IBM Journey to AI blog

APRIL 26, 2024

As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Let’s examine these solutions from the perspective of a hybrid AI model.

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Hybrid AI Large Language Models LLM AI Modeling 246

IBM Journey to AI blog

FEBRUARY 5, 2024

There is even more help on the horizon with the power of generative artificial intelligence (AI) foundation models, combined with traditional AI, to exert greater control over complex asset environments. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

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Generative AI Hybrid AI Large Language Models AI 285

Unite.AI

FEBRUARY 10, 2025

What distinguishes Skymels hybrid (local + cloud) approach from other AI infrastructure solutions on the market? The AI landscape is at a fascinating inflection point. While Apple, Samsung, and Qualcomm are demonstrating the power of hybrid AI through their ecosystem features, these remain walled gardens.

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Neural Network Hybrid AI AI Modeling Large Language Models 232

Flipboard

DECEMBER 6, 2024

In todays column, I explore a clever AI safeguarding approach that can be used to detect when a said-to-be AI hallucination occurs, along with guiding generative AI and large language models (LLMs) to abide by business policies or similar logic-based stipulations. This is a proverbial

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Flipboard

APRIL 23, 2023

The explosion of new generative AI products and capabilities over the last several months — from ChatGPT to Bard and the many variations from others based on large language models (LLMs) — has driven an overheated hype cycle. In turn, this situation has led to a similarly expansive and passionate …

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Hybrid AI Large Language Models LLM ChatGPT 159

NVIDIA

OCTOBER 15, 2024

Moving to accelerate enterprise AI innovation, NVIDIA founder and CEO Jensen Huang joined Lenovo CEO Yuanqing Yang on stage Tuesday during the keynote at Lenovo Tech World 2024. It enables organizations to create agentic AI and physical AI that transform data into actionable business outcomes more efficiently. “Our

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Hybrid AI Large Language Models AI AI 135

O'Reilly Media

NOVEMBER 19, 2024

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data.

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