TensorOps @tensoropsai

Developers of LLMstudio 🤖 ⦾ Truly open source LLM IDE ⦾ AI consulting company ⦾ https://t.co/yMBDQSNOfb 👾 tensorops.ai Europe Joined March 2023

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TensorOps @tensoropsai

2 weeks ago

This is becoming VERY cool. Anthropic now has a model that's fine-tuned to operate any desktop computer! Watch how it searches online for details.

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𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿-𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝘀 are shaping the future of AI for Operations: but they’re often slow, costly, and need human oversight. Discover the three pillars of successful AI-operated computers in this fascinating talk by our CTO, @gadbenram

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TensorOps @tensoropsai

a month ago

Claude AI DEFEATS OpenAI in a Deathmatch?! 🤯 We gave both models one epic challenge: build a self-improving AI agent to eliminate its rival in a spaceship combat game. The AI that could learn and adapt faster would win. #AI #Claude #OpenAI #AIBattle #Programming #Tech #AGI

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TensorOps @tensoropsai

8 months ago

Gemini 2.0 is redefining how companies should approach AI products—not just iterative chat with AI, but a continuous stream of multimodal data. Check out the demo—it’s amazing! youtu.be/3247Qd2Ags4?fe…

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TensorOps @tensoropsai

8 months ago

Exciting News! 🚨 📷We’re thrilled to announce that Jeff Dahan, @googlecloud Partner Engineer specializing in Data & AI and will be joining @gadbenram from @GoogleDevExpert & @googlecloudInnovator for our webinar this Wednesday! Register now: lnkd.in/d_b3e88K

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TensorOps @tensoropsai

9 months ago

Explore advanced retrieval layers, agent runtimes, dynamic prompt management, model operations, and much more. 📅 Jan 8th @ 1pm EST. Register now: lnkd.in/d_b3e88K

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Gad Benram @gadbenram

9 months ago

Although RAG is not dead, it is definitely no longer the focus of LLM application architectures. How do I think the cloud stack, tools, and architecture for LLM applications should look in 2025? In general, if I look at the applications that survived the PoC stages and reached…

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TensorOps @tensoropsai

9 months ago

In his latest blog post, Miguel Neves introduces Contextual Retrieval - a technique that enriches data chunks with specific context, like timeframes or entities, before retrieval. The result? Output precision improves by up to 67% 🚀 lnkd.in/db89ivKi

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TensorOps @tensoropsai

10 months ago

We were honored to present to the @awscloud South Europe Team how TensorOps scales AI 🤖 workloads and delivers value for customers. It was inspiring to connect with such a talented team as they made the most of #WebSummit week to visit Lisbon for a refresher. #GenAI

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TensorOps @tensoropsai

10 months ago

Shoutout to all the amazing mentors and lecturers who will be part of our upcoming AgentCraft Hackathon in conjunction with @LangChainAI And the prize pool just got bigger - now totaling $26,000! 💰 Join us and the 700+ crafters >> tensorops.ai/aiagentsonline…

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TensorOps @tensoropsai

10 months ago

The industry is moving toward smaller, more efficient models, and @nvidia 's latest paper on the Minitron Approach showcases precisely how to achieve this balance. Here’s what stands out: linkedin.com/pulse/optimizi…