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Fine-tuning has become much more accessible in 2024–2025, with parameter-efficient methods letting even 70B+ parameter models run on consumer GPUs.
arXiv:2510.15020v2 Announce Type: replace-cross Abstract: Language models demonstrate remarkable abilities when pre-trained on large text corpora and fine-tuned for specific...
arXiv:2510.19181v1 Announce Type: new Abstract: This paper presents a question answering system that operates exclusively on a knowledge graph retrieval...
arXiv:2505.24379v3 Announce Type: replace-cross Abstract: Large Language Models are typically trained on datasets collected from the web, which may inadvertently...
arXiv:2510.19172v1 Announce Type: new Abstract: LLMs often fail to handle temporal knowledge conflicts–contradictions arising when facts evolve over time within...

Anthrogen has introduced Odyssey, a family of protein language models for sequence and structure generation, protein editing, and conditional design....
arXiv:2510.18257v1 Announce Type: new Abstract: Prompt Optimization has emerged as a crucial approach due to its capabilities in steering Large...
arXiv:2510.18455v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) systems are increasingly vital in dynamic domains like online gaming, yet...
arXiv:2505.21657v5 Announce Type: replace Abstract: Large Language Models (LLMs) such as GPT, LLaMA, and Claude achieve remarkable performance in text...



