Categories: AI/ML Research

5 Problems Encountered Fine-Tuning LLMs with Solutions

Fine-tuning remains a cornerstone technique for adapting general-purpose pre-trained large language models (LLMs) models (also called foundation models) to serve more specialized, high-value downstream tasks, even as zero- and few-shot methods gain traction.
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Fine-tuning SDXL with childhood pictures → audio-reactive geometries – [Experiment]

After a deeply introspective and emotional journey, I fine-tuned SDXL using old family album pictures…

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Beyond Accuracy: 5 Metrics That Actually Matter for AI Agents

AI agents , or autonomous systems powered by agentic AI, have reshaped the current landscape…

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Apple Workshop on Reasoning and Planning 2025

Reasoning and planning are the bedrock of intelligent AI systems, enabling them to plan, interact,…

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MediaFM: The Multimodal AI Foundation for Media Understanding at Netflix

Avneesh Saluja, Santiago Castro, Bowei Yan, Ashish RastogiIntroductionNetflix’s core mission is to connect millions of members…

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Scaling data annotation using vision-language models to power physical AI systems

Critical labor shortages are constraining growth across manufacturing, logistics, construction, and agriculture. The problem is…

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Start Your Surround Sound Journey With $50 off This Klipsch Soundbar

This soundbar is just the beginning, with the option to add wireless bookshelf speakers or…

8 hours ago