Unite.AI

MARCH 24, 2024

In a significant leap forward for artificial intelligence (AI), a team from the University of Geneva (UNIGE) has successfully developed a model that emulates a uniquely human trait: performing tasks based on verbal or written instructions and subsequently communicating them to others. This accomplishment addresses a long-standing challenge in AI, marking a milestone in the field’s evolution.

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Analytics Vidhya

MARCH 24, 2024

Introduction The ability to transform a single image into a detailed 3D model has long been a pursuit in the field of computer vision and generative AI. Stability AI’s TripoSR marks a significant leap forward in this quest, offering a revolutionary approach to 3D reconstruction from images. It empowers researchers, developers, and creatives with unparalleled […] The post Stability AI’s TripoSR: From Image to 3D Model in Seconds appeared first on Analytics Vidhya.

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Marktechpost

MARCH 24, 2024

Large language models have revolutionized natural language processing, providing machines with human-like language abilities. However, despite their prowess, these models grapple with a crucial issue- the Reversal Curse. This term encapsulates their struggle to comprehend logical reversibility, where they often need to deduce that if ‘A has a feature B,’ it logically implies ‘B is a feature of A.’ This limitation poses a significant challenge in the pursuit of truly intel

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Analytics Vidhya

MARCH 24, 2024

Introduction The Artificial intelligence world is moving very fast, and AI engineers are at the forefront of this revolution. Companies of all stripes are embracing AI to gain a strategic advantage, creating a surge in demand for these skilled professionals. However, becoming an AI engineer isn’t just about having a technical mind; it requires a […] The post 8 Must Have Skills to Become an AI Engineer in 2024 appeared first on Analytics Vidhya.

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Speaker: Jesse Hunter and Brynn Chadwick

Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.

AI

Marktechpost

MARCH 24, 2024

Researchers are considering the fusion of large language models (LLMs) with AI agents as a significant leap forward in AI. These enhanced agents can now process information, interact with their environment, and execute multi-step actions, heralding a new era of task-solving capabilities. However, complexities are involved in developing and evaluating new reasoning strategies and agent architectures for LLM agents due to the intricacy of existing frameworks.

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Marktechpost

MARCH 24, 2024

Virtual assistant technology aims to create seamless and intuitive human-device interactions. However, the need for a specific trigger phrase or button press to initiate a command interrupts the fluidity of natural dialogue. Recognizing this challenge, Apple researchers have embarked on a groundbreaking study to enhance the intuitiveness of these interactions.

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Towards AI

MARCH 24, 2024

Last Updated on March 25, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, generative adversarial networks (GANs), image segmentation, video analysis, and more.

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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. However, these models, primarily built on Transformer networks, suffer from quadratic computation complexity, hindering efficiency. Contrastingly, Language-Only Models (LLMs) are limited in adaptability due to their sole reliance on language interactions.

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Towards AI

MARCH 24, 2024

Last Updated on March 25, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Third Week of March 2024.

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Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

LLM

Marktechpost

MARCH 24, 2024

In the evolving landscape of computational models for visual data processing, searching for models that balance efficiency with the ability to handle large-scale, high-resolution datasets is relentless. Though capable of generating impressive visual content, the conventional models grapple with scalability and computational efficiency, especially when deployed for high-resolution image and video generation.

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TheSequence

MARCH 24, 2024

Created Using DALL-E Next Week in The Sequence: Edge 381: We start a new series about autonomous agents! We introdice the main concepts in agents and review the AGENTS framework from ETH Zurich. Additionally, we provide an overview of BabyAGI. Edge 382: We review PromptBreeder, Google Deemind’s self-improving prompt technique. You can subscribe below: heSequence is a reader-supported publication.

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Marktechpost

MARCH 24, 2024

A recent development of a model merging into the community of large language models (LLMs) presents a paradigm shift. Strategically combining multiple LLMs into a single architecture, this development approach has captivated the attention of researchers mainly due to the advantage that it requires no additional training, which cuts the cost of building new models significantly.

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Bugra Akyildiz

MARCH 24, 2024

Articles X.ai released the Grok’s first model and its weights in a very short blog post. Model is Jax based and it is available in GitHub , it uses mixture of experts model and it has a Transformer based architecture. Eagle 7B model is available as open source and this is an excellent and very efficient model that builds on top of RWKV, but what is RWKV?

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Marktechpost

MARCH 24, 2024

The artificial intelligence sector is seeing a surge in new entrants. Artificial intelligence’s application is revolutionizing technology in fields like NLP (Natural Language Processing) and ML (Machine Learning). The learning curve for artificial intelligence is steep, too, for those who aren’t enthusiastic about diving in. Traditional tools, like Jupyter Notebooks, can be difficult and intimidating to people new to data research.

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Robot Writers AI

MARCH 24, 2024

Expert users of multiple AI auto-writers, imagers and video-makers may want to check-out a new service that offers access to all those tools from a single, centralized dashboard. Dubbed BlendAI, the new platform — which offers one-stop access to popular AI tools like ChatGPT, Mistral and Stable Diffusion — also enables you to do side-by-side comparisons and ‘shoot-outs’ of those tools.

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Marktechpost

MARCH 24, 2024

AI constantly evolves and needs efficient methods to integrate new knowledge into existing models. Rapid information generation means models can quickly become outdated, which has given birth to model editing. In this complex arena, the goal is to imbue AI models with the latest information without undermining their foundational structure or overall performance.

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Marktechpost

MARCH 24, 2024

Large Language Models (LLMs) have been at the forefront of advancements in natural language processing, demonstrating remarkable abilities in understanding and generating human language. Despite these achievements, their capacity for complex reasoning, a critical aspect of various applications, remains a notable challenge. The research community, particularly a team from Renmin University of China and Université de Montréal, has sought to enhance this aspect, with Chain-of-Thought (CoT) promptin

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Large Language Models Natural Language Processing Automation ML 117

Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader

Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.

Automation

Marktechpost

MARCH 24, 2024

In machine learning and artificial intelligence, training large language models (LLMs) like those used for understanding and generating human-like text is time-consuming and resource-intensive. The speed at which these models learn from data and improve their abilities directly impacts how quickly new and more advanced AI applications can be developed and deployed.

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Marktechpost

MARCH 24, 2024

Generating realistic human facial images has long challenged computer vision and machine learning researchers. Early techniques like Eigenfaces used Principal Component Analysis (PCA) to learn statistical priors from data but severely lacked the ability to capture the real-world complexities of lighting, expressions, and viewpoints beyond frontal poses.

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Marktechpost

MARCH 24, 2024

Researchers address the challenge of integrating machine learning frameworks with diverse hardware architectures efficiently. The existing integration process has been complex and time-consuming, and there is often a lack of standardized interfaces that leads to compatibility issues and hinders the adoption of new hardware technologies. Developers were required to write specific code for each hardware device.

Machine Learning 101

Machine Learning Artificial Intelligence Artificial Intelligence AI 101

Marktechpost

MARCH 24, 2024

In recent research, a team of researchers has introduced Jan , an open-source ChatGPT alternative that runs locally on the computer. The introduction of Jan is a major advancement in the field of Artificial Intelligence (AI) that is geared towards democratizing access to AI technologies. Jan enables having the power of ChatGPT locally on the desktop, with all preferred models, configurations, and functionalities.

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Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

AI