Great Learning

MARCH 18, 2024

In the continuously evolving artificial intelligence (AI) landscape, the quest for more interactive and intuitive systems has led to note-worthy advancements in natural language processing (NLP) and machine learning (ML).

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Towards AI

JULY 17, 2023

Natural language processing, computer vision, machine learning I recently moved from the computer vision (CV) domain to the natural language processing (NLP) domain and found some interesting observations. Different languages have different vocabulary and grammar.

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AI News

JUNE 28, 2023

In this week’s round-up, we share the top 10 ways AI and ML technologies are transforming the world’s data centres, driving efficiencies and sustainability Across the world’s industries, AI and ML are enabling a huge degree of transformation. Alongside this, the models can identify the optimum conditions and WUE for a data centre.

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Marktechpost

OCTOBER 28, 2023

A model’s capacity to generalize or effectively apply its learned knowledge to new contexts is essential to the ongoing success of Natural Language Processing (NLP). Having the taxonomy in place makes it easier to get good generalizations, which further fosters the growth of Natural Language Processing.

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Heartbeat

FEBRUARY 8, 2023

Source: Author The field of natural language processing (NLP), which studies how computer science and human communication interact, is rapidly growing. By enabling robots to comprehend, interpret, and produce natural language, NLP opens up a world of research and application possibilities. We asked them!

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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.

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Marktechpost

MARCH 30, 2024

Vision Language Models (VLMs) emerge as a result of a unique integration of Computer Vision (CV) and Natural Language Processing (NLP). Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Marktechpost

APRIL 7, 2024

The fields of Natural Language Processing (NLP) and Natural Language Generation (NLG) have undergone amazing transformations since the introduction of Large Language Models (LLMs) and multimodal foundation models. These models, which include GPT4V, Claude, and Gemini, combine visual encoders and LLMs.

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AI Weekly

APRIL 20, 2023

Sponsor Access to World-Class AI/ML Programs from Top Universities Developing future-ready skills in artificial intelligence and machine learning are key to unlocking your career growth. Explore upcoming AI/ML courses from top global universities and join 250,000+ professionals taking their next step. Learn more] sjv.io

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Marktechpost

MARCH 1, 2024

The conventional autoregressive decoding process, which sequentially generates one token at a time, poses a significant bottleneck, making the quest for high-speed inference a critical challenge in the field. In conclusion, introducing the Ouroboros framework is pivotal in evolving Large Language Models.

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Marktechpost

MAY 3, 2024

There has been rapid growth in the open-source landscape for Large Language Models (LLMs) after the release of the Llama3 model and its successor, Llama 2, by Meta in 2023. These models have played an important role in this dynamic field by influencing natural language processing (NLP) significantly.

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Marktechpost

MARCH 24, 2024

Large language models have revolutionized natural language processing, providing machines with human-like language abilities. ’ This limitation poses a significant challenge in the pursuit of truly intelligent systems. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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AI News

JULY 28, 2023

According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years. Advancements in AI and ML are transforming the landscape and creating exciting new job opportunities.

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Marktechpost

FEBRUARY 29, 2024

Large Language Models (LLMs) have transformed natural language processing, offering user modeling and personalization opportunities. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. However, effectively integrating user interaction data is challenging.

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Marktechpost

MARCH 3, 2024

The field of Artificial Intelligence (AI) is significantly pushing the envelope of technology, thanks to the amazing capabilities of Large Language Models (LLMs). These models based on Natural Language Processing, Understanding, and Generation have demonstrated exceptional skills and potential in almost every industry.

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Marktechpost

MARCH 8, 2024

In artificial intelligence, the surge in large language model (LLM) development has significantly transformed how machines understand and generate text, mimicking human conversation with remarkable accuracy. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup.

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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. Check out the Paper. Also, don’t forget to follow us on Twitter and Google News.

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Pickl AI

APRIL 25, 2023

Artificial Intelligence is a transformative technology that popularly utilizes in the global platform. The following blog hence will contain detailed information on the 5 Important Subsets of AI (Artificial Intelligence). What are the 5 Important Subsets of AI (Artificial Intelligence)? What is Robotics?

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Marktechpost

MARCH 5, 2024

In recent years, the landscape of natural language processing (NLP) has been dramatically reshaped by the emergence of Large Language Models (LLMs). Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper.

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Marktechpost

OCTOBER 19, 2023

They have revolutionized the field of artificial intelligence, particularly in natural language processing and various other tasks in machine learning. A type of deep learning model architecture is called Transformers in the context of many state-of-the-art AI models. Check out the Paper. We are also on WhatsApp.

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Marktechpost

FEBRUARY 3, 2024

In the dynamic field of Artificial Intelligence (AI), the trajectory from one foundational model to another has represented an amazing paradigm shift. However, this strategy has a problem as byte-level processing results in substantially longer sequences than token-level modeling. While requiring 2.2

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Marktechpost

JULY 17, 2023

Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques are used in the process of AI content detection to automatically recognize and assess the content of a text. AI is a tool that detects plagiarism in written content using natural language processing.

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Chatbots Life

APRIL 27, 2024

For enterprise software, AI and ML are like special effects. By examining how AI and ML in enterprise software can drive business success, we aim to highlight these technologies’ transformational potential and underscore their importance in today’s competitive business environment.

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Marktechpost

OCTOBER 17, 2023

However, conventional approaches to protein engineering have been limited by the reliance on random mutation and natural selection, leading to challenges in precise protein design. ProGen’s underlying methodology involves a next-token prediction mechanism similar to the predictive algorithms utilized in natural language processing.

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Lexalytics

NOVEMBER 23, 2021

With the rise of natural disasters exacerbated by climate change, governments and agencies struggle to coordinate effective relief programs. Artificial intelligence (AI), machine learning ( ML ), and natural language processing ( NLP ) can help. Here’s how.

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Marktechpost

OCTOBER 6, 2023

Researchers have used reinforcement learning from human feedback (RLHF) in natural language processing (NLP) to direct big language models toward human preferences and values. However, more than merely enhancing model designs and pre-training data is required to overcome these pervasive issues.

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Pickl AI

JANUARY 29, 2024

2024 Tech breakdown: Understanding Data Science vs ML vs AI Quoting Eric Schmidt , the former CEO of Google, ‘There were 5 exabytes of information created between the dawn of civilisation through 2003, but that much information is now created every two days.’ AI comprises Natural Language Processing, computer vision, and robotics.

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Marktechpost

JULY 19, 2023

By using more advanced algorithms and incorporating multimodality, GPT-4 is poised to take natural language processing to the next level, allowing it to tackle more complex reasoning problems and further improve its ability to generate human-like responses.

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Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. If you like our work, you will love our newsletter.

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Marktechpost

JULY 4, 2023

Applications Natural Language Processing: In NLP, prompt engineering creates prompts that help AI systems comprehend human language and respond suitably. Artificial Intelligence (AI) has made extraordinary progress in recent years, modifying how we live, work, and interact with technology.

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Marktechpost

APRIL 5, 2024

King’s College London researchers have highlighted the importance of developing a theoretical understanding of why transformer architectures, such as those used in models like ChatGPT, have succeeded in natural language processing tasks. Also, don’t forget to follow us on Twitter.

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Pickl AI

OCTOBER 25, 2023

In this blog, our focus will revolve around Big Data and Artificial Intelligence. The Power of Artificial Intelligence Artificial Intelligence, on the other hand, represents the capability of machines to mimic human intelligence. Both these technologies are significantly transforming our world.

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Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. All credit for this research goes to the researchers of this project.

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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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Unite.AI

SEPTEMBER 21, 2023

The crossover between artificial intelligence (AI) and blockchain is a growing trend across various industries, such as finance, healthcare, cybersecurity, and supply chain. What is Artificial Intelligence (AI)? Artificial intelligence enables computer programs to mimic human intelligence.

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Artificial Corner

AUGUST 3, 2023

Artificial Intelligence is powering many technologies and a lot of companies are using it for their benefit. After the launch of ChatGPT in late 2022, many companies have started to implement their own AI and ML technologies in their platforms. The way they used Artificial Intelligence and Machine Learning is commendable.

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Heartbeat

MARCH 14, 2024

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionary technologies with the potential to transform the field of engineering. The synergy between engineering and AI/ML creates unprecedented opportunities for efficiency, cost reduction, and innovation. Indium Software Why AI and ML in Engineering?

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