Curated for content, computing, and digital experience professionals

Day: July 17, 2024

DeepL launches LLM focused on translation quality and performance

DeepL, a global Language AI company, announced its next-generation language model, powered by a highly-specialized LLM technology built specifically for translation and editing to outperform competitors. The update enhances translation quality and performance in DeepL’s Language AI platform for businesses:

  • A specialized LLM: the DeepL solution leverages an LLM uniquely tuned for language, resulting in more human-like translations and writing for a variety of use cases with a reduced risk of hallucinations and misinformation.
  • Proprietary data: unlike general purpose models that simply train on the public internet, the DeepL model leverages over seven years of proprietary data specifically tuned for content creation and translation.
  • Human model tutoring: with a focus on quality, the DeepL model leverages thousands of hand-picked language experts specifically trained to “tutor” the model to best-in-class translation.

Translations using the next-gen model are available for DeepL Pro customers for translations in English, Japanese, German, and Simplified Chinese, with additional languages coming soon. The LLM can be activated within the web translator by selecting “next-gen model”. DeepL Pro users are protected by enterprise-grade security and compliance standards (ISO 27001 certification, GDPR/SOC 2 type 2 compliance), and no Pro translations are ever used to train its models.

https://www.deepl.com/en/press-release#2GYyHCVU8bjbu1iewCwLLx

Gilbane Advisor 7-17-24 —GenAI Squared, Math limits & AGI

This week we feature articles from Alexey Evdokimov, and Devansh.

Additional reading comes from Joan Westenberg, Dan McCreary, Scott Brinker, and Andrew Deck.

News comes from Franz, TransPerfect, Syncro Soft, and Foxit.

Our next issue will arrive July 31.

All previous issues are available at https://gilbane.com/gilbane-advisor-index


Opinion / Analysis

“GenAI Squared.” How can a product avoid the downfall of most LLM-driven startups?

Alexey Evdokimov…
“This article aim[s] to explore innovative LLM utilization strategies that could help a new GenAI product survive in this fiercely competitive landscape… Before we dive into that, let’s examine the ways of using LLM which are more likely to steer a startup towards failure.”

Definitely worth a read by anyone involved in AI product strategy. This is Evdokimov’s second of three posts on the topic. (9 min)

https://ai.gopubby.com/genai-squared-how-can-a-product-avoid-the-downfall-of-most-llm-driven-startups-183619ab7883

The limitations of math, big data, and what it means for AGI

Devansh provides a unique and compelling case for scaling back expectations of AGI. His article argument is also relevant the utility of LLMs and AI products in general, not just AGI. (15 min)

https://artificialintelligencemadesimple.substack.com/p/the-limitations-of-math-big-data

More Reading

All Gilbane Advisor issues


Content technology news

With GlobalLink Live audiences can consume live speech at large events, group meetings, or one-on-one in their preferred language regardless of the source language.
https://globallink.transperfect.com

Foxit updates PDF SDK for Web 10.0

The PDF SDK update is focused on a more streamlined and efficient user experience, enhanced productivity tools, and added functionality.
https://www.foxit.com

Franz announces AllegroGraph 8.2

ChatStream with AllegroGraph’s Neuro-Symbolic AI capabilities unlocks contextual enterprise knowledge through text queries with long-term Memory.
https://franz.com

Syncro Soft releases Oxygen Content Fusion 7.0

The new version includes a personal authoring workspace where you can make changes across multiple files and commit them directly to the repository.
https://www.oxygenxml.com/content_fusion/whats_new.html

All content technology news


The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news most Wednesdays. We do not sell or share personal data.

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