Remove Conversational AI Remove Explainability Remove Explainable AI
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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

Thats why explainability is such a key issue. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI. Imagine an AI predicting home prices.

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Generative AI vs. predictive AI: What’s the difference?

IBM Journey to AI blog

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. But generative AI is not predictive AI. Conversely, predictive AI estimates are more explainable because they’re grounded on numbers and statistics.

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The Evolving Landscape of Generative AI: A Survey of Mixture of Experts, Multimodality, and the Quest for AGI

Unite.AI

Meanwhile, Google's new Gemini model demonstrates substantially improved conversational ability over predecessors like LaMDA through advances like spike-and-slab attention. Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning.

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Transforming customer service: How generative AI is changing the game

IBM Journey to AI blog

Transforming the contact center with AI With a suite of AI solutions powered by IBM Consulting™ , your enterprise can harness the power of generative AI for customer care. is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI. Watsonx.ai

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Top 10 Free Machine Learning And Artificial Intelligence Courses In 2023

Dlabs.ai

The instructors are very good at explaining complex topics in an easy-to-understand way. Machine Learning Author: Andrew Ng Everyone interested in machine learning has heard of Andrew Ng : one of the most respected people in the AI world.

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Igor Jablokov, Pryon: Building a responsible AI future

AI News

The current incarnation of Pryon has aimed to confront AI’s ethical quandaries through responsible design focused on critical infrastructure and high-stakes use cases. “[We We wanted to] create something purposely hardened for more critical infrastructure, essential workers, and more serious pursuits,” Jablokov explained.

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10 AI dangers and risks and how to manage them

IBM Journey to AI blog

Data privacy issues Large language models (LLMs) are the underlying AI models for many generative AI applications, such as virtual assistants and conversational AI chatbots. Take action: Adopt explainable AI techniques. As their name implies, these language models require an immense volume of training data.