6/ Detecting Pretraining Data from LLMs – explores the problem of pretraining data detection which aims to determine if a black box model was trained on a given text.
AI
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Matryoshka Diffusion Models for High-Resolution Image Video Synthesis
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3/ Matryoshka Diffusion Models – introduces an end-to-end framework for high-resolution image and video synthesis; involves a diffusion process that denoises inputs at multiple resolutions jointly and uses a NestedUNet architecture…
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Spectron: End-to-End Spoken Language Model Surpasses Existing Systems
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4/ Spectron – a spoken language model trained end-to-end to directly process spectrograms; it can be fine-tuned to generate high-quality accurate spoken language; surpasses existing spoken language models in speaker preservation and semantic coherence.
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LLMs Struggle With New Knowledge Understanding and Association
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5/ LLMs Meet New Knowledge – presents a benchmark to assess LLMs' abilities in knowledge understanding, differentiation, & association; benchmark results show (unsurprisingly) that an LLM’s performance when introduced to new knowledge is not satisfactory.
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Fact-Checking Capabilities of Large Language Models Compared
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2/ Fact-checking with LLMs – investigates fact-checking capabilities of LLMs; shows the enhanced prowess of LLMs when equipped with contextual information; GPT4 outperforms GPT-3, but accuracy varies based on query language & claim veracity.
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Evaluate LLM Performance: Metrics and Benchmarking Strategies
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Master LLMs: Top Strategies to Evaluate LLM Performance In this video, we look into how to evaluate and benchmark Large Language Models (LLMs) effectively. Learn about perplexity, other evaluation metrics, and curated benchmarks to compare LLM performance. With practical tools
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Robust Prompts Maintain Value Across LLM Variations
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Yes. But some prompts are quite robust to noise (and to differences in LLMs), and that's their value.
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Spooky Black Light SDXL Fine-Tune Model Released
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Spooky black light SDXL fine tune anyone? https://
replicate.com/fofr/sdxl-blac
k-light
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Traffic Simulator Project Showcases MathWorks Career Growth
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Explore this traffic simulator created by Manuel during his internship! 🚗🌟
— MathWorks (@MathWorks) 29 octobre 2023
Now a full-time MathWorker, read about his journey from Grad School to a career at MathWorks👉 https://t.co/r8NqM46z5R #MathWorksCareers pic.twitter.com/3g0e9V2louExplore this traffic simulator created by Manuel during his internship! Now a full-time MathWorker, read about his journey from Grad School to a career at MathWorks http://
spr.ly/6014u6Bbe #MathWorksCareers
