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Listen "What's Blocking AI from True Intelligence?"
Episode Synopsis
Join Nadina, your Chief Strategy Architect, as she explores the fascinating world of Large Language Models. Discover how these AI powerhouses learn, reason, and what challenges they face in understanding human commonsense. Perfect for tech enthusiasts, business leaders, and anyone curious about the future of artificial intelligence.
In-Context Learning: LLMs can learn new tasks from examples provided directly in the text prompt, without any retraining or reprogramming.
LLM Architecture: The underlying structure and components of an LLM significantly impact its ability to learn in context.
Commonsense Reasoning: Current LLMs often struggle with true commonsense reasoning, relying more on memorization and general knowledge.
Future of LLMs: Developing more sophisticated datasets and evaluation metrics is crucial for creating LLMs that truly understand the world.
Source
CAN CUSTOM MODELS LEARN IN-CONTEXT? AN EXPLORATION
OF HYBRID ARCHITECTURE PERFORMANCE ON IN-CONTEXT
LEARNING TASKS
What Really is Commonsense Knowledge?
In-Context Learning: LLMs can learn new tasks from examples provided directly in the text prompt, without any retraining or reprogramming.
LLM Architecture: The underlying structure and components of an LLM significantly impact its ability to learn in context.
Commonsense Reasoning: Current LLMs often struggle with true commonsense reasoning, relying more on memorization and general knowledge.
Future of LLMs: Developing more sophisticated datasets and evaluation metrics is crucial for creating LLMs that truly understand the world.
Source
CAN CUSTOM MODELS LEARN IN-CONTEXT? AN EXPLORATION
OF HYBRID ARCHITECTURE PERFORMANCE ON IN-CONTEXT
LEARNING TASKS
What Really is Commonsense Knowledge?
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