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title: README |
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colorTo: blue |
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--- |
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Welcome to the llmware HuggingFace page. We believe that the ascendence of LLMs creates a major new application pattern and data |
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pipelines that will be transformative in the enterprise, especially in knowledge-intensive industries. Our open source research efforts |
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are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as building high-quality |
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automation-focused enterprise Agent, RAG and embedding models. |
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Our model training initiatives fall into four major categories: |
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--SLIMs (Structured Language Instruction Models) - small, specialized function calling models for stacking in multi-model, Agent-based workflows |
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--BLING/DRAGON - highly-accurate fact-based question-answering models |
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--Industry-BERT - industry fine-tuned embedding models |
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--Private Inference Self-Hosting, Packaging and Quantization - GGUF, ONNX, OpenVino |
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Please check out a few of our recent blog postings related to these initiatives: |
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[SMALL MODEL ACCURACY BENCHMARK](https://medium.com/@darrenoberst/best-small-language-models-for-accuracy-and-enterprise-use-cases-benchmark-results-cf71964759c8) | |
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[OUR JOURNEY BUILDING ACCURATE ENTERPRISE SMALL MODELS](https://medium.com/@darrenoberst/building-the-most-accurate-small-language-models-our-journey-781474f64d88) | |
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[THINKING DOES NOT HAPPEN ONE TOKEN AT A TIME](https://medium.com/@darrenoberst/thinking-does-not-happen-one-token-at-a-time-0dd0c6a528ec) | |
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[SLIMs](https://medium.com/@darrenoberst/slims-small-specialized-models-function-calling-and-multi-model-agents-8c935b341398) | |
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[BLING](https://medium.com/@darrenoberst/small-instruct-following-llms-for-rag-use-case-54c55e4b41a8) | |
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[RAG-INSTRUCT-TEST-DATASET](https://medium.com/@darrenoberst/how-accurate-is-rag-8f0706281fd9) | |
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[LLMWARE EMERGING STACK](https://medium.com/@darrenoberst/the-emerging-llm-stack-for-rag-deee093af5fa) | |
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[MODEL SIZE TRENDS](https://medium.com/@darrenoberst/are-the-mega-llms-driving-the-future-or-they-already-in-the-past-c3b949f9f5a5) | |
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[OPEN SOURCE RAG](https://medium.com/@darrenoberst/open-source-llms-in-rag-89d397b39511) |
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[1B-3B-7B LLM CAPABILITIES](https://medium.com/@darrenoberst/rag-instruct-capabilities-they-grow-up-so-fast-2647550cdc0a) |
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Interested? [Join us on Discord](https://discord.gg/MhZn5Nc39h) |
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