Eric A. Suess (@esuess) profile picture

Prof. Suess

Hayward, CA
Joined June 2009
turnkey linux extending filesystem lvm turnkeylinux.org/blog/extend…
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In recent years, Large Language Models (LLMs) have revolutionised natural language processing by enabling machines to understand and… Source: Medium search.app/KkP71Ld6SmDVWA8A9
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Eric A. Suess retweeted
5. Prompt Engineering with LLaMA-2 The following topics are covered in this course: • LLaMA-2 ai.meta.com/llama/ • HuggingFace huggingface.co/ Link: nvda.ws/3AMriVC
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Eric A. Suess retweeted
2. Getting Started with Deep Learning: What you'll learn: • PyTorch • Convolutional Neural Networks (CNNS) • Data Augmentation • Transfer Learning • Natural Language Processing Link: nvda.ws/4ebLjmT
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NVIDIA is offering GenAI courses and training accessible from anywhere in the world. Here are 10 must-take courses you can't afford to miss in 2024! 🔖 [Bookmark this post for later]
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The algorithm that (eventually) revolutionized statistics - #SoMEpi youtu.be/Jr1GdNI3Vfo?si=DsQE… via @YouTube
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The GWalkR package in R is a powerful tool for data visualization and exploration. Designed to simplify complex data analysis, GWalkR transforms raw data into interactive visualizations, making it easier to understand and interpret your data sets. Here are some key features of GWalkR: 1️⃣ Interactive Plots: Generate dynamic and interactive plots with minimal code. This helps in identifying trends and patterns in your data quickly. 2️⃣ Ease of Use: With a user-friendly interface, GWalkR is accessible even for those who are new to R. The package integrates seamlessly with other R libraries, enhancing your data analysis workflow. 3️⃣ Customization: GWalkR offers a variety of customization options, allowing you to tailor visualizations to meet your specific needs. From color schemes to plot types, you have complete control over the appearance of your data. 4️⃣ Efficiency: Save time and effort in data analysis by automating the creation of visualizations. GWalkR processes large data sets efficiently, ensuring smooth performance even with extensive data. 5️⃣ Community Support: Benefit from a growing community of users and contributors who share tips, tricks, and support. This makes it easier to troubleshoot issues and stay updated with the latest features. Here is the package documentation: github.com/Kanaries/GWalkR If you prefer not to use RStudio, Ifeanyi Idiaye has developed a web application that lets you use GWalkR directly in your browser: graphic-walker-data-explorer… #rstats #webapp #datascience #statistics
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New tutorial! 🚀 Implementing Semantic Search: Jaccard Similarity and Vector Space Models ✨ Vector Space Models ✨ Cosine Similarity Metric ✨ TF-IDF ✨ Embeddings buff.ly/3zShj0E 👍 Author: Puneet Mangla
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Build an App using Streamlit for data visualization with PandasAI youtu.be/j-FQnJvesH4?si=tPFc… via @YouTube
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How to Use PandasAI Agent with Llama 3 using Ollama? youtu.be/9nyiePIrtbE?si=wepM… via @YouTube
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Data Analysis with PandasAI and Ollama - Locally and Free youtu.be/bw_e6xgGSTY?si=KoT0… via @YouTube
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Marker: This Open-Source Tool will make your PDFs LLM Ready youtu.be/mdLBr9IMmgI?si=h5UN… via @YouTube
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Step by step no-code RAG application using Langflow. youtu.be/RWo4GDTZIsE?si=WslD… via @YouTube
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