Unite.AI

JUNE 21, 2024

Unlike narrow AI, which excels in specific areas like language translation or image recognition, AGI would possess a broad, adaptable intelligence, enabling it to generalize knowledge and skills across diverse domains. The feasibility of achieving AGI is an intensely debated topic among AI researchers.

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Unite.AI

JULY 24, 2024

In the consumer technology sector, AI began to gain prominence with features like voice recognition and automated tasks. Over the past decade, advancements in machine learning, Natural Language Processing (NLP), and neural networks have transformed the field.

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Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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Marktechpost

JANUARY 2, 2024

Transformer-based LLMs have significantly advanced machine learning capabilities, showcasing remarkable proficiency in domains like natural language processing, computer vision, and reinforcement learning. These models, known for their substantial size and computational demands, have been at the forefront of AI development.

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Marktechpost

DECEMBER 6, 2023

Training artificial intelligence (AI) models often requires massive amounts of labeled data. It can be highly expensive and time-consuming, especially for complex tasks like image recognition or natural language processing. In Conclusion, DAL is a game-changer for AI development.

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Unite.AI

OCTOBER 22, 2024

We use Big O notation to describe this growth, and quadratic complexity O(n²) is a common challenge in many AI tasks. AI models like neural networks , used in applications like Natural Language Processing (NLP) and computer vision , are notorious for their high computational demands.

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Unite.AI

OCTOBER 10, 2024

OpenAI’s Financial Strain and Competitive Pressure Developing and maintaining advanced AI systems is financially challenging, and OpenAI is no exception. The company has significantly expanded its GPT models, like GPT-3 and GPT-4, setting new standards in natural language processing.

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Marktechpost

SEPTEMBER 23, 2024

OpenAI’s Commitment to Responsible AI Development The MMMLU dataset also reflects OpenAI’s broader commitment to transparency, accessibility, and fairness in AI research. By releasing the dataset on Hugging Face, OpenAI ensures it is available to the wider research community. Check out the Dataset.

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Marktechpost

OCTOBER 6, 2024

Large Language Models (LLMs) generate code aided by Natural Language Processing. There is a growing application of code generation in complex tasks such as software development and testing. This mechanism also reduced the number of samples generated. If you like our work, you will love our newsletter.

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Large Language Models Natural Language Processing Software Engineer Algorithm 115

Topbots

DECEMBER 19, 2023

Generated with Midjourney The NeurIPS 2023 conference showcased a range of significant advancements in AI, with a particular focus on large language models (LLMs), reflecting current trends in AI research. These awards highlight the latest achievements and novel approaches in AI research. Enjoy this article?

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Marktechpost

SEPTEMBER 3, 2024

Key Features and Capabilities of miniG One of the most remarkable aspects of miniG is its ability to perform complex language tasks with impressive accuracy. It excels in natural language processing (NLP) tasks such as text generation, sentiment analysis, translation, and summarization.

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Unite.AI

AUGUST 12, 2024

1 With a successful Series Seed funding round of $31 million led by Andreessen Horowitz and support from notable angel investors, Black Forest Labs has positioned itself at the forefront of generative AI research. Black Forest Labs Open-Source FLUX.1 Conclusion: Is Flux Better Than Midjourney?

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Marktechpost

MAY 29, 2024

With significant advancements through its Gemini, PaLM, and Bard models, Google has been at the forefront of AI development. Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology.

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AI Modeling Large Language Models Conversational AI Natural Language Processing 115

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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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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Marktechpost

OCTOBER 4, 2024

Natural language processing (NLP) has seen rapid advancements, with large language models (LLMs) leading the charge in transforming how text is generated and interpreted. FaithEval addresses this issue by targeting three unique scenarios: unanswerable contexts, inconsistent contexts, and counterfactual contexts.

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Towards AI

FEBRUARY 14, 2023

Cohere, a startup that specializes in natural language processing, has developed a reputation for creating sophisticated applications that can generate natural language with great accuracy. OpenAI, on the other hand, is an AI research laboratory that was founded in 2015.

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Marktechpost

DECEMBER 19, 2024

The rise of large language models (LLMs) has transformed natural language processing, but training these models comes with significant challenges. By offering a lightweight and accessible solution, Hugging Face has made it easier for researchers and developers to implement efficient training processes.

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Marktechpost

DECEMBER 4, 2024

These licenses promote transparency, accountability, and collaboration in AI development, aligning technological advancements with societal well-being. These enhancements empower researchers to synthesize information efficiently, streamlining the research process.

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Allen AI

FEBRUARY 1, 2024

This work was made possible, in part, via a collaboration with the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University and partners including AMD , CSC ( Lumi Supercomputer ), the Paul G. Allen School of Computer Science & Engineering at the University of Washington and Databricks.

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LLM Large Language Models AI Researcher AI Research 76

Towards AI

FEBRUARY 15, 2023

The spokesperson added that what sets ERNIE apart from other language models is its exceptional understanding and generation capabilities, thanks to its ability to integrate extensive knowledge with massive data. This article delves into the details of these emerging approaches and their potential impact on AI development.

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Large Language Models Prompt Engineer Prompt Engineering AI Chatbots 98

Marktechpost

DECEMBER 4, 2023

Durable makes it easy for developers to set up a website for their work in a matter of seconds. Leap AI Developers can access Leap AI’s AI APIs. The intuitive design of Leap AI’s APIs makes it possible for programmers without AI expertise to use them effectively.

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Google Research AI blog

MARCH 16, 2023

The Impact Lab team, part of Google’s Responsible AI Team , employs a range of interdisciplinary methodologies to ensure critical and rich analysis of the potential implications of technology development. We examine systemic social issues and generate useful artifacts for responsible AI development.

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Marktechpost

NOVEMBER 7, 2024

It is purpose-built for the Vietnamese language, delivering high performance while maintaining manageable computational demands. What sets Arcee-VyLinh apart is its ability to outperform models of similar size and even some larger competitors in various natural language processing tasks.

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Marktechpost

MAY 3, 2024

Durable makes it easy for developers to set up a website for their work in a matter of seconds. Leap AI Developers can access Leap AI’s AI APIs. The intuitive design of Leap AI’s APIs makes it possible for programmers without AI expertise to use them effectively.

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Marktechpost

OCTOBER 5, 2024

The AI research organization Zyphra has recently unveiled two groundbreaking language models, Zamba2-1.2B-Instruct These models are part of the Zamba2 series and are significant advancements in natural language processing and AI-based instruction. Instruct and Zamba2-2.7B-Instruct. Let’s collaborate!

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Marktechpost

SEPTEMBER 5, 2024

These limitations have driven the development of more targeted research and resources to enhance the detection and mitigation of malicious language using LLMs. A new AI research from Amazon introduces a novel approach to address these gaps and advance LLM capabilities in fraud and abuse detection.

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Large Language Models Natural Language Processing LLM AI Researcher 59

NYU Center for Data Science

DECEMBER 12, 2023

To bridge this gap, Lewis is harnessing her expertise in natural language processing (NLP), acquired at CDS, and applying it to large language models (LLMs), including multimodal LLMs. Previous studies, mostly rooted in psychology, have explored what constitutes an inclusive environment and its characteristics.

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Becoming Human

MARCH 16, 2023

This includes building in-house AI teams, hiring AI healthcare professionals and data analysts , backing startups with an AI focus, and teaming up with technology firms or research centers. Data When it comes to AI, it always comes down to input data. A combination of factors is driving this trend.

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Pickl AI

OCTOBER 3, 2024

How AIMaaS Works AIMaaS operates on a cloud-based architecture, allowing users to access AI models via APIs or web interfaces. Natural Language Processing (NLP) : Tools for text classification, sentiment analysis, and language translation.

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Topbots

DECEMBER 19, 2023

Presenters from various spheres of AI research shared their latest achievements, offering a window into cutting-edge AI developments. Sign up for more AI research updates. Email Address * Name * First Last Company * What areas of AI research are you interested in? Enjoy this article?

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Marktechpost

JULY 17, 2023

Best predictive analytics tools and platforms H2O Driverless AI H2O, a relative newcomer to predictive analytics, became well-known thanks to a well-liked open source solution. A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy.

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ODSC - Open Data Science

APRIL 6, 2023

Here, we look at how you can analyze a global AI research community using Gephi and ChatGPT. Over 1,000 Technology Leaders and Researchers Call for Pause in AI Development A massive group of technology leaders and researchers are calling to pause AI development citing “profound risks to society and humanity.”

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Bugra Akyildiz

MAY 19, 2024

National Strategies and Geopolitical Implications Compute has become an essential element in many countries' national strategies for AI research and development. This strategic positioning reflects the recognition that computational power is a critical component of national competitiveness in the AI landscape.

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Pickl AI

OCTOBER 1, 2024

Google DeepMind Google DeepMind is another tech giant that is making waves in the world of Generative AI. Founded in 2010, DeepMind was acquired by Google in 2014 and has since become one of the most respected AI research companies in the world.

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Pickl AI

JULY 18, 2023

Model Selection and Optimization Identifying appropriate machine learning models and techniques, fine-tuning parameters, and optimizing the performance of AI systems. Develop Programming Skills Master programming languages such as Python, R, or Java, which are widely used in AI development.

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Viso.ai

DECEMBER 20, 2023

At its core, the MindSpore open-source project is a solution that combines ease of development with advanced capabilities. It accelerates AI research and prototype development. The integrated approach promotes collaboration, innovation, and responsible AI practices with deep learning algorithms.

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