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Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
The TAO of data: How Databricks is optimizing AI LLM fine-tuning without data labels
Exploring LoRA – Part 1: The Idea Behind Parameter Efficient Fine-Tuning
Weighted Interleave Auto-Tuning Being Worked On For Linux
PaliGemma 2: Powerful Vision-Language Models, Simple Fine-Tuning
CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels
LoRA vs. Full Fine-Tuning: An Illusion of Equivalence
SVT-AV1 2.3 Brings More Performance Improvements: AVX-512 & LTO By Default, More Tuning
MM1.5: Methods, Analysis and Insights from Multimodal LLM Fine-Tuning
More AMD Zen 5 Tuning/Optimizations Merged For The GCC 15 Compiler
OpenAI brings fine-tuning to GPT-4o with 1M free tokens per day through Sept. 23
Fine-tuning now available for GPT-4o
Microsoft unveils serverless fine-tuning for its Phi-3 small language model
AI arms race escalates: OpenAI offers free GPT-4o Mini fine-tuning to counter Meta’s Llama 3.1 release
CURLoRA: Stable LLM Fine-Tuning and Catastrophic Forgetting Mitigation
First impressions of early-access GPT-4 fine-tuning
Exclusive: Stability AI brings advanced 3D and image fine-tuning to Stable Diffusion
MonsterAPI leads the charge in democratizing AI with no-code fine-tuning
