Long-Context Retrieval Models with Monarch Mixer
hazyresearch.stanford.edu
Long-Context Retrieval Models with Monarch Mixer
We could have retrieved embeddings for long documents – instead, we’ve retrieved the vectors only for each single word.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
- Leveraging Document and Corpus Structure- Scaling to Multiple Languages]
Donald Metzler • Rethinking Search: Making Domain Experts out of Dilettantes
uniflow provides a unified LLM interface to extract and transform and raw documents.
- Document types: Uniflow enables data extraction from PDFs, HTMLs and TXTs.
- LLM agnostic: Uniflow supports most common-used LLMs for text tranformation, including
- OpenAI models (GPT3.5 and GPT4),
- Google Gemini models (Gemini 1.5, MultiModal),
- AWS BedRock models,
- Huggingf
CambioML • GitHub - CambioML/uniflow-llm-based-pdf-extraction-text-cleaning-data-clustering: LLM-based text extraction from unstructured data like PDFs, Words and HTMLs. Transform and cluster the text into your desired format. Less information loss, more interpretation, and faster...
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