Harvard Business Review
JUNE 12, 2023
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.
Leapfrogging
FEBRUARY 28, 2024
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. Iterative Learning : AI learns from each interaction, continually refining the design process.
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Harvard Business Review
JANUARY 23, 2024
Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing?
Digital Tonto
JANUARY 15, 2023
That’s why the rise of artificial intelligence is driving a shift from cognitive to social skills. That requires more deep collaboration, teamwork and emotional intelligence. To derive meaning in an artificially intelligent world we need to look to each other and how we can better understand our intentions.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Daniel Burrus
OCTOBER 16, 2019
While several companies are on course to use artificial intelligence (AI), machine learning (ML), and deep learning (DL), others hardly understand the fundamental differences between these powerful technologies. Machine Learning ? Deep Learning. What Exactly Is AI ?
IdeaScale
AUGUST 16, 2017
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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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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. This often ends up involving meticulous adjustments to prompts.
Speaker: Paul Weald, Contact Center Innovator
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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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Artificial Intelligence has become a massive force that's to be reckoned with, as it's quickly transforming the landscape across multiple industries. So, instead of resisting it, you can embrace change and learn how AI can bring numerous benefits that could end up being your competitive advantage.
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.
Speaker: Jay Black, Senior Account Executive
We’ve all heard the buzzwords to describe new supply chain trends: resiliency, sustainability, AI, machine learning. But what do these really mean today? Over the past few years, manufacturing has had to adapt to and overcome a wide variety of supply chain trends and disruptions to stay as stable as possible. Save your seat today!
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