Equal in Multilingual BERT? In Proceedings of the 5th Workshop on Representation Learning for NLP , pages 120–130, Online. Sign up for more AI research updates. Email Address * Name * First Last Company * What areas of AI research are you interested in? Shijie Wu and Mark Dredze.

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Marktechpost

APRIL 16, 2024

DistilBERT: This model is a simplified and expedited version of Google’s 2018 deep learning NLP AI model, BERT (Bidirectional Encoder Representations Transformer). DistilBERT reduces the size and processing requirements of BERT while preserving its essential architecture.

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Snorkel AI

OCTOBER 17, 2023

For years you’ve been a big leader in applying AI—generally in the NLP and AI research communities, but also specifically for finance. Obviously, you were part of an org that was already very sophisticated on the research and operationalization side. You were able to share what you did with the community.

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Large Language Models NLP Prompt Engineer Prompt Engineering 64

Snorkel AI

OCTOBER 17, 2023

For years you’ve been a big leader in applying AI—generally in the NLP and AI research communities, but also specifically for finance. Obviously, you were part of an org that was already very sophisticated on the research and operationalization side. You were able to share what you did with the community.

Large Language Models 59

Large Language Models NLP Prompt Engineer Prompt Engineering 59

John Snow Labs

MAY 8, 2024

Nevertheless, the trajectory shifted remarkably with the introduction of advanced architectures like BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer), including subsequent versions such as OpenAI’s GPT-3. A notable study by Esteva et al.

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Topbots

JUNE 6, 2023

Autoencoding models, which are better suited for information extraction, distillation and other analytical tasks, are resting in the background — but let’s not forget that the initial LLM breakthrough in 2018 happened with BERT, an autoencoding model. Sign up for more AI research updates. Enjoy this article?

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