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How Large Language Models Reflect Human Judgment

Harvard Business Review

Artificial intelligence is based around prediction. But large language models represent a key advance: OpenAI has found a way to teach its AI human judgment by using a simple form of human feedback, through chat. But decision making requires both prediction and judgment.

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The Future of Design Thinking: Integrating Artificial Intelligence for Success

Leapfrogging

Embracing the Evolution: AI Meets Design Thinking The intersection of artificial intelligence and design thinking is poised to redefine the landscape of innovation and strategy. This process is widely adopted by managers, executives, and consultants to drive new product development, service innovation, and business model refinement.

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FinTech and Machine Learning

IdeaScale

When people talk about machine learning they are a referring to a type of artificial intelligence that has the ability to learn without explicit programming. And machine learning could be applied towards many of those already (for example: using data to optimize for consumer buying behavior).

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How Is Machine Learning Revolutionizing Supply Chain Management

Acuvate

How Is Machine Learning Revolutionizing Supply Chain Management Supply chain management is a complex medley of processes in which even a slight lack of visibility or synchronization can lead to enormous losses and overheads.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

The Intersection of AI and Innovation Management My journey into the realm of innovation management began as I witnessed many clients wrestling with the increasing complexity of developing new products and services. The Rise of AI in Innovation Management What is Artificial Intelligence?

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What We Mean When We Say “Machine Learning”

IdeaScale

So in this article we will address a new emerging theme: machine learning and try to answer the question “ who learns faster, a machine or an human?” People can get stuck in the process of learning. How does a machine learn? But are they actually learning? How does a human learn?

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Service Delivery: When Is the Right Time to Deploy Your AI?

Speaker: Dick Stark and Casey Steenport

The big buzz is around Artificial Intelligence, and how it can help IT service delivery teams crush their goals. Decision-makers have been experimenting with Artificial Intelligence in smaller groups and have started adopting AI into mainstream environments in their organizations.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. Register today to save your seat! December 6th, 2023 at 11:00am PST, 2:00pm EST, 7:pm GMT

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. These products, with their unique capabilities, bring fresh opportunities and challenges that demand a fresh approach to product management.