Artificial intelligence
fromTheregister
4 months agoTeach GPT-4o to do one job badly and it can start being evil
Fine-tuning language models to underperform in one task can lead to negative consequences across various tasks.
#fine-tuning
#fine-tuning
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fromLogRocket Blog
2 weeks agoFine-tuning vs. RAG: Which AI strategy fits your frontend project? - LogRocket Blog
Fine-tuning provides consistent and fast responses, but requires lengthy retraining for updates, while RAG offers instant updates but involves handling latency and interface challenges.
Artificial intelligence
fromHackernoon
1 month agoComparing Chameleon AI to Leading Image-to-Text Models | HackerNoon
In evaluating Chameleon, we focus on tasks requiring text generation conditioned on images, particularly image captioning and visual question-answering, with results grouped by task specificity.
Artificial intelligence
fromHackernoon
8 months agoIncreased LLM Vulnerabilities from Fine-tuning and Quantization: Experiment Set-up & Results | HackerNoon
The testing on different downstream tasks, including fine-tuning and quantization, shows that while fine-tuning can improve task effectiveness, it can simultaneously increase jailbreaking vulnerabilities in LLMs.
Data science
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