The hottest Language processing Substack posts right now

And their main takeaways
Category
Top Technology Topics

How ERNIE, China's ChatGPT, Cracks Under Pressure

ChinaTalk • 459 implied HN points • 05 Sep 23
🕹 Technology AI Chatbot Ethics Language processing
  1. ERNIE filters out unsavory questions by making them impossible to type in or steering conversations away.
  2. ERNIE's proficiency in Chinese is strong, but it struggles with more complex prompts and may provide inaccurate information.
  3. ERNIE tends to copy-paste responses from 'trusted' sources when faced with prompts that could lead to non-permissible content.

Two AIs talking to one another

philsiarri • 22 implied HN points • 18 Mar 24
🕹 Technology Artificial Intelligence Neural Networks Language processing Robotics
  1. Researchers developed an artificial neural network that can understand tasks based on instructions and describe them in language to other AI systems.
  2. The AI model S-Bert, with 300 million artificial neurons, was enhanced to simulate brain regions involved in language processing, achieving linguistic communication between AI systems.
  3. This breakthrough enables machines to communicate using language, paving the way for collaborative interactions in robotics.

GPT-4 Doesn't Have "Gender Bias." It's Just Bad At Language (Still)

jonstokes.com • 154 implied HN points • 18 May 23
🕹 Technology Artificial Intelligence Software Language processing Engineering Data Analysis
  1. Different approaches to evaluating AI performance have practical implications in development, deployment, and regulation.
  2. Language models like GPT-4 struggle with resolving ambiguity in human language due to limitations in understanding context.
  3. Using an engineering approach, providing relevant context, and improving language parsing can help mitigate language model biases and inaccuracies.

Are we close to the Metaverse [Storytime Saturdays]

Technology Made Simple • 59 implied HN points • 23 Oct 22
🕹 Technology AI Virtual reality Language processing Content Generation
  1. Important aspects for the Metaverse include hardware, computer vision, language processing, information summary, cost-effectiveness, and easy content generation.
  2. Meta's research focuses on improving computer vision and language processing for the Metaverse, including real-time language translation and harmful content detection.
  3. Efficient machine learning training pipelines and advancements in content generation and personalization are key elements for Meta's progress in building the Metaverse.
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I compared Google Bard with GPT-4 on 10 criteria. The race is not even close | #38

Atomic Learnings • 6 implied HN points • 27 Mar 23
🕹 Technology AI Comparative Analysis Language processing Content Generation
  1. Google Bard was found to be more creative and engaging, but GPT-4 excelled in accuracy and providing detailed answers.
  2. In a comparison of 10 different criteria, GPT-4 outperformed Google Bard in areas like creativity, handling domain-specific queries, and providing actionable advice.
  3. Bard and GPT-4 both did well in multi-turn conversations, but GPT-4 showed better humor and adaptation to different tones.