Wikipedia source information – @rubensmau When you get a document from wikipedia search, it now comes with a `page` attribute (the page it was fetched from) This is needed when doing question/answering with sources (so you can cite the correct page)
AI
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SQL Chain Update: Row Limit Parameter Implementation
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Updated SQL chain – @fpingham Similar to the above, the SQL chain would sometimes fail if the query generated too many rows. @fpingham added a parameter to help limit the number of rows that are returned https://
langchain.readthedocs.io/en/latest/modu
les/chains/examples/sqlite.html#choosing-how-to-limit-the-number-of-rows-returned
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LangChain introduces multistep SQL chain for database queries
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New multistep SQL chain Sometimes there are too many SQL tables to put information about all of them into context. There's now a chain that: 1. selects which tables are relevant to the query
2. runs the previous SQL chain only over those tables https://
langchain.readthedocs.io/en/latest/modu
les/chains/examples/sqlite.html#sqldatabasesequentialchain
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LangChain API Chain Update: Optimized JSON Response Generation
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Updated API chain (and notebook) – @fpingham Sometimes, the API chain would fail if it generated too long of a json response. @fpingham changed the prompt to instruct to generate a minimal response He also added an example notebook! https://
langchain.readthedocs.io/en/latest/modu
les/chains/examples/api.html
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Version 0.0.64 Release: Enhanced Robustness for Large Context
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v0.0.64 a bunch of updates making it more robust to large context Updated API chain – @fpingham Updated SQL chain – @fpingham New multistep SQL chain
Parsing of agent responses – h/t @krrish_dh and Wikipedia source information – @rubensmau -
Developmental Robotics and Caregiver Robots Losing Research Focus
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Some parts of developmental robotics has focused on caregivers, but indeed the field has alas lost attention over the years.
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Real-Time Feature Stores Transform Machine Learning Model Performance
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Just discovered the power of a real-time feature store for Machine Learning No more stale data, instant feature updates, and improved model performance. It's a game-changer for data science teams! Learn more
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Information Advantage Podcast: AI, Security and Data Insights
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New #podcast Ep @techradiottt Join @OpenText EVP & Chief Product Officer @MuhiSMajzoub & I All Things #Information Advantage! http://
bit.ly/InfoAdvantage @Webroot #SDGs @ahier @dinisguarda #Security #data @moingshaikh @NolwennGer #AI @mikeflache #lowcode #CX @DeepLearn007 -
Advertising Model Strategy for Technology Platforms
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If they were pursuing the pure advertising model, which I have written extensively, including in this update, that I don’t think they should, then that is the right course of action.
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Implement Feedforward Neural Network in Keras for MNIST Classification
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💡NEW Video Out Now!
— Satya Mallick (@LearnOpenCV) 16 janvier 2023
Learn how to implement a feedforward neural network in Keras to classify handwritten digits from the MNIST dataset.
▶️Watch Now: https://t.co/eYIIFoIIOp#keras #mnistdataset #dataset #computervision #ai #deeplearning #machinelearning #artificialintelligence pic.twitter.com/2y3TcOQD86NEW Out Now!
Learn how to implement a feedforward neural network in Keras to classify handwritten digits from the MNIST dataset.
Watch Now: https://
youtube.com/watch?v=Lof9ji
eVF0s
… #keras #mnistdataset #dataset #computervision #ai #deeplearning #machinelearning #artificialintelligence