An LLM, or large language model, is a general-purpose AI text generator. It's what's behind the scenes of all AI chatbots, AI writing generators, and most other AI-powered features like summarized search answers. LLMs are supercharged auto-complete. Stripped of fancy interfaces and other ...
Feedback loop between the Generator and Verifier. The input text is converted to structured-like language via the generator and is then passed through the verifier. The verifier returns a list of errors (marked with a yellow 1). The feedback is passed back to the generator along with the ...
After pre-training, the generator is dropped, and the discriminator is fine-tuned on specific NLP tasks. ELECTRA achieves optimal results on benchmarks like GLUE and SQuAD while using less compute compared to other models like RoBERTa and XLNet. It is released as an open-source model on ...
Transfer Visual Prompt Generator across LLMs arXiv 2023-05-02 Github Demo GPT-4 Technical Report arXiv 2023-03-15 - - PaLM-E: An Embodied Multimodal Language Model arXiv 2023-03-06 - Demo Prismer: A Vision-Language Model with An Ensemble of Experts arXiv 2023-03-04 Github Demo Lan...
Transfer Visual Prompt Generator across LLMs arXiv 2023-05-02 Github Demo GPT-4 Technical Report arXiv 2023-03-15 - - PaLM-E: An Embodied Multimodal Language Model arXiv 2023-03-06 - Demo Prismer: A Vision-Language Model with An Ensemble of Experts arXiv 2023-03-04 Github Demo Lan...
The data generator column represent the model used to create the training dataset for training other LLMs. In this context, “Human” indicates that the LLM was trained on human-labeled data, but it does not reflect human performance in these tasks. The model Mistral-45B-DPO performed best,...
This process was controlled using a fixed seed (seed = 0) for the random number generator, which ensures reproducibility of the noise for consistent comparison of results. Figure 1 and Figure 2 illustrate the resulting synthetic spectra with this superimposed noise, which visually manifests as ...
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CelebV-Text: A Large-Scale Facial Text-Video Dataset Jianhui Yu1∗ Hao Zhu2∗ Liming Jiang3 Chen Change Loy3 Weidong Cai1 Wayne Wu4 1University of Sydney 2SenseTime Research 3S-Lab, Nanyang Technological University 4Shanghai AI Laboratory jianhui.yu@sydney.edu.au haozhu96@...
A GAN is made up of two NNs i.e., a generator and a discriminator. The generator and discriminator are trained together. The generator generates artificial data which imitates the real data, while the discriminator separates the data generated by the generator from the real data. GANs have ...