Excellent conversation with #NickFrosst of #Cohere, here in Canada

https://www.youtube.com/watch?v=JqGAQMYwuzQ

Is Cohere the Next AI Powerhouse? | First Time Founders with Ed Elson

YouTube

Sebastian Raschka (@rasbt)

Cohere๊ฐ€ Tiny Aya์˜ ๊ธฐ์ˆ ๋ณด๊ณ ์„œ(์•ฝ 50ํŽ˜์ด์ง€)๋ฅผ GitHub์— ๊ณต๊ฐœํ–ˆ๋‹ค๋Š” ์•ˆ๋‚ด์™€ ๊ฐ์‚ฌ ์ธ์‚ฌ. ํŠธ์œ—์€ ํ•ด๋‹น ๋ฆฌํฌํŠธ ๋งํฌ๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, Tiny Aya ๊ด€๋ จ ์ƒ์„ธ ๊ธฐ์ˆ ๋ฌธ์„œ๊ฐ€ ๊ณต๊ฐœ๋˜์–ด ์žˆ์Œ์„ ์•Œ๋ฆผ.

https://x.com/rasbt/status/2024618451608678579

#cohere #tinyaya #techreport #github #llm

Sebastian Raschka (@rasbt) on X

And here's their technical report https://t.co/WJfrUpue3K Kudos to @cohere for sharing such a detailed 50-pager

X (formerly Twitter)
#Cohere has launched #TinyAya, a family of open #multilingual #AImodels supporting over 70 languages, designed to run offline on everyday devices like laptops. The models were unveiled at India's AI summit and can handle South Asian languages including Hindi, Bengali, and Tamil. https://techcrunch.com/2026/02/17/cohere-launches-a-family-of-open-multilingual-models/?AIagents.at #AIagent #AI #ML #NLP #LLM #GenAI
Cohere launches a family of open multilingual models | TechCrunch

Cohere's Tiny Aya models support over 70 langauges

TechCrunch
Cohere vara una comunidad de modelos multilingรผes abiertos โ€“ ButterWord

Cohere's Tiny Aya models support over 70 langauges

ButterWord

Nick (@NickPlaysCrypto)

ํŠธ์œ—์€ $MOFLOW ๊ฐœ๋ฐœ์ž๊ฐ€ Cohere์—์„œ ํ’€์Šคํƒ์„ ๋‹ด๋‹นํ•˜๊ณ  ์žˆ์œผ๋ฉฐ Cohere์˜ ๊ธฐ์—… ๊ฐ€์น˜๊ฐ€ 70์–ต ๋‹ฌ๋Ÿฌ์— ๋‹ฌํ•˜๊ณ  NVIDIA์™€ AMD๊ฐ€ ์ „๋žต์  ํˆฌ์ž์ž๋ผ๋Š” ๋‚ด์šฉ์„ ์ „ํ•ฉ๋‹ˆ๋‹ค. ํˆฌ์ž์™€ ์ธ๋ ฅ ๊ด€๋ จ ๋‰ด์Šค๋กœ AI ์ƒํƒœ๊ณ„์˜ ์ž๊ธˆยทํŒŒํŠธ๋„ˆ์‹ญ ๋™ํ–ฅ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

https://x.com/NickPlaysCrypto/status/2019083605297816056

#cohere #nvidia #amd #funding #aistartups

Nick (@NickPlaysCrypto) on X

Dev of $MOFLOW is fullstack for @cohere valued at 7b with @nvidia and @AMD as strategic investors

X (formerly Twitter)

AI is a tool, and its output is a reflection of its user.

Used well, it sharpens human thinking and expands potential.

Used poorly, it automates confusion and risk at scale.

And, all LLMs are vulnerable to prompt-injection.

#AI #LLM #PromptInjection #CyberSecurity #ArtificialIntelligence #MachineLearning #GPT #OpenAI #DataSecurity #ChatGPT #Privacy #Security #Claude #Gemini #Llama #Copilot #Anthropic #GoogleAI #MetaAI #Microsoft #MistralAI #xAI #Cohere #AISafety #AISecurity #Tech #Technology

Paul Couvert (@itsPaulAi)

๋Œ€์‹œ๋ณด๋“œ์—์„œ ๋ช‡ ๋ถ„ ๋งŒ์— ์„ค์ • ๊ฐ€๋Šฅํ•˜๋‹ค๋Š” ์•ˆ๋‚ด: ๊ณ„์ • ์ƒ์„ฑ, Cohere ๋ชจ๋ธ ์„ ํƒ, ํ™•์žฅ ํ•œ๋„ ์„ค์ •์œผ๋กœ ์™„๋ฃŒ. ์ตœ์‹  Cohere ๋ชจ๋ธ(Command, Embed, Rerank)์„ ์ง€์›ํ•˜๋ฉฐ North์™€์˜ ํ†ตํ•ฉ์„ ์ œ๊ณตํ•œ๋‹ค๊ณ  ๋ช…์‹œ๋˜์–ด ๊ฐœ๋ฐœยท๋ฐฐํฌ ํŽธ์˜์„ฑ ๊ฐ•์กฐ.

https://x.com/itsPaulAi/status/2016513534759489817

#cohere #command #embed #rerank #north

Paul Couvert (@itsPaulAi) on X

Setup takes minutes in the dashboard: 1. Create your account here: https://t.co/qTRe1Jckmo 2. Pick your Cohere models 3. Set scaling limits Done. Supports all latest Cohere models (Command, Embed, Rerank) and integrates seamlessly with North. (Thanks @cohere for the

X (formerly Twitter)

Paul Couvert (@itsPaulAi)

Model Vault๊ฐ€ ํผ๋ธ”๋ฆญ API(์‰ฌ์›€ยท๋ถˆ์•ˆ์ •ํ•œ ์ง€์—ฐยท๋ ˆ์ดํŠธ ์ œํ•œ)์™€ ์…€ํ”„ํ˜ธ์ŠคํŒ…(๋น„์šฉยท๋ณต์žก์„ฑ)์˜ ํŠธ๋ ˆ์ด๋“œ์˜คํ”„๋ฅผ ํ•ด์†Œํ•œ๋‹ค๊ณ  ์ฃผ์žฅ. ๋ฒ„์Šคํ‹ฐํ•œ ์—์ด์ „ํŠธ ์›Œํฌ๋กœ๋“œ์— ๋Œ€ํ•œ ํƒ„๋ ฅ์  ํ™•์žฅ๊ณผ 99.9%+ ๊ฐ€์šฉ์„ฑ ์ œ๊ณต ๋“ฑ ์ธํ”„๋ผ ์ธก๋ฉด์˜ ์žฅ์ ์„ ๊ฐ•์กฐ.

https://x.com/itsPaulAi/status/2016513453863981214

#cohere #modelvault #scaling #infrastructure

Paul Couvert (@itsPaulAi) on X

Thatโ€™s really good because we currently have a tradeoff: Public APIs = easy but unpredictable latency + rate limits Self-hosting = total control but insane cost and complexity Model Vault kills that tradeoff, you get: - Elastic scaling for bursty agentic workloads - 99.9%+

X (formerly Twitter)

Paul Couvert (@itsPaulAi)

Cohere์˜ Model Vault๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž๊ฐ€ ์ž์‹ ์˜ ๊ธฐ๊ธฐ๋ฅผ ๊ด€๋ฆฌํ•˜์ง€ ์•Š์•„๋„ AI ํ”„๋ผ์ด๋ฒ„์‹œ๋ฅผ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜์—ˆ๋‹ค๋Š” ๋ฐœํ‘œ. ์™„์ „ ๊ฒฉ๋ฆฌ ํ™˜๊ฒฝ ์ œ๊ณต(๋‹จ์ผ ํ…Œ๋„Œ์‹œ, ๊ณต์œ  ๋ฐ์ดํ„ฐ/GPU ์—†์Œ)๊ณผ ์‚ฌ์šฉ์ž ์ธํ”„๋ผ ๋ถˆํ•„์š”๋กœ ์‚ฌ์‹ค์ƒ ๋ฌด์ œํ•œ ํ™•์žฅ์ด ๊ฐ€๋Šฅํ•˜๋‹ค๊ณ  ์„ค๋ช….

https://x.com/itsPaulAi/status/2016513328265494693

#cohere #modelvault #aiprivacy #singletenancy

Paul Couvert (@itsPaulAi) on X

So you can finally get AI privacy without managing your own machine You can create a fully isolated environment for your AI using Model Vault from Cohere that is: - Single-tenancy (no shared data or GPUs) - Effectively unbounded scaling w/ no user-managed infrastructure -

X (formerly Twitter)

๐ŸŽฏ Zero accuracy loss - preserves what matters: errors, anomalies, high-scoring items & query-relevant content using BM25/embedding similarity

โœ… Full provider support: #OpenAI, #Anthropic, #Google, #Cohere, #Mistral & #LiteLLM with exact token counting

๐Ÿ“ˆ Performance: Search results (1000 items) 45Kโ†’4.5K tokens (90%), Log analysis 22Kโ†’3.3K tokens (85%), API responses 15Kโ†’2.25K tokens (85%)