Unite.AI

FEBRUARY 16, 2024

AGI, on the other hand, would have the ability to understand and reason across multiple domains, such as language, logic, creativity, common sense, and emotion. It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. AGI is not a new concept.

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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).

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AI Weekly

APRIL 11, 2024

No legacy process is safe. And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses.

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Marktechpost

JULY 13, 2023

Natural Language Processing, one of the primary subfields of Artificial Intelligence, is advancing at an extraordinary pace. With its ability to enable a computer to understand human language the way it is spoken and written, NLP has a number of use cases. OpenELM version 0.9 Check out the Paper, Blog , and Github Link.

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Pickl AI

APRIL 19, 2024

Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Specialise in domains like machine learning or natural language processing to deepen expertise. With dedication and perseverance, anyone can master AI and unlock its boundless potential.

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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.

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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.

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Marktechpost

OCTOBER 13, 2023

Autonomous agents capable of reasoning and decision-making are a significant focus in AI. LLMs have excelled in reasoning and adaptability tasks, including natural language processing and complex environments. All Credit For This Research Goes To the Researchers on This Project. We are also on WhatsApp.

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Large Language Models Natural Language Processing Algorithm AI Researcher 137

Marktechpost

DECEMBER 13, 2023

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. Token-level Iterative Compression Algorithm: An algorithm for token-level iterative compression has been integrated into LLMLingua.

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Large Language Models LLM Natural Language Processing Computer Vision 124

Marktechpost

OCTOBER 27, 2023

LLMs excel in natural language processing but face issues with safe deployment and alignment with human preferences. PPO algorithms, including PPO-SAT and All-PPO, are discussed for implementing constrained reinforcement learning. The study delves into implementing PPO algorithms such as PPO-SAT and All-PPO.

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AI Weekly

DECEMBER 14, 2023

businessinsider.com Research 10 GitHub Repositories to Master Machine Learning It covers a wide range of topics such as Quora, blogs, interviews, Kaggle competitions, cheat sheets, deep learning frameworks, natural language processing, computer vision, various machine learning algorithms, and ensembling techniques.

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Marktechpost

DECEMBER 16, 2023

A custom-trained natural language processing (NLP) algorithm, X-Raydar-NLP, labeled the chest X-rays using a taxonomy of 37 findings extracted from the reports. An NLP algorithm, X-Raydar-NLP, was trained on 23,230 manually annotated reports to extract labels. If you like our work, you will love our newsletter.

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ODSC - Open Data Science

MARCH 8, 2024

At its core, AI in healthcare leverages sophisticated algorithms to sift through and make sense of complex medical data. This technology is optimizing clinical decision-making and healthcare services through applications such as predictive analytics, image recognition, and natural language processing.

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Marktechpost

SEPTEMBER 28, 2023

Achieving AGI is a complex and challenging endeavor, as it requires solving numerous difficult problems in machine learning, natural language processing, robotics, and other AI-related fields. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper.

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AI Weekly

APRIL 20, 2023

nytimes.com OpenAI is not currently training GPT-5 Experts calling for a pause on AI development will be glad to hear that OpenAI isn’t currently training GPT-5. scitechdaily.com How AI is matching drugs to patients Dr Talia Cohen Solal sits down at a microscope to look closely at human brain cells grown in a petri dish.

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Marktechpost

JULY 16, 2023

The rapid advancements in language models have been primarily attributed to their massive scale, enabling mind-blowing capabilities in various natural language processing tasks. Empowering Smaller Models with I2D2 The primary challenge smaller language models face is their relatively lower generation quality.

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Marktechpost

AUGUST 27, 2023

These techniques are even new for AI to diagnose but still, AI has provided fantastic results for speech recognition. These techniques of speech and facial recognition fall under a broad category of Natural Language Processing. Various Deep Learning algorithms are still being worked on this wireless model.

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AI Weekly

JULY 13, 2023

theguardian.com Sarah Silverman sues OpenAI and Meta claiming AI training infringed copyright The US comedian and author Sarah Silverman is suing the ChatGPT developer OpenAI and Mark Zuckerberg’s Meta for copyright infringement over claims that their artificial intelligence models were trained on her work without permission.

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Marktechpost

JUNE 25, 2023

Modern machine learning relies heavily on optimization to provide effective answers to challenging issues in areas as varied as computer vision, natural language processing, and reinforcement learning. The algorithm slows down when the denominator in the step size grows too large. Check Out The Paper.

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Towards AI

FEBRUARY 14, 2023

Generative AI is a fascinating field that has gained a lot of attention in recent years. It involves using machine learning algorithms to generate new data based on existing data. In this article, we will explore what generative AI is, how it is being used today, and what the future holds for this exciting field.

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Marktechpost

JANUARY 18, 2024

GPU Clusters are one such method by which we can fuel these memory-intensive applications and facilitate parallel processing to enable the execution of complex algorithms. They help in rapidly processing large amounts of data and allow for more accurate predictions of severe weather events. What are GPU Clusters?

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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. Here are some of the tools to check AI content. Originality.AI Originality.

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Towards AI

MARCH 20, 2023

What is the history and evolution of generative AI? How do neural networks contribute to generative AI? What are the primary applications of generative AI? How does natural language processing (NLP) relate to generative AI? What is the role of unsupervised learning in generative AI?

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Topbots

OCTOBER 4, 2023

Generated with Bing and edited with Photoshop Predictive AI has been driving companies’ ROI for decades through advanced recommendation algorithms, risk assessment models, and fraud detection tools. However, the recent surge in generative AI has made it the new hot topic. a social media post or product description).

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Marktechpost

JULY 12, 2023

Algorithms trained to predict words from their surrounding context have been instrumental in achieving these advancements. However, despite access to vast amounts of training data, deep language models still need help to perform tasks like long story generation, summarization, coherent dialogue, and information retrieval.

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ODSC - Open Data Science

FEBRUARY 27, 2023

With that in mind, here are my top five AI predictions for 2023: 1. Improved natural language processing : Natural language processing (NLP) is the ability of a computer to understand, interpret, and generate human language.

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Heartbeat

AUGUST 23, 2023

But what if there was a technique to quickly and accurately solve this language puzzle? Enter Natural Language Processing (NLP) and its transformational power. But what if there was a way to unravel this language puzzle swiftly and accurately? Algorithms can automatically detect and extract key items.

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Flipboard

APRIL 8, 2023

Says Ray Perrault, co-director of the AI Index Steering Committee : “We do know that there was an overall drop in private investment in startups in 2022; we didn’t get to answer the question of whether AI startup investment shrunk more or less than the rest.” The AI Index Report indicated that nondefense U.S. A group of U.S.

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NYU Center for Data Science

DECEMBER 12, 2023

In an era where algorithms determine everything from creditworthiness to carceral sentencing, the imperative for responsible innovation has never been more urgent. The Center for Responsible AI (NYU R/AI) is leading this charge by embedding ethical considerations into the fabric of artificial intelligence research and development.

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Marktechpost

AUGUST 3, 2023

A research team from Stanford University has made groundbreaking progress in the field of Natural Language Processing (NLP) by investigating whether Reinforcement Learning (RL) agents can learn language skills indirectly, without explicit language supervision.

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Marktechpost

AUGUST 4, 2023

Large Language Models (LLMs) have recently made considerable strides in the Natural Language Processing (NLP) sector. Adding multi-modality to LLMs and transforming them into Multimodal Large Language Models (MLLMs), which can perform multimodal perception and interpretation, is a logical step.

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Marktechpost

JULY 20, 2023

In the past year, natural language processing has seen remarkable advancements with the emergence of language models equipped with significantly longer contexts. As applications such as long document querying and story writing continue to grow, the need for language models with extended context becomes evident.

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Marktechpost

SEPTEMBER 10, 2023

ZeroGPT is a free AI content detection tool that uses advanced algorithms, machine learning algorithms, and natural language processing approaches to recognize AI-generated material accurately. ZeroGPT Detector With AI, the free ZeroGPT Detector can determine if a computer created a piece of writing.

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Marktechpost

JULY 27, 2023

In recent years, there have been significant breakthroughs in the field of Deep Learning, particularly in the popular sub-fields of Artificial Intelligence, including Natural Language Processing (NLP), Natural Language Understanding (NLU) and Computer Vision (CV).

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Marktechpost

JUNE 30, 2023

Large Language Models have transformed Natural Language Processing by showcasing amazing skills like emergence and grokking and driving model size to increase continually. The bar for NLP research is raised by training these models with billions of parameters, such as those with 30B to 175B parameters.

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Large Language Models Natural Language Processing AI Tools AI 101

Marktechpost

JULY 4, 2023

Natural language processing (NLP) activities, including speech-to-text, sentiment analysis, text summarization, spell-checking, token categorization, etc., rely on Language Models as their foundation. Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model.

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Marktechpost

JULY 11, 2023

The ability of deep learning to handle high-dimensional, unstructured data and its remarkable performance in complex tasks have made it a cornerstone of modern AI applications, driving advancements in fields ranging from healthcare and finance to robotics and computer vision. The disconnect between theory and practice is growing.

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