The hottest Machine Translation Substack posts right now

And their main takeaways
Category
Top Technology Topics

Import AI 357: Facebook's open source AGI plan; Google beats humans at geometry problems; and Intel makes its GPUs better

Import AI • 2076 implied HN points • 22 Jan 24
🕹 Technology AI Research Machine Learning Machine Translation
  1. Facebook aims to develop artificial general intelligence (AGI) and make it open-source, marking a significant shift in focus and possibly accelerating AGI development.
  2. Google's AlphaGeometry, an AI for solving geometry problems, demonstrates the power of combining traditional symbolic engines with language models to achieve algorithmic mastery and creativity.
  3. Intel is enhancing its GPUs for large language models, a necessary step towards creating a competitive GPU offering compared to NVIDIA, although the benchmarks provided are not directly comparable to industry standards.

Last Week in AI #255: AI voice scams, flood of bad AI translations, self-rewarding LLMs, FTC probes AI partnerships of tech giants, and more!

Last Week in AI • 137 implied HN points • 29 Jan 24
🕹 Technology AI Machine Translation Language Models Tech Giants
  1. Scammers are using AI to mimic voices and deceive people into giving money, posing serious risks for communication security.
  2. Many sentences on the internet have poor quality translations due to machine translation, especially affecting low-resource languages.
  3. Researchers introduce Self-Rewarding Language Models (SRLMs) as a novel method to improve Large Language Models (LLMs) without human feedback.

How does ChatGPT work? A brief history of computational language understanding

prakasha • 648 implied HN points • 23 Feb 23
🕹 Technology AI Neural Networks Machine Translation
  1. A brief history of computational language understanding dates back to collaboration between linguists and computer scientists.
  2. Language models like ChatGPT use word embeddings to predict and generate text, allowing for effective context analysis.
  3. Neural networks, like Transformers, have revolutionized NLP tasks, enabling advancements in machine translation and language understanding.

Can we do better than ChatGPT for translation?

Dubverse Black • 98 implied HN points • 05 Jul 23
🕹 Technology Machine Translation Language Models Open Source
  1. The ChatGPT-powered translations are still performing better than other models for most translations.
  2. COMET is an important metric for evaluating translations, focusing on fluency, adequacy, and meaning conveyed.
  3. Open source LLMs like IndicTrans2 and NLLB may be inferior to GCP and GPT, but they can be fine-tuned for better performance.

Why machine translation still struggles with the world's most popular languages; what's next for generative video; Adobe bets on ethical AI; inside Stability AI's implosion

Computerspeak by Alexandru Voica • 0 implied HN points • 29 Mar 24
🕹 Technology AI Machine Translation Ethical AI
  1. Despite advancements, machine translation struggles with aspects like cultural context and nuances that humans provide.
  2. New AI models based on transformer architectures are enhancing machine translation by understanding syntax, context, and cultural references.
  3. Low-resource languages pose challenges for machine translation due to limited data, leading to inaccurate or incomprehensible translations.
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