Summary of Rag Foundry: a Framework For Enhancing Llms For Retrieval Augmented Generation, by Daniel Fleischer et al.
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generationby Daniel Fleischer, Moshe Berchansky,…
Summary of Medsyn: Llm-based Synthetic Medical Text Generation Framework, by Gleb Kumichev et al.
MedSyn: LLM-based Synthetic Medical Text Generation Frameworkby Gleb Kumichev, Pavel Blinov, Yulia Kuzkina, Vasily Goncharov,…
Summary of Evaluating the Performance Of Large Language Models For Sdg Mapping (technical Report), by Hui Yin et al.
Evaluating the Performance of Large Language Models for SDG Mapping (Technical Report)by Hui Yin, Amir…
Summary of Stbllm: Breaking the 1-bit Barrier with Structured Binary Llms, by Peijie Dong et al.
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMsby Peijie Dong, Lujun Li, Yuedong Zhong,…
Summary of Efficient Solutions For An Intriguing Failure Of Llms: Long Context Window Does Not Mean Llms Can Analyze Long Sequences Flawlessly, by Peyman Hosseini et al.
Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs…
Summary of What Comes After Transformers? — a Selective Survey Connecting Ideas in Deep Learning, by Johannes Schneider
What comes after transformers? – A selective survey connecting ideas in deep learningby Johannes SchneiderFirst…
Summary of Shieldgemma: Generative Ai Content Moderation Based on Gemma, by Wenjun Zeng and Yuchi Liu and Ryan Mullins and Ludovic Peran and Joe Fernandez and Hamza Harkous and Karthik Narasimhan and Drew Proud and Piyush Kumar and Bhaktipriya Radharapu and Olivia Sturman and Oscar Wahltinez
ShieldGemma: Generative AI Content Moderation Based on Gemmaby Wenjun Zeng, Yuchi Liu, Ryan Mullins, Ludovic…
Summary of A2sf: Accumulative Attention Scoring with Forgetting Factor For Token Pruning in Transformer Decoder, by Hyun-rae Jo et al.
A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer Decoderby Hyun-rae Jo,…
Summary of Stay Tuned: An Empirical Study Of the Impact Of Hyperparameters on Llm Tuning in Real-world Applications, by Alon Halfon et al.
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World…
Summary of Self-directed Synthetic Dialogues and Revisions Technical Report, by Nathan Lambert et al.
Self-Directed Synthetic Dialogues and Revisions Technical Reportby Nathan Lambert, Hailey Schoelkopf, Aaron Gokaslan, Luca Soldaini,…