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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AI News

MAY 15, 2024

The UAE is making big waves by launching a new open-source generative AI model. This step, taken by a government-backed research institute, is turning heads and marking the UAE as a formidable player in the global AI race. As a major oil exporter and a key player in the Middle East, the UAE is investing heavily in AI.

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Marktechpost

MAY 7, 2024

Large language models (LLMs) like GPT-3 can be a potential solution because these powerful AI models can understand and generate human-like text, so in theory, they could engage in back-and-forth conversations to intuitively elicit someone’s preferences. Check out the Paper.

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Analytics Vidhya

MAY 9, 2024

Introduction AI has shaken up the world with GenAI, self-learning robots, and whatnot! But with the boon, bane comes complementary…the AI strides, its power vast and its potential great, yet within its circuits lie shadows of concern.

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Unite.AI

DECEMBER 4, 2023

In the ever-evolving domain of Artificial Intelligence (AI), where models like GPT-3 have been dominant for a long time, a silent but groundbreaking shift is taking place. Small Language Models (SLM) are emerging and challenging the prevailing narrative of their larger counterparts.

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Marktechpost

MAY 14, 2024

In the quickly developing fields of Artificial Intelligence and Data Science, the volume and accessibility of training data are critical factors in determining the capabilities and potential of Large Language Models (LLMs). The post Large Language Model (LLM) Training Data Is Running Out.

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Marktechpost

MAY 16, 2024

The evaluation of artificial intelligence models, particularly large language models (LLMs), is a rapidly evolving research field. Researchers are focused on developing more rigorous benchmarks to assess the capabilities of these models across a wide range of complex tasks.

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Marktechpost

FEBRUARY 15, 2024

AI aims for accurate and efficient learning. Traditional approaches have largely centered on models learning from correct examples. However, a groundbreaking study shifts this paradigm by suggesting that models can significantly benefit from an in-depth analysis of their mistakes.

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Analytics Vidhya

APRIL 16, 2023

Generative AI models, particularly large language models like GPT-3, have become a major concern due to their significant environmental impact. The report also speaks of […] The post Environmental Cost of AI Models: Carbon Emissions and Water Consumption appeared first on Analytics Vidhya.

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Marktechpost

NOVEMBER 23, 2023

During Data Science Conference 2023 in Belgrade on Thursday, 23 November, it was announced that Real AI won the ISCRA project. Real AI is chosen to build Europe’s first-ever Human-Centered LLM on the world’s 4th largest AI Computer Cluster ‘LEONARDO’. – Tarry Singh , CEO of Real AI B.V. About REAL AI B.V.

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NVIDIA

MARCH 13, 2024

Editor’s note: This post is part of our AI Decoded series , which aims to demystify AI by making the technology more accessible, while showcasing new hardware, software, tools and accelerations for RTX PC and workstation users. If AI is having its iPhone moment, then chatbots are one of its first popular apps.

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Marktechpost

FEBRUARY 13, 2024

A groundbreaking study unveils an approach to peering into the minds of Large Language Models (LLMs), particularly focusing on GPT-4’s understanding of color. The challenge of interpreting AI models lies in their complexity and the opaque nature of their internal workings.

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Unite.AI

APRIL 12, 2024

In recent years, large language models (LLMs) and AI chatbots have become incredibly prevalent, changing the way we interact with technology. However, as these models become more advanced, concerns regarding their safety and potential for generating harmful content have come to the forefront.

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Marktechpost

AUGUST 12, 2023

The ability of large language models (LLMs) to generate coherent, contextually relevant, and semantically meaningful text has become increasingly complex. Thus, techniques that continually assess and improve generations would be helpful toward more trustworthy language models.

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Marktechpost

JANUARY 3, 2024

A team of researchers from the University of Georgia and Mayo Clinic explored how well powerful computer algorithms, known as Large Language Models (LLMs), understand and solve biology-related questions. Their research found that OpenAI’s GPT-4 performed better than similar AI models regarding reasoning about biology.

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Marktechpost

MAY 1, 2024

The researchers aim to resolve the need to optimize model execution on devices with limited resources while maintaining performance and efficiency. The existing methods for running large AI models require computers with large computational power, which has limited their application on edge devices due to the lack of resources.

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Analytics Vidhya

JUNE 26, 2023

These state-of-the-art models, powered by NVIDIA’s latest-generation H100 accelerators, represent a significant leap in quality compared to the original GPT-3. Also Read: What are Large Language Models (LLMs)?

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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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NVIDIA

MAY 14, 2024

Large language models that power generative AI are seeing intense innovation — models that handle multiple types of data such as text, image and sounds are becoming increasingly common. However, building and deploying these models remains challenging.

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Marktechpost

SEPTEMBER 9, 2023

The emerging field of multi-modal artificial intelligence (AI) converges visual, auditory, and textual data, offering exciting potential in various domains, from personalized entertainment to improved accessibility features. Multimedia content creation involves producing digital media in various forms, such as text, images, and audio.

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Towards AI

FEBRUARY 22, 2024

Author(s): Meng Li Originally published on Towards AI. Meng Li creates with DALL·E 3 I have delved deeply into numerous large language models, but with each new model release, there always comes a slew of tedious benchmark tests. Google recently released the Gemma open-source AI model.

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Towards AI

FEBRUARY 10, 2024

Author(s): LucianoSphere (Luciano Abriata, PhD) Originally published on Towards AI. While I’ve touched on multiple applications of AI models specialized for various tasks in bioinformatics, engineering, etc., Join thousands of data leaders on the AI newsletter. Published via Towards AI

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Marktechpost

MARCH 5, 2024

In an intriguing exploration spearheaded by researchers at Google DeepMind and University College London, the capabilities of Large Language Models (LLMs) to engage in latent multi-hop reasoning have been put under the microscope. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Marktechpost

DECEMBER 15, 2023

Concerns have arisen regarding the potential for some sophisticated AI systems to engage in strategic deception. Researchers at Apollo Research, an organization dedicated to assessing the safety of AI systems, recently delved into this issue.

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Marktechpost

MARCH 24, 2024

Recent advancements in multimodal large language models (MLLM) have revolutionized various fields, leveraging the transformative capabilities of large-scale language models like ChatGPT. Check out the Paper and Project. All credit for this research goes to the researchers of this project.

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Marktechpost

JANUARY 12, 2024

In artificial intelligence (AI), developers often face the challenge of efficiently working with many models. This complexity hinders the development of large-scale AI applications, making the process more convenient and efficient.

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Analytics Vidhya

MAY 1, 2024

Google’s latest breakthrough in natural language processing (NLP), called Gecko, has been gaining a lot of interest since its launch. Unlike traditional text embedding models, Gecko takes a whole new approach by distilling knowledge from large language models (LLMs).

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Analytics Vidhya

JANUARY 9, 2024

The landscape of cybersecurity is evolving, and at the forefront of this transformation is WhiteRabbitNeo-33B, an open-source Large Language Model (LLM) specifically designed for offensive and defensive cybersecurity.

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Analytics Vidhya

APRIL 14, 2024

French startup, Mistral AI, has launched its latest large language model (LLM), Mixtral 8x22B, into the artificial intelligence (AI) landscape. Similar to its previous models, this too aligns with Mistral’s commitment to open-source development.

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AWS Machine Learning Blog

FEBRUARY 26, 2024

Large Language Models (LLMs) have revolutionized the field of natural language processing (NLP), improving tasks such as language translation, text summarization, and sentiment analysis. However, I am an AI assistant created by Anthropic to be helpful, harmless, and honest.” “I

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Marktechpost

FEBRUARY 29, 2024

Multimodal Large Language Models (MLLMs), having contributed to remarkable progress in AI, face challenges in accurately processing and responding to misleading information, leading to incorrect or hallucinated responses. These challenges highlight a significant gap in current AI capabilities.

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Marktechpost

MAY 3, 2024

Artificial intelligence (AI) in medicine is revolutionizing how clinicians handle complex tasks such as diagnosing patients, planning treatments, and staying current with the latest research. Advanced AI models promise to enhance healthcare by increasing accuracy and efficiency.

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Analytics Vidhya

MARCH 4, 2024

Introduction In a significant development, the Indian government has mandated tech companies to obtain prior approval before deploying AI models in the country.

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Marktechpost

AUGUST 17, 2023

It has been demonstrated that the usability and overall performance of large language models (LLMs) can be enhanced by fine-tuning various language tasks provided via instructions (instruction tuning). Models trained with visual, auditory, and multilingual data have all fared well with the instruction tuning paradigm.

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Towards AI

MAY 23, 2023

Last Updated on May 25, 2023 by Editorial Team Author(s): Cezary Gesikowski Originally published on Towards AI. These AI models, it turns out, are not just number crunchers; they’re avid readers too. Join thousands of data leaders on the AI newsletter. Join thousands of data leaders on the AI newsletter.

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Marktechpost

SEPTEMBER 1, 2023

The paper explains why any technique for addressing undesirable LLM behaviors that do not completely eradicate them renders the model vulnerable to adversarial quick attacks. They also note that there will be a significant drop in accuracy from the baseline model if we want to increase model security.

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Marktechpost

FEBRUARY 23, 2024

Developing large language models (LLMs) represents a cutting-edge frontier. These models, trained to parse, generate, and interpret human language, are increasingly becoming the backbone of various digital tools and platforms, enhancing everything from simple automated writing assistants to complex conversational agents.

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