FineTuned

How I Wonderful-Tuned Granite-Vision 2B to Beat a 90B Model — Insights and Lessons Learned

or vision-language models is a strong technique that unlocks their potential on specialized tasks. Nevertheless, despite their effectiveness, these approaches are sometimes out of reach for a lot of users as a result...

DeepSeek releases open source ‘R1’, a fine-tuned version of ‘V3’… “Same performance as o1, 90% cheaper cost”

DeepSeek, which has been evaluated because the world's best open source model with its 'V3' model, has now released the 'R1' series, an inference model that competes with OpenAI's 'o1' model, as open source. DeepSeek...

Extracting Training Data From Superb-Tuned Stable Diffusion Models

Recent research from the US presents a way to extract significant portions of coaching data from fine-tuned models.This might potentially provide legal evidence in cases where an artist's style has been copied, or where...

Meet Koala: Berkeley University’s LLaMA-Based Model Wonderful-Tuned with ChatGPT Dialogues Koala EasyLM

Considered one of the important thing contributions of the Koala research was the open-source release of EasyLM, the framework used for fine-tuning the model. Conceptually, EasyLM is an answer designed to pre-train, fine-tune, evaluate,...

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