Updated tool calling docs More and more model APIs are starting to expose `function` and `tool` calling parameters We've improved the DevEx around this, and updated key docs Function calling guide: https://
python.langchain.com/docs/modules/m
odel_io/chat/function_calling
… Tool calling output parser: https://
python.langchain.com/docs/modules/m
odel_io/output_parsers/types/openai_tools
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LangChain Improves Function and Tool Calling Documentation
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Mathematics and Art Intersection in Data Science and AI
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Math and Art! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Math-Art -
Grammar of Graphics Implementation for Data Visualization
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An Implementation of the Grammar of Graphics. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Impl-Grammar-G
raphics
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Practical Time Series Forecasting With R Guide
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Top #Books on Practical Time Series Forecasting With R. #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #JavaScript #ReactJS #TensorFlow #Java #CloudComputing #Serverless #Linux #Mathematics #Programming #Coding #100DaysofCode https://
geni.us/Time-Series-Fo
recast-R
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TensorFlow 2 Reinforcement Learning Cookbook Guide
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TensorFlow 2 #ReinforcementLearning Cookbook! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/TF2-RL-Cookbook -
Essential Linux Books for Data Science and Programming
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Best Linux Books to Learn! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/10-Linux-from-
Scratch
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PyTorch Training Pipeline: Dataloaders, Modules, Distributed Learning
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That's a wrap! In future we'll cover: – Dataloaders
– torch nn.module
– The Collate function
– Distributed Training
– Training/Validation loops
– Callbacks using @LightningAI
's PyTorchLightning Find me → @akshay_pachaar And don't miss any of the future updates! Cheers! -
Tokenization in NLP: Breaking Down Text into Pieces
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In NLP we breaking down text into smaller pieces, commonly known as tokens, usually words or subwords. An essential initial step in that transforms raw text into a format that can be consumed by embedding(vectors) generators. Here's how we do it in a typical Text Dataset Class:
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Creating Dataset Class for Iris Tabular Data
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For tabular data, let's consider the famous Iris dataset. Here's how to create a `Dataset` class for it:
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PyTorch Dataset Class: Text, Tabular, and Image Data
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PyTorch 101: Dataset Class clearly explained! Today, we learn how to build a PyTorch Dataset for: – Text
– Tabular
– and Imagery Data Let's go!