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  2. LLM self-critique for task-oriented text generation

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/llm_self-critique_for_task-oriented_text_generation.pdf
    24 Nov 2023: LLM self-critique for task-oriented textgeneration. Vilde Schulerud Bøe. Supervisor: Dr. Miri Zilka. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and

  3. CONDITIONAL AND LATENT NEURAL PROCESSES Model Architecture William…

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_advanced_machine_learning_posters/conditional_and_latent_neural_processes.pdf
    14 Dec 2023: CONDITIONAL AND LATENT NEURAL PROCESSES. Model Architecture. William BakerAlexandra ShawTony Wu. Motivation 1D Regression. Image Completion on MNIST. The University of Cambridge, Advanced Machine Learning. Image Completion on CelebA. Number of

  4. Autoregressive Diffusion Neural Processes

    https://www.mlmi.eng.cam.ac.uk/files/2022_-_2023_dissertations/autoregressive_diffusion_neural_processes.pdf
    14 Nov 2023: Autoregressive DiffusionNeural Processes. Lorenzo Bonito. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster of Philosophy in Machine Learning and Machine Intelligence. St John’s College August

  5. Stochastic Memory for Sequence Models Making Good Compressors Use ...

    https://www.mlmi.eng.cam.ac.uk/files/2021-2022_dissertations/stochastic_memory_for_sequence_models.pdf
    2 Mar 2023: Stochastic Memory for Sequence Models. Making Good Compressors Use Less Memory. David Michael Goldfarb. Supervisor: Dr. Christian Steinruecken. Department of EngineeringUniversity of Cambridge. This dissertation is submitted for the degree ofMaster

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