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LLM plays Pokémon

An AI bot played Pokémon FireRed autonomously using RetroArch, memory management, and GPT-4 for decision-making, showcasing potential for AI-driven gameplay despite challenges in input control and battle handling.

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Annotating Data at Scale in Real Time

Real-time data annotation at petabyte scale challenges enterprises. A new architecture uses large language models (LLMs), feedback loops, and active learning to enhance efficiency and quality. LLMs automate initial annotations,...

Variants of LoRA

Low-rank adaptation (LoRA) techniques allow for efficient training of specialized large language models on custom data. Several LoRA variants exist, each offering unique benefits. QLoRA uses 4-bit quantization to reduce memory...

How AI Learns Words but Not Meaning

Large language models (LLMs) like GPT-4 raise questions about semantic competence and language understanding. While LLMs demonstrate impressive linguistic abilities, debate continues over whether they truly grasp meaning, achieve...