LightTBNet

🖥 Github: https://github.com/dani-capellan/LightTBNet

📕 Paper: https://arxiv.org/pdf/2309.02140v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/montgomery-county-x-ray-set

https://news.1rj.ru/str/DataScienceT

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LLM_Fine_Tuning_Molecular_Properties

🖥 Github: https://github.com/SylwiaNowakowska/LLM_Fine_Tuning_Molecular_Properties

📕 Paper: https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/65030b55b338ec988a780108/original/chem-ber-ta-2-fine-tuning-for-molecule-s-hiv-replication-inhibition-prediction.pdf

🔥 Dataset: https://paperswithcode.com/dataset/moleculenet

https://news.1rj.ru/str/DataScienceT

🦙 LLaVA: Large Language and Vision Assistant

git clone https://github.com/haotian-liu/LLaVA.git
cd LLaVA

🖥 Github: https://github.com/haotian-liu/LLaVA

📕 Paper: https://arxiv.org/pdf/2309.09958v1.pdf

⭐️ Datasets: https://paperswithcode.com/dataset/mmlu

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LLMKE

🖥 Github: https://github.com/bohuizhang/llmke

📕 Paper: https://arxiv.org/pdf/2309.08491v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/lama

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😠 GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Fuzzer maintains over 90% attack success rate against ChatGPT and Llama-2 models.

🖥 Github: https://github.com/sherdencooper/gptfuzz

📕 Paper: https://arxiv.org/abs/2309.10253v1

⏩ Dataset: https://sites.google.com/view/llm-jailbreak-study

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Distillation-in-dg

🖥 Github: https://github.com/vorobeevich/distillation-in-dg

📕 Paper: https://arxiv.org/pdf/2309.11446v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/office-home

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📊 PAMS: Platform for Artificial Market Simulations

Artificial market simulation is a multi-agent simulation and run virtual markets on your computer.

$ pip install pams

🖥 Github: https://github.com/masanorihirano/pams

📕 Paper: https://arxiv.org/abs/2309.10729v1

⏩ Docs: https://pams.hirano.dev/

https://news.1rj.ru/str/DataScienceT

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

🖥 Github: https://github.com/dvlab-research/longlora

📕 Paper: https://arxiv.org/pdf/2309.12307v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/pg-19

https://news.1rj.ru/str/DataScienceT

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