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

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

Sebastian Raschka (@rasbt)
Cohere๊ฐ Tiny Aya์ ๊ธฐ์ ๋ณด๊ณ ์(์ฝ 50ํ์ด์ง)๋ฅผ GitHub์ ๊ณต๊ฐํ๋ค๋ ์๋ด์ ๊ฐ์ฌ ์ธ์ฌ. ํธ์์ ํด๋น ๋ฆฌํฌํธ ๋งํฌ๋ฅผ ์ ๊ณตํ๋ฉฐ, Tiny Aya ๊ด๋ จ ์์ธ ๊ธฐ์ ๋ฌธ์๊ฐ ๊ณต๊ฐ๋์ด ์์์ ์๋ฆผ.
Nick (@NickPlaysCrypto)
ํธ์์ $MOFLOW ๊ฐ๋ฐ์๊ฐ Cohere์์ ํ์คํ์ ๋ด๋นํ๊ณ ์์ผ๋ฉฐ Cohere์ ๊ธฐ์ ๊ฐ์น๊ฐ 70์ต ๋ฌ๋ฌ์ ๋ฌํ๊ณ NVIDIA์ AMD๊ฐ ์ ๋ต์ ํฌ์์๋ผ๋ ๋ด์ฉ์ ์ ํฉ๋๋ค. ํฌ์์ ์ธ๋ ฅ ๊ด๋ จ ๋ด์ค๋ก AI ์ํ๊ณ์ ์๊ธยทํํธ๋์ญ ๋ํฅ์ ๋ณด์ฌ์ค๋๋ค.
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)
๋์๋ณด๋์์ ๋ช ๋ถ ๋ง์ ์ค์ ๊ฐ๋ฅํ๋ค๋ ์๋ด: ๊ณ์ ์์ฑ, Cohere ๋ชจ๋ธ ์ ํ, ํ์ฅ ํ๋ ์ค์ ์ผ๋ก ์๋ฃ. ์ต์ Cohere ๋ชจ๋ธ(Command, Embed, Rerank)์ ์ง์ํ๋ฉฐ North์์ ํตํฉ์ ์ ๊ณตํ๋ค๊ณ ๋ช ์๋์ด ๊ฐ๋ฐยท๋ฐฐํฌ ํธ์์ฑ ๊ฐ์กฐ.

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
Paul Couvert (@itsPaulAi)
Model Vault๊ฐ ํผ๋ธ๋ฆญ API(์ฌ์ยท๋ถ์์ ํ ์ง์ฐยท๋ ์ดํธ ์ ํ)์ ์ ํํธ์คํ (๋น์ฉยท๋ณต์ก์ฑ)์ ํธ๋ ์ด๋์คํ๋ฅผ ํด์ํ๋ค๊ณ ์ฃผ์ฅ. ๋ฒ์คํฐํ ์์ด์ ํธ ์ํฌ๋ก๋์ ๋ํ ํ๋ ฅ์ ํ์ฅ๊ณผ 99.9%+ ๊ฐ์ฉ์ฑ ์ ๊ณต ๋ฑ ์ธํ๋ผ ์ธก๋ฉด์ ์ฅ์ ์ ๊ฐ์กฐ.

Thatโs 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%+
Paul Couvert (@itsPaulAi)
Cohere์ Model Vault๋ฅผ ํตํด ์ฌ์ฉ์๊ฐ ์์ ์ ๊ธฐ๊ธฐ๋ฅผ ๊ด๋ฆฌํ์ง ์์๋ AI ํ๋ผ์ด๋ฒ์๋ฅผ ํ๋ณดํ ์ ์๊ฒ ๋์๋ค๋ ๋ฐํ. ์์ ๊ฒฉ๋ฆฌ ํ๊ฒฝ ์ ๊ณต(๋จ์ผ ํ ๋์, ๊ณต์ ๋ฐ์ดํฐ/GPU ์์)๊ณผ ์ฌ์ฉ์ ์ธํ๋ผ ๋ถํ์๋ก ์ฌ์ค์ ๋ฌด์ ํ ํ์ฅ์ด ๊ฐ๋ฅํ๋ค๊ณ ์ค๋ช .

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 -
๐ฏ Zero accuracy loss - preserves what matters: errors, anomalies, high-scoring items & query-relevant content using BM25/embedding similarity
โ Full provider support: #OpenAI, #Anthropic, #Google, #Cohere, #Mistral & #LiteLLM with exact token counting
๐ Performance: Search results (1000 items) 45Kโ4.5K tokens (90%), Log analysis 22Kโ3.3K tokens (85%), API responses 15Kโ2.25K tokens (85%)