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Choose the Right Large Language Model (LLM) for Your Product

The Product Coalition

Let’s talk confidently about how to select the perfect LLM companion for your project. The AI landscape is buzzing with Large Language Models (LLMs) like GPT-4, Llama2, and Gemini, each promising linguistic prowess. They excel at crafting captivating content, translating languages, and summarizing information.

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510: How to use these AI tools to create a product brief – with Brian Collard

Product Innovation Educators

Brian has been working for 15 years in different industries like finance, healthcare, and technology. We’re talking about how artificial intelligence (AI) is changing the way we manage products and come up with new ideas. He has proven success across multiple industries including finance, healthcare, and technology.

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How AI is influencing product management jobs

Product Management Unpacked

According to a Brookings Institution report , “Automation and Artificial Intelligence: How machines are affecting people and places,” roughly 25 percent of U.S. Instead, Magnin suggests that product managers use machine learning predictions as options they can provide to their users to choose from.

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Conversational UI for Bank: Say Bye to Your Boring App

The Product Coalition

They engage in free-flowing conversations, fueled by a Large Language Model that serves as a bridge between users and backend systems, ensuring a seamless user experience. When the backend responds back, the LLM translates the information in to a meaningful sentence to respond back to the user.

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How To Train a Transactional Chatbot Using Reinforcement Learning?

The Product Coalition

One powerful approach to training such chatbots is reinforcement learning  — a subfield of machine learning. In this article we talk about transactional chatbots, shedding light on their functionalities, the pivotal role of reinforcement learning in their training, and their application in various sectors.

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Effective customer engagement is business critical – insights from Harvard Business Review Analytic Services

Intercom, Inc.

With all of these pain points and lost opportunities, it’s no surprise that nearly half (48%) of respondents say they are investing in new or improved customer engagement technologies – such as customer relationship management (CRM), artificial intelligence and machine learning, and data analytics in the next 18 months.

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Ready to Unleash AI Superpowers and Build Products That Help Users?

The Product Coalition

Allow me to make the case that to do this effectively, you need to fully grasp the “superpowers” of large language models (LLMs). Folks are starting to realize that large language models, or LLMs, need smart design and deployment to really hit their stride.