This is a great example code snippet for creating a QA bot that streams via FastAPI The LangChain Expression Language makes this much simpler than before (more accurately, the standard streaming interface that all LCEL object have makes this simpler)
OPEN SOURCE
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Text Splitters: Nuanced AI Component Deserving More Discussion
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hopefully this also inspires folks to add new text splitters! imo one of the most nuanced and interesting pieces, yet less discussed
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Text Splitting Playground Open Source for LLM Applications
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Text Splitting Playground Chunking text into appropriate splits is seemingly trivial yet very nuanced Open sourcing a playground to help explore different text splitting strategies GitHub: https://
github.com/langchain-ai/t
ext-split-explorer
… Hosted Playground: https://
share.streamlit.io/app/langchain-
text-splitter/
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H2O.ai Sponsors AI42023 with Open-Source ML Platform
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We're proud to be the official Open-Source ML Platform category sponsor at #Ai42023 Come by the http://
H2O.ai booth to learn how to leverage #GenAI to automate workflows while controlling your data and ensuring privacy. -
H2O.ai Booth Showcases h2oGPT and LLM Studio at AI4
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Standing room only at the #H2O.ai booth at #ai4! Lots of excitement around our open source h2oGPT and LLM Studio demos. Stop by and see us! #h2oGPT #LLM #ai42023 #generativeAI
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Fine-tuning SDXL models on Replicate platform
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FYI https://
replicate.com/blog/fine-tune
-sdxl
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Fine-tuning Your Own Model Guide Released
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Check out the blog post to learn more about fine-tuning your own model. Happy hacking!
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Fine-tune SDXL open-source image model with your images
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SDXL is the best open-source image model ever created. Now you can fine-tune it with your own images on Replicate.
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Groq Achieves 100 Tokens Per Second With Llama-2 70B
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Announcement. @GroqInc is the first to accomplish 100 tokens per second, per user, running @MetaAI Llama-2 at 70B parameter size as an #LLM . No kernels or CUDA libraries necessary! Save thousands of developer hours with our deterministic Compiler methods.
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Open Source Models API Integration with Fine-tuning Capabilities
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Really excited for this integration – not only do they support the top OSS models behind a stable & reliable API, but they're also making it easy to finetune (and then host) your own