Pattern Recognition and #ComputerVision CS NUS. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Pattern-CompSci
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Pattern Recognition and Computer Vision in Data Science
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I Heart Logs: Essential Resource for Data Science and Big Data
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I Heart Logs! #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/I-Heart-Logs -
Apache Spark: The Definitive Guide for Big Data Analytics
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#ApacheSpark: The Definitive Guide. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
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Open Source Translation Models: Transformers vs English Pipeline
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yes open source, vrai travail, par contre sur la fin il parle de traduction et qu'il dit que ca passe par de l'anglais et là c'est pas du tout ça, ils passent par les transformers et pour l'entraînement et Meta a les même résultats en terme de traduction
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Baby GPT as Finite State Markov Chain Visualization
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This is a baby GPT with two tokens 0/1 and context length of 3, viewing it as a finite state markov chain. It was trained on the sequence "111101111011110" for 50 iterations. The parameters and the architecture of the Transformer modifies the probabilities on the arrows. E.g. we
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Support for KerasNLP contributions and collaborative development
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Yes, definitely. Would be happy to support you with that as part of KerasNLP if you're interested in contributing this.
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Building More in the Open: Open Source Development Approach
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Yeah, maybe that's better than the alternative. More stuff built in the open?
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Pre-trained LLMs for NPC Game Control via Prompting
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You need pre-trained LLM which doesn’t need to be fine-tuned for this game (e.g. GPT3.5) and you prompt it with NPC’s observations, personality traits, memories and description of possible game actions/goals.
This is the principle. Then the devil is in the details… to make it -
GitHub CLI Cheat Sheet for Data Science Productivity
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GitHub CLI for Data Science Cheat Sheet: The GitHub CLI is a tool that allows for interaction with the GitHub platform with the command line interface. Mastering the most-used commands will allow you to become a productive of a data science, data… https://
kdnuggets.com/2023/03/github
-cli-data-science-cheat-sheet.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=github-cli-for-data-science-cheat-sheet
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Self-Improving Code LLMs Boost Performance Through Synthetic Data
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7/ Self-Improving Code LLMs- generates pseudo data from knowledge gained through pre-training & fine-tuning; adds the data to the training dataset for the next step; shows that different code generation frameworks can be improved in performance.