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Comparison of various Text Distance Metrics: http://
bit.ly/2FkLFuz —————
#BigData #DataScience #AI #MachineLearning #DataMining #TextAnalytics #TextMining #NLProc #Statistics #DataFluency #DataWrangling #FeatureEngineering #DataScientists
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Comparison of Various Text Distance Metrics for Data Science
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Data Science Learning Path with Tutorial Resources and Links
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𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵 𝗼𝗳 #𝗗𝗮𝘁𝗮𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (with links to many tutorials): https://
linkedin.com/posts/nishika-
verma-6234121b4_python-sql-excel-activity-7057953994572185600-9AGi
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State-of-the-Art Computer Vision Models and Techniques Collection
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Github collection of state-of-the-art #ComputerVision models, techniques, and notebooks: https://
github.com/roboflow/noteb
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Code and Trained Model with Speech-to-Speech
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Du code, un modèle que j'ai entrainé et du "spech-to-speech" 🙂
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Advanced AI Features Coming to JavaScript
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Some really cool and advanced features making their way to JS! Constitutional AI Chain Time weighted retriever LLMChain Extractor (compresses documents post retrieval)
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Router Chains: LLM Selection Methods and Agent Use Cases
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Under the hood, these currently use LLMs to do the selection of the chain – but this can easily be swapped out with embedding similarity or any other method Can be viewed as a simple, one step agent that returns directly What are some other use cases for router chains?
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Forking and Routing: Building Blocks for AI Chain Construction
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Why add this? We view this as a basic building block for constructing chains Just as you could want to run a sequence of chains sequentially, there's also the basic building block of forking and routing to the correct chain What are some of the use cases?
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RouterChain Dynamic Prompt Selection with LangChain
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MultiPromptChain This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects the prompt to use for a given input Basically, route between prompts depending on user input! Docs: https://
python.langchain.com/en/latest/modu
les/chains/examples/multi_prompt_router.html
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MultiRetrievalQAChain: Dynamic Retrieval System Routing
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MultiRetrievalQAChain This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects which Retrieval system to use Can be used to route questions to the correct retriever (based on content or intent) Docs: https://
python.langchain.com/en/latest/modu
les/chains/examples/multi_retrieval_qa_router.html
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Router Chains: LangChain Classification for Dynamic Chain Selection
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Router Chains A simple (yet much requested) abstraction that started with a @ShreyaR pr months ago and is finally in @langchain
! – Router Chain does classification to choose sub chain to use
– Call the selected chain with that input Lots of potential use cases!