Remove Explainability Remove Hybrid AI Remove Natural Language Processing
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Unbundling the Graph in GraphRAG

O'Reilly Media

tend to dislike using an AI application as a “black box” solution, which magically handles work that may need human oversight. Imagine going in front of a judge to seek a warrant and explaining, “Your honor, a LLM collected the evidence, plus or minus a few hallucinations.” Do LLMs Really Adapt to Domains?

LLM 125
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What is Artificial General Intelligence (AGI) and Why It’s Not Here Yet: A Reality Check for AI Enthusiasts

Unite.AI

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

Categories of AI Three main categories of AI are: Artificial Narrow Intelligence (ANI) Artificial General Intelligence (AGI) Artificial Super Intelligence (ASI) ANI is considered “weak” AI, whereas the other two types are classified as “strong” AI. Your AI must be explainable, fair and transparent.