Marktechpost

DECEMBER 8, 2024

The field of natural language processing (NLP) has grown rapidly in recent years, creating a pressing need for better datasets to train large language models (LLMs). Multilingual models, in particular, require datasets that are not only large but also diverse and carefully curated to capture the nuances of many different languages. Existing resources like CC-100, mC4, CulturaX, and HPLT provide useful starting points but come with notable drawbacks.

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Pragnakalp

DECEMBER 8, 2024

Large Language Models (LLMs) have revolutionized how we interact with artificial intelligence, offering impressive capabilities in understanding and generating human-like text. However, despite their strengths, a critical limitation remains: LLMs often generate factually incorrect information, especially when it comes to numerical or statistical data.

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Marktechpost

DECEMBER 8, 2024

AI advancements have led to the incorporation of a large variety of datasets for multimodal models, allowing for a more comprehensive understanding of complex information and a substantial increase in accuracy. Leveraging their advantages, multimodal models find applications in healthcare, autonomous vehicles, speech recognition, etc. However, the large data requirement of these models has led to inefficiencies in computational costs, memory usage, and energy consumption.

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Robot Writers AI

DECEMBER 8, 2024

If you’re looking to experiment with AI agents without making a commitment, Microsoft is offering a 30-day free trial. Heralded as the Next Big Thing in AI, AI agents — some of which will be called ‘AI employees’ as they grow increasingly more complex next year — can be programmed to perform a series of tasks for you, sans supervision.

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Speaker: Jason Chester, Director, Product Management

In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.

AI

Marktechpost

DECEMBER 8, 2024

Generative models have emerged as great tools for synthesizing complex data and enabling sophisticated industry predictions. In recent years, their application has expanded beyond NLP and media generation to fields like finance, where the challenges of intricate data streams and real-time analysis demand innovative solutions. Generative foundation models thrive on three primary elements: A large volume of high-quality training data Effective tokenization of information Auto-regressive training m

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Marktechpost

DECEMBER 8, 2024

Large language models (LLMs) have profoundly influenced natural language processing (NLP), excelling in tasks like text generation and language understanding. However, the Arabic languagewith its intricate morphology, varied dialects, and cultural richnessremains underrepresented. Many advanced LLMs are designed with English as their primary focus, leaving Arabic-centric models either overly large and computationally demanding or inadequate in addressing cultural subtleties.

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Flipboard

DECEMBER 8, 2024

Google CEO Sundar Pichai says AI development may feel slower in 2025 and tech companies will "need deeper breakthroughs" than today's chatbots to get ahead.

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Marktechpost

DECEMBER 8, 2024

In the rapidly evolving landscape of machine learning and artificial intelligence, understanding the fundamental representations within transformer models has emerged as a critical research challenge. Researchers are grappling with competing interpretations of what transformers representwhether they function as statistical mimics, world models, or something more complex.

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Flipboard

DECEMBER 8, 2024

Anderson Cooper headed back to school with Sal Khan, the founder of Khan Academy, and creator of the AI tutor Khanmigo. The tool is helping students and teachers alike, and evaluating Cooper's middle school essay.

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Speaker: Matt Sunshine, CEO at The Center for Sales Strategy

AI isn’t replacing salespeople—it’s empowering them. The most forward-thinking sales organizations are using AI to enhance human performance rather than eliminate it. From coaching and messaging to prospecting and pipeline accountability, artificial intelligence is giving managers and SDRs the new tools they need to work smarter, sell better, and close more.

AI

Marktechpost

DECEMBER 8, 2024

Code intelligence has grown rapidly, driven by advancements in large language models (LLMs). These models are increasingly utilized for automated programming tasks such as code generation, debugging, and testing. With capabilities spanning multiple languages and domains, LLMs have become crucial tools in advancing software development, data science, and computational problem-solving.

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Flipboard

DECEMBER 8, 2024

The way Palantirs CEO sees it, the AI race is about no less than the future of liberal democracy. Alex Karp, the chief executive of Palantir, knows his products can be dangerous.

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Marktechpost

DECEMBER 8, 2024

The field of Artificial Intelligence (AI) is advancing at a rapid rate; specifically, the Large Language Models have become indispensable in modern AI applications. These LLMs have inbuilt safety mechanisms that prevent them from generating unethical and harmful outputs. However, these mechanisms are vulnerable to simple adaptive jailbreaking attacks.

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Flipboard

DECEMBER 8, 2024

At this time last year, we published a list of 10 predictions about what would happen in the world of artificial intelligence in 2024. To keep ourselves honest, with 2024 now coming to a close, lets revisit these predictions to see how things actually played out.

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Robots are a cornerstone of a smart factory, automating a wide range of manufacturing tasks that are monotonous, physically straining, or even hazardous. However, real-world robotics deployments have not lived up to the revolutionary potential the industrial sector had originally envisioned. Robot implementations are typically confined to specific applications, carry high costs, and are time-consuming.

Robotics

Marktechpost

DECEMBER 8, 2024

In large language models (LLMs), hallucination refers to instances where models generate semantically or syntactically plausible outputs but are factually incorrect or nonsensical. For example, a hallucination occurs when a model provides erroneous information, such as stating that Addison’s disease causes bright yellow skin when, in fact, it causes fatigue and low blood pressure.

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Flipboard

DECEMBER 8, 2024

World Labs, an embodied intelligence startup co-founded by AI scientist and Stanford Professor Fei-Fei Li, has introduced a 3D worlds generator that redefines how AI processes and utilizes spatial information.

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Artificial Lawyer

DECEMBER 8, 2024

This years Artificial Lawyer predictions are different: fewer people, longer insights. Part One’s predictions include: Sacha Kirk of Lawcadia, Ed Walters of vLex, and Richard.

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Flipboard

DECEMBER 8, 2024

Heres a multiple-choice question: Which of the following have educators said is a problem with current state standardized tests? a.

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Speaker: Beth Sunshine, SVP, Up Your Culture

When culture isn’t consistently lived out across the organization, engagement suffers—and it often starts with a disconnect at the top. In this session, Beth Sunshine, SVP of Up Your Culture at The Center for Sales Strategy, will reveal how HR and executive leaders can close the gap between vision and execution by equipping frontline and mid-level managers to become culture carriers.

Marktechpost

DECEMBER 8, 2024

As AI systems become integral to daily life, ensuring the safety and reliability of LLMs in decision-making roles is crucial. While LLMs have shown impressive performance across various tasks, their ability to operate safely and cooperate effectively in multi-agent environments still needs to be explored. Cooperation is critical in scenarios where agents work together to achieve mutual benefits, reflecting challenges humans face in collaborative settings.

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Flipboard

DECEMBER 8, 2024

This personal reflection is part of a series called Turning Points, in which writers explore what critical moments from this year might mean for the year ahead. You can read more by visiting the Turning Points series page.

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Machine Learning 152

Marktechpost

DECEMBER 8, 2024

Board games have long been pivotal in shaping AI, serving as structured environments for testing decision-making and strategy. Games like chess and Connect Four, with their distinct rules and varying levels of complexity, have enabled AI systems to learn dynamic problem-solving. The structured nature of these games challenges AI to anticipate moves, consider opponents strategies, and execute plans effectively.

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Flipboard

DECEMBER 8, 2024

Attending AWS re:Invent 2024 was like watching a forest grow and decay at 10,000-times time-lapse speed. With each major breakthrough release falling, Amazon Web Services Inc.

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85% of teams are using AI, but only 27% report clear productivity gains. Why? Because most are still stuck in surface-level adoption. In this expert panel, top voices in workplace strategy and remote innovation—Dr. Gleb Tsipursky, Phil Kirschner, Nadia Harris, and Eryn Peters—reveal how leading teams are cutting digital noise, training AI to fit their workflows, and building cultures that embrace change.

AI

Marktechpost

DECEMBER 8, 2024

Business intelligence (BI) faces significant challenges in efficiently transforming large data volumes into actionable insights. Current workflows involve multiple complex stages, including data preparation, analysis, and visualization, which require extensive collaboration among data engineers, scientists, and analysts using diverse specialized tools.

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Flipboard

DECEMBER 8, 2024

This article explores the critical role of data governance in ensuring the accuracy, compliance, and integrity of data throughout AI model development and deployment.

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Marktechpost

DECEMBER 8, 2024

Reward modeling is critical in aligning LLMs with human preferences, particularly within the reinforcement learning from human feedback (RLHF) framework. Traditional reward models (RMs) assign scalar scores to evaluate how well LLM outputs align with human judgments, guiding optimization during training to improve response quality. However, these models often need more interpretability, are prone to robustness issues like reward hacking, and fail to leverage LLMs’ language modeling capabil

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Flipboard

DECEMBER 8, 2024

The United States is home to a staggering number of abandoned oil and gas wells, remnants of nearly two centuries of hydrocarbon extraction.

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The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.

Robotics

Marktechpost

DECEMBER 8, 2024

Autoregressive models are used to generate sequences of discrete tokens. The next token is conditioned by the preceding tokens in a given sequence in the approach. Recent research showed that generating sequences of continuous embeddings autoregressively is also feasible. However, such Continuous Autoregressive Models (CAMs) generate these embeddings similarly sequentially, but they face challenges such as a decline in generation quality over extended sequences.

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Flipboard

DECEMBER 8, 2024

Stuart Briers for Education Week AI has the potential to help usher in a new, deeper breed of state standardized tests, but there are plenty of

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Marktechpost

DECEMBER 8, 2024

Web-crawled image-text datasets are critical for training vision-language models, enabling advancements in tasks such as image captioning and visual question answering. However, these datasets often suffer from noise and low quality, with inconsistent associations between images and text that limit the capabilities of the models. This limitation prevents achieving strong and accurate results, particularly in cross-modal retrieval tasks.

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