BRICS AI Economics

Tag: LLM fine-tuning

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Mar, 2 2026

Benchmark Transfer After Fine-Tuning: How LLMs Keep Their General Skills When Learning New Tasks

Emily Fies
9
Fine-tuning LLMs for specific tasks can erase their general knowledge. Learn how benchmark transfer ensures models stay smart across all tasks - not just the one you trained them for.
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Oct, 16 2025

Why Large Language Models Excel at Many Tasks: Transfer, Generalization, and Emergent Abilities

Emily Fies
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Large language models excel because they learn from massive text data, then adapt to new tasks with minimal examples. Transfer learning, generalization, and emergent abilities make them powerful without needing custom training for every job.

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    Latency Budgets for Interactive Large Language Model Applications

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    Hackathon Strategy: Winning Prototypes with Vibe Coding and LLM Agents

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    Rotary Position Embeddings and ALiBi: How Modern LLMs Handle Sequence Order

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    Cost Savings from Compression: How LLM Efficiency Drives Real Business Value

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    How Prompt Templates Reduce Waste in Large Language Model Usage

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