#language-models-in-spanish

#language-models-in-spanish

Espina humorously admitted to oversleeping on a significant news day, stating, 'Breaking news, mi gente! I can't believe it.' His videos celebrated Maduro's fall but also expressed concern about the complexities of the situation.

Women represented 16.9% of online gamblers in 2024. Even with that imbalance, regulators say the pace of growth suggests a noticeable generational change in a sector that has long been dominated by men. Authorities recorded 1.99 million active online gamblers across licensed platforms last year. Among them were 335,627 women.

Now, Gary, repeat after me: Quiero una margarita, por favor, my Spanish tutor instructs. I cringe at the butchered Spanglish my estuary accent produces. Like Del Boy Trotter ordering a cocktail: Key yeah row oon margari'a, pour far four. It's 2023, I'm 41, living in Argentina and battling the frustration and disempowerment of learning a new language at this age, longing for my elastic 11-year-old brain over this husked-out mush.

As explained by Meta: AI-powered translations for Reels are starting to roll out in more languages, including Bengali, Tamil, Telugu, Marathi, and Kannada, on Instagram. These new additions build on our existing language support for English, Hindi, Portuguese, and Spanish. The addition of more of the languages spoken in India is significant, because India is now the biggest single market for both Facebook and Instagram usage, beating out the U.S. by a significant margin.

Evaluating a language by its usefulness is reductive about as soul-destroying as telling a passionate mathematician that they don't need to bother learning complex theorems because a computer could do it. I did two language A-levels (German and Japanese) and went on to do a Japanese degree at university. Despite Japanese being less useful than Spanish in terms of the number of speakers, it has enriched my life in countless ways.

Google has added 53 new languages to AI Mode, which means the AI Mode works in just under 100 languages. This was announced by Nick Fox from Google on X yesterday. Nick Fox said, "Shipping AI Mode to 53 new languages (spoken by more than a billion people globally!)"

Prime Minister Pedro Sanchez pledges to end impunity' of platforms X, Meta and TikTok in promoting harmful content. The Spanish government has ordered prosecutors to investigate social media platforms X, Meta and TikTok for allegedly spreading AI-generated child sexual abuse material, the prime minister has said. These platforms are undermining the mental health, dignity, and rights of our children, Prime Minister Pedro Sanchez posted on his X account on Tuesday. The state cannot allow this. The impunity of these giants must end.

On Wednesday, the Paris-based AI lab released two new speech-to-text models: Voxtral Mini Transcribe V2 and Voxtral Realtime. The former is built to transcribe audio files in large batches and the latter for nearly real-time transcription, within 200 milliseconds; both can translate between 13 languages. Voxtral Realtime is freely available under an open source license.

But tiny 30-person startup Arcee AI disagrees. The company just released a truly and permanently open (Apache license) general-purpose, foundation model called Trinity, and Arcee claims that at 400B parameters, it is among the largest open-source foundation models ever trained and released by a U.S. company. Arcee says Trinity compares to Meta's Llama 4 Maverick 400B, and Z.ai GLM-4.5, a high-performing open-source model from China's Tsinghua University, according to benchmark tests conducted using base models (very little post training).

A major difference between LLMs and LTMs is the type of data they're able to synthesize and use. LLMs use unstructured data-think text, social media posts, emails, etc. LTMs, on the other hand, can extract information or insights from structured data, which could be contained in tables, for instance. Since many enterprises rely on structured data, often contained in spreadsheets, to run their operations, LTMs could have an immediate use case for many organizations.

What happens under the hood? How is the search engine able to take that simple query, look for images in the billions, trillions of images that are available online? How is it able to find this one or similar photos from all that? Usually, there is an embedding model that is doing this work behind the hood.