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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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Generative AI, ChatGPT and Large Language Models: A 101

Acuvate

Today, Language Models (LLM) are not only making enterprise decisions and operations efficient and straightforward, but they are also composing prose, poetry, and even generating images! ChatGPT stands out as a powerhouse in the realm of Generative AI. What are Large Language Models (LLM)?

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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. Iterative Learning : AI learns from each interaction, continually refining the design process.

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How Innovation Can Benefit From Artificial Intelligence?

HYPE Innovation

The launch of ChatGPT, Midjourney, and DALL-E has put artificial intelligence (AI) firmly in the spotlight. Yet AI is nothing new, and these applications are just the tip of the iceberg. AI has been present in our daily lives for many years, with social media algorithms, chatbots, and the Waze application just a few examples.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

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.

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What Will Humans Do In An Artificially Intelligent World?

Digital Tonto

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.

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Having an argument with Artificial Intelligence

Idea to Value

You may have seen news of people talking about the new artificial intelligence chatbot from OpenAI, called ChatGPT. Put simply, this is a way you can ask questions to OpenAI’s huge artificial intelligence in a natural, chat-like manner.

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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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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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The New Tech Experience: Innovation, Optimization, and Collaboration

Speaker: Paul Weald, Contact Center Innovator

Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! How you can leverage innovations in technology and machine learning to improve your customer experience and bottom line.

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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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The Recruiting Crossword Puzzle

On top of ever-increasing advancements on the technology front (hello, artificial intelligence), try adding record-low unemployment and candidates’ virtual omnipresence and you’ve got yourself a pretty passive, well-informed, and crowded recruiting landscape.

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A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.