Tag: LLM

AI models may struggle with sustained attention and cognitive control

artificial intelligence
A new study finds that leading AI models struggle to maintain focus and suppress automatic responses as cognitive demands increase.

Free AI: A sustainable model or a trap?

artificial intelligence
Examining whether AI companies' free services create dependency lock-in, competency divides, and lead to inevitable paid-only futures.

AI can now replicate itself

artificial intelligence
Scientists demonstrate AI self-replication capabilities, raising concerns about autonomous systems going rogue without human oversight or control.

LLM and RAG

artificial intelligence
Revolutionizing AI interaction, Retrieval Augmented Generation enhances language models by dynamically integrating external knowledge sources.

LLMs and the emergence of extended cognition

artificial intelligence
How LLMs transform human cognition through dynamic interaction, creating new thought patterns and challenging traditional tool-human relationships.

The future of inference in Large Language Models

artificial intelligence
Exploring how LLMs mimic human inference, the potential for AI with hippocampal-like functions, and the implications for future human-AI interactions.

From 4O to O1

artificial intelligence
OpenAI's o1 model showcases advanced AI reasoning, raising excitement and concerns for its capabilities, safety issues, and implications for AI development and regulation.

LLMs cannot learn on their own

artificial intelligence
A new study challenges fears about AI's uncontrollable nature, showing Large Language Models lack emergent abilities and remain predictable.

GPT-4 Omni can explore the world and interact more naturally

artificial intelligence
GPT-4o revolutionizes AI with multimodal abilities across text, audio, and visuals, delivering human-like interactions at unmatched speeds.

How LLMs retrieve some stored knowledge

artificial intelligence
Large language models use linear functions to retrieve factual knowledge, providing insights into their inner workings.

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