Sat.Mar 16, 2024

article thumbnail

How to Use Claude in Google Sheets

Analytics Vidhya

Introduction Spreadsheets are essential tools for data analysis, but complex formulas can hold you back. That’s where Claude for Sheets, a revolutionary AI add-on from Anthropic, comes in. Ask questions directly in your spreadsheet and get insightful answers using natural language. Claude simplifies complex tasks and opens spreadsheets to a wider range of users, transforming […] The post How to Use Claude in Google Sheets appeared first on Analytics Vidhya.

article thumbnail

How Perceptions of Robot Autonomy Shape Responsibility

Unite.AI

In an era where technology strides ahead with leaps and bounds, the integration of advanced robots into various sectors of our lives is no longer a matter of ‘if', but ‘when'. These robots are emerging as pivotal players in fields ranging from autonomous driving to intricate medical procedures. With this surge in robotic capabilities comes an intricate challenge: determining the assignment of responsibility for the actions performed by these autonomous entities.

Robotics 305
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Researchers at Stanford University Introduce ‘pyvene’: An Open-Source Python Library that Supports Intervention-Based Research on Machine Learning Models

Marktechpost

Understanding and manipulating neural models is essential in the evolving field of AI. This necessity stems from various applications, from refining models for enhanced robustness to unraveling their decision-making processes for greater interpretability. Amidst this backdrop, the Stanford University research team has introduced “pyvene,” a groundbreaking open-source Python library that facilitates intricate interventions on PyTorch models. pyvene is ingeniously designed to overcome

article thumbnail

Representation Engineering for Control Vector

Bugra Akyildiz

Articles Vgel wrote a blog post on the representation engineering, focusing on the control vector in LLMs. If you are interested and want to learn about AI safety and how to customize an already trained LLM, this post goes over couple of different ways of doing so. Control vector is a vector (technically a list of vectors, one per layer) that you can apply to model activations during inference to control the model's behavior without additional prompting.

article thumbnail

How To Get Promoted In Product Management

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.

article thumbnail

Apple Announces MM1: A Family of Multimodal LLMs Up To 30B Parameters that are SoTA in Pre-Training Metrics and Perform Competitively after Fine-Tuning

Marktechpost

Recent research has focused on crafting advanced Multimodal Large Language Models (MLLMs) that seamlessly integrate visual and textual data complexities. By delving into the minutiae of architectural design, data selection, and methodological transparency, research has pushed the boundaries of what MLLMs can achieve and support future explorations. Their work is particularly notable for its comprehensive approach to dissecting the various components that contribute to the success of these models

More Trending

article thumbnail

Google DeepMind Introduces SIMA: The First Generalist Artificial Intelligence AI Agent to Follow Natural-Language Instructions in a Broad Range of 3D Virtual Environments and Video Games

Marktechpost

The pursuit of artificial intelligence that can navigate and comprehend the intricacies of three-dimensional environments with the ease and adaptability of humans has long been a frontier in technology. At the heart of this exploration is the ambition to create AI agents that not only perceive their surroundings but also follow complex instructions articulated in the language of their human creators.

article thumbnail

10 Groundbreaking Applications of ChatGPT in Healthcare

Marktechpost

Artificial Intelligence (AI) is a beacon of innovation in the rapidly evolving healthcare landscape, offering promising solutions to longstanding challenges. At the forefront of this technological revolution is ChatGPT, an advanced AI developed by OpenAI. Known for its deep learning capabilities, ChatGPT is redefining healthcare practices and making services more accessible, efficient, and personalized.

ChatGPT 113
article thumbnail

COULER: An AI System Designed for Unified Machine Learning Workflow Optimization in the Cloud

Marktechpost

Machine learning (ML) workflows, essential for powering data-driven innovations, have grown in complexity and scale, challenging previous optimization methods. These workflows, integral to various organizations, demand extensive resources and time, escalating operational costs as they expand to accommodate diverse data infrastructures. Orchestrating these workflows involved navigating through an array of distinct workflow engines, each with its unique Application Programming Interface (API), com

article thumbnail

Navigating the Waters of Artificial Intelligence Safety: Legal and Technical Safeguards for Independent AI Research

Marktechpost

In the swiftly evolving landscape of generative AI, the need for independent evaluation and red teaming cannot be overstated. Such evaluations are pivotal for uncovering potential risks and ensuring these systems align with public safety and ethical standards. Yet, the current approach by leading AI companies, employing restrictive terms of service and enforcement strategies, significantly hampers this necessary research.

article thumbnail

Navigating the Future: Generative AI, Application Analytics, and Data

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?

article thumbnail

Anthropic Releases Claude 3 Haiku: The Fastest and Most Cost-Effective Artificial Intelligence (AI) Model in Its Intelligence Class

Marktechpost

In recent research, Anthropic has released Claude 3 Haiku , the fastest and most affordable model in its intelligence class. With its state-of-the-art visual capabilities and outstanding performance compared to industry benchmarks, Haiku is an amazing addition to Artificial Intelligence (AI) advancements and is a flexible solution that can be used for a wide range of enterprise applications.

article thumbnail

Synth2: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings by Researchers from Google DeepMind

Marktechpost

VLMs are potent tools for grasping visual and textual data, promising advancements in tasks like image captioning and visual question answering. Limited data availability hampers their performance. Recent strides show that pre-training VLMs on larger image-text datasets improves downstream tasks. Yet, creating such datasets faces challenges: scarcity of paired data, high curation costs, low diversity, and noisy internet-sourced data.

article thumbnail

Meet VidProM: Pioneering the Future of Text-to-Video Diffusion with a Groundbreaking Dataset

Marktechpost

Text-to-video diffusion models are transforming how individuals create and interact with media. These sophisticated algorithms can craft compelling, high-definition videos from simple text descriptions, bringing to life scenes that range from the serenely picturesque to the wildly imaginative. The potential for such technology is vast, spanning entertainment, education, and beyond.