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Productionizing and scaling Python ML workloads simply | Ray

Scale your compute-intensive Python workloads. From reinforcement learning to large-scale model serving, Ray makes the power of distributed compute easy and accessible to every engineer. Source: Productionizing and scaling Python ML workloads simply | Ray Read the original story

đź’Ą Training Neural Nets on Larger Batches: Practical Tips for 1-GPU, Multi-GPU & Distributed setups | by Thomas Wolf | HuggingFace | Medium

Training neural networks with larger batches in PyTorch: gradient accumulation, gradient checkpointing, multi-GPUs and distributed setups… Source: Training Neural Nets on Larger Batches: Practical Tips for 1-GPU, Multi-GPU & Distributed setups | by Thomas Wolf | HuggingFace | Medium Read… Continue Reading →

Building a Multi-User Chatbot with Langchain and Pinecone in Next.JS

In this example, we’ll imagine that our chatbot needs to answer questions about the content of a website. To do that, we’ll need a way to store and access that information when the chatbot generates its response. Source: Building a… Continue Reading →

Mountpoint for Amazon S3 – Generally Available and Ready for Production Workloads | AWS News Blog

Mountpoint for Amazon S3 is an open source file client that makes it easy for your file-aware Linux applications to connect directly to Amazon Simple Storage Service (Amazon S3) buckets. Announced earlier this year as an alpha release, it is now generally available and ready… Continue Reading →

Meet Academic Standards With These Essential WordPress Plugins For Scholarly Content

Enhance your academic content’s credibility and make navigation of your articles easier on WordPress with these essential plugins. Source: Meet Academic Standards With These Essential WordPress Plugins For Scholarly Content Read the original story

Notes on better search 8/18/2023

Goal: better, more focused search for www.cali.org. In general the plan is to scrape the site to a vector database, enable embeddings of the vector db in Llama 2, provide API endpoints to search/find things. Hints and pointers. Llama2-webui –… Continue Reading →

Configuring Jupyter Notebook in Windows Subsystem Linux (WSL2) | by Cristian Saavedra Desmoineaux | Towards Data Science

Here’s a great quick start guide to getting Jupyter Notebook and Lab up and running with the Miniconda environment in WSL2 running Ubuntu. When you’re finished walking through the steps you’ll have a great data science space up and running… Continue Reading →

Demystifying Text Data with the unstructured Python Library | Saeed Esmaili

In the world of data, textual data stands out as being particularly complex. It doesn’t fall into neat rows and columns like numerical data does. As a side project, I’m in the process of developing my own personal AI assistant…. Continue Reading →

AI Reading List 7/6/2023

What I’m reading today. Researchers from Peking University Introduce ChatLaw: An Open-Source Legal Large Language Model with Integrated External Knowledge Bases — This includes links to the article and Github repo Why Embeddings Usually Outperform TF-IDF: Exploring the Power of… Continue Reading →

AI Reading List 7/5/2023

The longer holiday weekend  edition. Opportunities and Risks of LLMs for Scalable Deliberation with Polis — Polis is a platform that leverages machine intelligence to scale up deliberative processes. In this paper, we explore the opportunities and risks associated with… Continue Reading →

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