The hottest Text generation Substack posts right now

And their main takeaways
Category
Top Technology Topics

Llama 3's Spotlight, Robots that Groove, Google's Gemini Timeout, & 2 other Stories

ppdispatch • 8 implied HN points • 01 Mar 24
🕹 Technology AI Robots Text generation
  1. Google faced a controversy with its image-generating AI model, Gemini, highlighting the importance of responsible AI development and oversight.
  2. Mistral AI introduced Mistral Large, a powerful text generation model with multilingual capabilities, partnering with Microsoft for integration.
  3. Apple has canceled its long-term electric car project, redirecting focus to advancing AI capabilities, while Meta is set to launch Llama 3, a refined language model that handles controversial queries.

LLMs are machines. Are you one too?

70 Years Old. WTF! • 58 implied HN points • 19 Feb 23
🕹 Technology AI Machine Learning Language Models Text generation
  1. LLMs are Large Language Models, which are computer systems trained to generate language based on patterns.
  2. LLMs can write better than most humans, but they lack the freedom of expression that humans have.
  3. The difference between how a human writes and how a machine like ChatGPT generates text is the ability to freely use explicit language.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

The Purpose of a System is What it Does

Cybernetic Forests • 59 implied HN points • 20 Nov 22
🕹 Technology AI Ethics Text generation Social media
  1. The purpose of a system is reflected in what it actually does, not just what it claims to do.
  2. AI systems like Galactica may generate convincing but inaccurate results due to lack of contextual understanding.
  3. Criticism and evaluation of AI technology is crucial to ensure intended purposes align with actual outcomes and potential risks are identified.

The use cases of large language models(LLMs)

Experiments with NLP and GPT-3 • 1 HN point • 12 Mar 23
🕹 Technology AI NLP Automation Text generation
  1. Large language models are not AGI but are making significant advancements in solving various NLP problems.
  2. LLMs excel in tasks like parts of speech tagging, semantic parsing, named entity recognition, and question answering.
  3. LLMs can automate back office work and offer solutions for tasks like stemming, lemmatization, relationship extraction, summarization, keyword extraction, and text generation.