CeLLama
Single cell annotation with local LLMs. Cell type annotation with local Large Language Models (LLMs) - Ensuring privacy and speed with extensive customized reports. A simple R package which helps with annotation of single cell experiments such as single cell RNA-seq.
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LLaMA
research.facebook.comA foundational, 65-billion-parameter large language model
LLM
github.coma Rust Crate/CLI for CPU Inference of LLMs (LLaMA, GPT-NeoX, etc.)
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
StemJSON
stemjson.coma language for LLMs to extend native mobile apps on the fly
PageIndex for Reasoning-Based RAG
vectifyai.notion.siteLarge Language Models (LLMs) are powerful tools for language understanding and generation, but they suffer from a fundamental limitation: the context window. Most LLMs can only process a limited number of tokens at a time. For instance, Claude does not allow uploading very long documents in full, which makes tasks like long document analysis or question answering particularly challenging.