🧠 LLM - codenm.no2 · Scour

Variational Neurons in Transformers for Language Modeling 💬LLMs

arxiv.org·2d·

Inference Engines — A visual deep dive into the journey of a token down the transformer layers 🤖Large Language Models

femiadeniran.com·4d·r/LocalLLaMA·

ml-explore/mlx-lm: Run LLMs with MLX 🤖LLM Inference

github.com·1d·

How ChatGPT Works Explained With Minimal Python Knowledge 🤖Large Language Models

pub.towardsai.net·4d·

Fast and Accurate Probing of In-Training LLMs' Downstream Performances 🤖LLM Inference

arxiv.org·18h·

Spark-LLM-Eval: A Distributed Framework for Statistically Rigorous Large Language Model Evaluation 💬LLMs

arxiv.org·1d·

LLM Probe: Evaluating LLMs for Low-Resource Languages 🤖LLM Inference

arxiv.org·1d·

DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization 💬LLMs

arxiv.org·6d·

M-MiniGPT4: Multilingual VLLM Alignment via Translated Data 🤖LLM Inference

arxiv.org·1d·

Sparse Auto-Encoders and Holism about Large Language Models 💬LLMs

arxiv.org·3d·

Conditional Factuality Controlled LLMs with Generalization Certificates via Conformal Sampling 🤖LLM Inference

arxiv.org·2d·

Performance Evaluation of LLMs in Automated RDF Knowledge Graph Generation 💬NLP

arxiv.org·1d·

ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs 💬LLMs

arxiv.org·3d·

Transformers learn variable-order Markov chains in-context 🤖Large Language Models

arxiv.org·2d·

One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting 💬LLMs

arxiv.org·1d·

Large Language Model as Token Compressor and Decompressor 🤖Large Language Models

arxiv.org·6d·

Compressing Transformer Language Models via Matrix Product Operator Decomposition: A Case Study on PicoGPT 🤖Large Language Models

arxiv.org·2d·

Self-Improvement of Large Language Models: A Technical Overview and Future Outlook 💬LLMs

arxiv.org·6d·

Error Understanding in Program Code With LLM-DL for Multi-label Classification 💬LLMs

arxiv.org·6d·

When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models 💬LLMs

arxiv.org·3d·

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