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What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Automate browser based workflows with AI
Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience…
FastAPI framework, high performance, easy to learn, fast to code, ready for production
LlamaIndex is the leading document agent and OCR platform
A playbook for systematically maximizing the performance of deep learning models.
Archived: Emblem Giving is a sample application that demonstrates a serverless architecture with continuous delivery, and trouble recovery. 💠
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-speech
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Best Practices on Recommendation Systems
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
🏋️ Python / Modern C++ Solutions of All 3999 LeetCode Problems (Weekly Update)
Installation help docs for Cloud Pak for Data on IBM Cloud
Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine
Data Structures and Algorithms in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Elyra extends JupyterLab with an AI centric approach.
A MNIST-like fashion product database. Benchmark 👇
An Open Source Machine Learning Framework for Everyone
Can we quickly summarize & visualize text to get the details about the unstructured data? Yes we can! Please review this code pattern for all the steps involved to quickly summarize & visualize the…
Accompanying repository for GkmExplain paper