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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CODE
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SQL Chain Update: Row Limit Parameter Implementation
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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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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 -
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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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 -
GPT-3 instruct tuning enables prompting for classification tasks
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Ignoring the inexactness of “new models” I think this point is right. GPT-3 (with instruct tuning) allows devs willing to learn prompting to condition useful models (e.g. think classification / entity extraction) that weren’t feasible before without deeper ML knowledge.
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Free Directory of 650+ AI Tools Across 45 Categories
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You can also check out our free directory of over 650 tools categorized into 45+ categories and filterable with options like free, waitlist and open source
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Data Science vs Artificial Intelligence Key Comparisons
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Data science vs. artificial intelligence (AI): Key comparisons – VentureBeat Read more here: https://
ift.tt/dawbJcK #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT -
DeepMind Tracr: Compiler Converting RASP to Transformer Weights
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DeepMind proposes Tracr, a compiler for converting RASP programs into transformer weights. This way of constructing NNs weights enables the development and evaluation of new interpretability tools. 3 of 11
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Machine Learning Types and Applications Infographic Guide
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Want to know more about #machinelearning? Check out the #infographic for a breakdown of the different types and their applications.
Learn more with @ingliguori #AI #deeplearning #DigitalTransformation #ArtificialIntelligence #Python #datascience #NeuralNetworks #GenerativeAI