In recent years, Large Language Models (LLMs) have revolutionised natural language processing by enabling machines to understand and…
Source: Medium https://t.co/NMGezv795L
5. Prompt Engineering with LLaMA-2
The following topics are covered in this course:
• LLaMA-2 https://t.co/jjRrAysXAo
• HuggingFace https://t.co/cWNvPrYYCL
Link: https://t.co/Gqn7J72Hk5
2. Getting Started with Deep Learning:
What you'll learn:
• PyTorch
• Convolutional Neural Networks (CNNS)
• Data Augmentation
• Transfer Learning
• Natural Language Processing
Link: https://t.co/sIDcelLyPZ
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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: https://t.co/BM9nfFuV5s
If you prefer not to use RStudio, Ifeanyi Idiaye has developed a web application that lets you use GWalkR directly in your browser: https://t.co/A0mrL4wUOU
#rstats #webapp #datascience #statistics