Latest News in Machine Learning - Analytics Vidhya Edition

A roundup of exciting developments in the world of machine learning, curated by FOSAI’s new semi-automated news report! Let me know if you’d like to see the format of these new reports changed. I’ll be experimenting with a few templates to see which stick the most.

Table of Contents

  1. Variational Autoencoders for Anomaly Detection
  2. AI and Image Generation Aesthetics
  3. Text to Sound with Large Language Models
  4. RLHF for High-Performance Decision-Making
  5. Generative Models in Semi-Supervised Learning
  6. Serverless Large Language Models with RunPod
  7. ChatGPT Plugins for Educational Enhancement
  8. Python in Excel for Advanced Analytics
  9. Harnessing Zero-shot and Few-shot Prompting in LLMs

Variational Autoencoders for Anomaly Detection

Intro: Explore the practical applications of generative AI in anomaly detection using Variational Autoencoders (VAEs).
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AI and Image Generation Aesthetics

Intro: Dive into the creative and technical aspects of AI-powered artistic expression, including Neural Style Transfer and GANs.
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Text to Sound with Large Language Models

Intro: Discover how AI can transform a musician’s voice command into melodious guitar sounds through ‘Musician’s Intent Recognition’.
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RLHF for High-Performance Decision-Making

Intro: Learn about RLHF, an emerging field blending Reinforcement Learning and human feedback for optimizing complex system performance.
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Generative Models in Semi-Supervised Learning

Intro: Understand how leveraging generative models can maximize the utility of limited labeled data in semi-supervised learning scenarios.
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Serverless Large Language Models with RunPod

Intro: Explore how serverless computing and Generative AI can work in harmony, especially for developers lacking local high-GPU resources.
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ChatGPT Plugins for Educational Enhancement

Intro: ChatGPT Plugins are customizing the educational experience, allowing users to browse the web and access specialized knowledge.
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Python in Excel for Advanced Analytics

Intro: Microsoft integrates Python into Excel, enhancing its capabilities in data analysis, machine learning, and predictive analytics.
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Harnessing Zero-shot and Few-shot Prompting in LLMs

Intro: Uncover the potential of Large Language Models in tasks like question-answering, creative writing, and critical analysis.
Read More

That’s the roundup for now. Stay tuned for more updates from this new semi-automated workflow.

  • rufus@discuss.tchncs.deEnglish
    2·
    1 year ago

    Alright. I’m not sure if it’s just me and I’m too sensitive. And if I only speak up to criticize and remain silent about positive things, that’s not okay either. So I’ve been a bit cautious. Because I enjoy this community.

    Automatically generated content (on Lemmy) is a bit of a pet peeve of mine. More often than not, it’s low-effort and low quality. And often it inadvertently kills engagement. I think this is especially true for reddit re-post bots, but also for other means of ‘dumping’ content here as long as the main concern is quantity.

    I’m okay if you continue however you want. If you want to know what I’d like in particular… I have 2 things:

    • I like content curated/selected by actual people. I’m okay if ‘the algorithm’ gets to pick what I watch on TikTok or YouTube, but I don’t want that here on Lemmy.
    • You can let AI help you write the articles. For example summarize the papers. However: It is good practice to clearly mark AI generated texts/paragraphs as such. For several reasons. Use the tools, but include a sentence like: “[Text generated by AI.]” or “[Articles summarized by ChatGPT]”.