Parece que la propuesta de RETRO de DeepMind podría ser un camino interesante, donde el límite se puede establecer curando una base de datos que contenga sólo aquella información a la que se quiera dar acceso al chatbot. https://
deepmind.com/publications/i
mproving-language-models-by-retrieving-from-trillions-of-tokens
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CODE
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DeepMind RETRO: Controlling Chatbot Access Through Curated Databases
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FAISS Wrapper Now Returns Similarity Scores in Semantic Search
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Return scores during semantic search – h/t @krrish_dh In addition to getting back the top documents from a vectorstore, the FAISS wrapper now supports returning similarity scores for those documents as well Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/vectorstores.html#faiss-specific
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LangChain deployment templates documentation now available
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Deployment templates In the documentation, there is now a section for templates for how to deploy your LangChain app! https://
langchain.readthedocs.io/en/latest/depl
oyments.html
… Very open to contributions here – if you have any suggestions let us know! -
LangChain Multiple Memory Support Feature Release
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Multiple Memory support – @diwanksingh You can now easily create a new memory instance that is a combination of multiple other types of memory! You no longer have to pick just one Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/memory/examples/multiple_memory.html
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WolframAlpha Integration Tool for LangChain Framework
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WolframAlpha integration – @nickscamara_ Support for using Wolfram Alpha as a tool Collab Notebook: https://
colab.research.google.com/drive/1AAyEdTz
-Z6ShKvewbt1ZHUICqak0MiwR
… Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/utils/examples/wolfram_alpha.html
… s/o to others @brucehammer for suggesting this a few weeks ago, and others in the discord for reviewing! -
v0.0.60 Release: WolframAlpha Integration and Memory Support
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v0.0.60 – big release! WolframAlpha integration – @nickscamara_ Multiple Memory support – @diwanksingh Doc improvements – @Yoooongtae Return scores during semantic search – h/t @krrish_dh Add namespaces to @pinecone – @m_morzywolek Deployment templates
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Developer Returns to Coding After 1.5 Years Burnout
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It’s funny cause I didn’t write code in like 1.5 years, after selling and burning out. I’ll come back to it slowly tho.
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YOLOv8 Released: Object Detection and Instance Segmentation
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🔥YOLOv8 is finally here!
— Satya Mallick (@LearnOpenCV) 11 janvier 2023
Check out our video, which shows off the object detection and instance segmentation prediction results using the Ultralytics YOLOv8x model.
➡️ https://t.co/OHjVyBbUpO #yolo #yolov8 #yolov5 #objectdetection #deeplearning #ai #computervision pic.twitter.com/mjoXrJrbx3YOLOv8 is finally here!
Check out our video, which shows off the object detection and instance segmentation prediction results using the Ultralytics YOLOv8x model. https://
youtube.com/watch?v=QgF5PH
DCwHw
… #yolo #yolov8 #yolov5 #objectdetection #deeplearning #ai #computervision -
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Please check out our free website for 600+ AI tools easily sortable and searchable