Tue.Nov 26, 2024

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Multi-Meta-RAG: Enhancing Retrieval-Augmented Generation for Complex Multi-Hop Queries

Acuvate

Introduction Retrieval-Augmented Generation (RAG) has emerged as a critical technique for empowering Large Language Models (LLMs) with real-time knowledge retrieval capabilities. However, traditional RAG models struggle with multi-hop queries , which require retrieving and reasoning over multiple interconnected pieces of evidence. These limitations often lead to incomplete or inaccurate answers, especially when the data spans diverse sources.

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13 Wicked Extreme Creativity Questions

BrainZooming

Extreme creativity questions often emerge when designing a client workshop that needs everyone to expand their perspectives and enter previously unimagined realms of innovative thinking.

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Beware Of Zombie Ideas: Old Ideas That Haunt Decision Making

Bill Fischer

Many ideas live beyond the useful age, and yet still remain influential.

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3 Essential Vitamins Tell the Story of U.S. Dependence on China

Harvard Business Review

When it comes to protectionist trade policies, the United States and other Western countries had better look hard before they leap. An unpublished study found that the United States is heavily dependent on China for the supplies of three essential vitamins: folic acid, or B9; niacinamide, or B3; and biotin, or B7. While there are potential solutions that could reduce this reliance, they could not be implemented quickly and they would be expensive.

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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

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Multi-Meta-RAG: Enhancing Retrieval-Augmented Generation for Complex Multi-Hop Queries

Acuvate

Introduction Retrieval-Augmented Generation (RAG) has emerged as a critical technique for empowering Large Language Models (LLMs) with real-time knowledge retrieval capabilities. However, traditional RAG models struggle with multi-hop queries , which require retrieving and reasoning over multiple interconnected pieces of evidence. These limitations often lead to incomplete or inaccurate answers, especially when the data spans diverse sources.

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Do You Really Need a Big Career Change?

Harvard Business Review

Or is it something else?

Change 27

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Research: How “Buy Now, Pay Later” Is Changing Consumer Spending

Harvard Business Review

A study of 275,000 customers found that the option to pay in installments increased revenue — but was used most by financially constrained shoppers.

Change 25
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Why Reason Matters

Innovation Excellence

GUEST POST from Robyn Bolton How many times a day do you ask someone to do something? If you total all the requests you make of coworkers, family members, friends, people at restaurants and shops, and even strangers, the total is somewhere between 100 and 1 bazillion.

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Tried-and-True Networking Tips from Decades of Experience

Harvard Business Review

A conversation with venture capitalist Heidi Roizen on making networking relational, not transactional.

Tips 24
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How to Create the Ultimate Employee Development Plan

CMOE

The success of your organization depends on the development of your human capital, the key asset that drives productivity and impacts ROI. However, traditional approaches to workforce training are often fragmented and lack the strategic focus required to drive sustainable organizational improvement. To address this challenge, organizations should implement effective employee development plans to foster a culture of learning, continuous improvement and personal excellence.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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How Entertainment Lawyer John Branca Negotiated for the Beatles Songs Catalog

Harvard Business Review

Harvard Business School professor James K. Sebenius discusses how to deal with tough negotiators effectively and ethically.

How To 21