Analytics Vidhya

MARCH 10, 2024

Introduction Do you ever feel like you are drowning in a sea of PDFs and photos? Yeah, us too. Between work reports, research papers, and that overflowing vacation folder, it’s easy to get lost in the information overload. But what if you could have a conversation with your documents and images? PopAI makes that a […] The post Talk to Your Documents and Images: A Guide to PopAI’s Features appeared first on Analytics Vidhya.

Conversational AI 295

Conversational AI AI Tools Artificial Intelligence Artificial Intelligence 295

Unite.AI

MARCH 10, 2024

In an era increasingly defined by automation and efficiency, robotics has become a cornerstone of warehouse operations across various sectors, ranging from e-commerce to automotive production. The vision of hundreds of robots swiftly navigating colossal warehouse floors, fetching and transporting items for packing and shipping, is no longer just a futuristic fantasy but a present-day reality.

Robotics 173

Robotics Neural Network Deep Learning AI 173

Marktechpost

MARCH 10, 2024

Despite the significant strides in large language models (LLMs) such as ChatGPT, Llama2, Vicuna, and Gemini, they grapple with safety issues. This paper introduces a novel safety-aware decoding technique, SafeDecoding, which aims to protect LLMs from jailbreak attacks, a pressing concern evidenced by LLMs generating damaging, erroneous, or biased content.

AI Strategy 135

AI Strategy Large Language Models AI AI 135

Machine Learning Research at Apple

MARCH 10, 2024

*=Equal Contributors Personal devices have adopted diverse authentication methods, including biometric recognition and passcodes. In contrast, headphones have limited input mechanisms, depending solely on the authentication of connected devices. We present Moonwalk, a novel method for passive user recognition utilizing the built-in headphone accelerometer.

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Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Marktechpost

MARCH 10, 2024

The quest to enhance learning experiences is unending in the fast-evolving landscape of educational technology, with mathematics standing out as a particularly challenging domain. Previous teaching methods, while foundational, often need to catch up in catering to students’ diverse needs, especially when it comes to the complex skill of solving mathematical word problems.

AI Researcher 132

AI Researcher AI Research Artificial Intelligence Artificial Intelligence 132

Marktechpost

MARCH 10, 2024

Artificial intelligence has shifted towards making large language models (LLMs) more interactive and versatile. This new wave of innovation seeks to break down the barriers between humans and machines, crafting systems that not only understand complex instructions but execute them precisely, mirroring the nuanced ways humans interact with the digital world.

Machine Learning 131

Machine Learning LLM Large Language Models AI 131

Robot Writers AI

MARCH 10, 2024

In a stunning moment of candor, ChatGPT CEO Sam Altman has stated that AI will usurp 95% of the marketing work currently performed by agencies, strategists and creatives. Altman’s prediction can be found in a new book — offered by subscription — “Our AI Journey,” by Adam Brotman and Andy Sack. Observes Mike Kaput, chief content officer, Marketing AI Institute, in reaction to Altman’s reported prediction: “To say it blew us away is an understatement.̶

ChatGPT 52

ChatGPT Robotics Chatbots Automation 52

Marktechpost

MARCH 10, 2024

In the domain of biotechnology, the intersection of machine learning and genomics has sparked a revolutionary paradigm, particularly in the modeling of DNA sequences. This interdisciplinary approach addresses the intricate challenges posed by genomic data, which include understanding long-range interactions within the genome, the bidirectional influence of genomic regions, and the unique property of DNA known as reverse complementarity (RC).

NLP 131

NLP Machine Learning AI AI 131

Machine Learning Research at Apple

MARCH 10, 2024

As the repository of publicly available pre-trained vision foundation models (VFMs) — such as CLIP, DINOv2, and SAM — grows, users face challenges in storage, memory, and computational efficiency when deploying multiple models concurrently. To address these concerns, we introduce a unique approach that merges the capabilities of multiple VFMs into a single efficient multi-task model.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Generative AI

Marktechpost

MARCH 10, 2024

In the ever-evolving field of computational linguistics, the quest for models that can seamlessly generate human-like text has led researchers to explore innovative techniques beyond traditional frameworks. One of the most promising avenues in recent times has been the exploration of diffusion models, previously lauded for their success in visual and auditory domains and their potential in natural language generation (NLG).

Computational Linguistics 122

Computational Linguistics Artificial Intelligence Artificial Intelligence ML 122

Machine Learning Research at Apple

MARCH 10, 2024

Hand gesture recognition is becoming a more prevalent mode of human-computer interaction, especially as cameras proliferate across everyday devices. Despite continued progress in this field, gesture customization is often underexplored. Customization is crucial since it enables users to define and demonstrate gestures that are more natural, memorable, and accessible.

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Marktechpost

MARCH 10, 2024

Recent advancements in Large Language Models (LLMs) have led to models containing billions or even trillions of parameters, achieving remarkable performance across domains. However, their massive size poses challenges in practical deployment due to stringent hardware requirements. Research has focused on scaling models to enhance performance, guided by established scaling laws.

Large Language Models 114

Large Language Models Artificial Intelligence Artificial Intelligence LLM 114

Marktechpost

MARCH 10, 2024

Developing and refining Large Language Models (LLMs) has become a focal point of cutting-edge research in the rapidly evolving field of artificial intelligence, particularly in natural language processing. These sophisticated models, designed to comprehend, generate, and interpret human language, rely on the breadth and depth of their training datasets.

Large Language Models 111

Large Language Models Natural Language Processing LLM Categorization 111

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Marktechpost

MARCH 10, 2024

Despite the impressive capabilities of LLMs like GPT-4 and Llama-2, they require fine-tuning with tailored data for specific business needs, exposing them to safety threats such as the Fine-tuning based Jailbreak Attack (FJAttack). Incorporating even a few harmful examples during fine-tuning can severely compromise model safety. While integrating safety examples into fine-tuning datasets is a common defense, it could be more efficient and requires many examples to be effective.

Large Language Models 101

Large Language Models LLM ML AI 101

Marktechpost

MARCH 10, 2024

Training large language models (LLMs) has posed a significant challenge due to their memory-intensive nature. The conventional approach of reducing memory consumption by compressing model weights often leads to performance degradation. However, a novel method, Gradient Low-Rank Projection (GaLore), by researchers from the California Institute of Technology, Meta AI, University of Texas at Austin, and Carnegie Mellon University, offers a fresh perspective.

LLM 133

LLM Machine Learning Large Language Models Natural Language Processing 133

Marktechpost

MARCH 10, 2024

Developing efficient and powerful large language models (LLMs) represents a frontier of innovation. These models have relied on the Transformer architecture, celebrated for its ability to understand and generate human-like text. However, as these models scale, they encounter significant hurdles, chiefly their operations’ computational and memory intensity.

Machine Learning 132

Machine Learning Convolutional Neural Networks Large Language Models Neural Network 132