How to Build a Multimodal AI Knowledge Base With Gemini Embedding 2 https://
madebyagents.com/blog/build-mul
timodal-rag-gemini-embedding-2?utm_source=dlvr.it&utm_medium=twitter
… #ArtificialIntelligence #MachineLearning #DataScience #AIStrategy #DigitalTransformation #GenerativeAI #technology #ChiefDataOfficer
AGENTS
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Build Multimodal AI Knowledge Base with Gemini Embedding 2
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Leni: AI that automates real estate analysis for investors
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Los inversores inmobiliarios llevan años esperando una IA que entienda su trabajo.
— Nico (@nicos_ai) 3 juin 2026
Con Leni:
→ Underwriting de activos en minutos
→ Memos de inversión listos para presentar
→ Reportes para LPs sin trabajo manual
→ Revisión de contratos con riesgos identificados
Todo con… https://t.co/h4BvBcGOumReal estate investors have been waiting for years for an AI that understands their work. With Leni:
→ Asset valuation in minutes
→ Investment memos ready to present
→ Reports for LPs without manual work
→ Contract review with -
How to get started with SEO Agent on Replit
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Here's how to get started with SEO Agent: – Open your app's new Growth dashboard under Tools.
– Click "Run scan with Agent" to audit your site for crawlability, indexing and more
– Apply fixes with Agent, then republish
– Once you've republished your app, see your SEO rating -
BabyAGI diagram praised, meta path leads to ActiveGraph
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yeah this 2023 babyagi diagram was on point 🙂 thx! seems like if you keep going meta, you'll end up with something like activegraph, lots of ppl seem to have been circling similar ideas
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NVIDIA’s Jensen Huang details enterprise agent stack and toolkit
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Agents need more than a model.
— NVIDIA (@nvidia) 3 juin 2026
Jensen Huang breaks down the enterprise agent stack: models, orchestration, tools with skills, and a secure runtime to hold it all together.
This is the NVIDIA toolkit for agents: https://t.co/j6KJhOwZ5B pic.twitter.com/XdWSaTS59KAgents need more than a model. Jensen Huang breaks down the enterprise agent stack: models, orchestration, tools with skills, and a secure runtime to hold it all together. This is the NVIDIA toolkit for agents: https://
nvda.ws/4em0o8l -
OpenShell v0.0.55 adds Vertex AI support and policy visibility
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OpenShell v0.0.55 Google Vertex AI inference provider Profile-backed policy visibility Better Podman detection in the gateway Restored GPU procfs baseline behavior CI and docs fixes Run agents against Vertex AI, with improved policy visibility and more
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Zeely: Emotionally adaptive AI experience launching in 2 days
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Emotionless AI is getting left behind.
— God of Prompt (@godofprompt) 3 juin 2026
The next wave won’t just answer prompts, it’ll read tone, adapt emotionally, and make every interaction feel alive.
Zeely is turning AI from “tool” into “experience.”
Drops in 2 days. Don’t blink. https://t.co/rROFrY1ebLEmotionless AI is getting left behind. The next wave won’t just answer prompts, it’ll read tone, adapt emotionally, and make every interaction feel alive. Zeely is turning AI from “tool” into “experience.” Drops in 2 days. Don’t blink.
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SambaNova post about Intel’s rack-scale agentic AI design
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Agentic AI needs CPUs, GPUs, and AI accelerators working together. @TheRegister highlights @intel
's new rack-scale agentic AI designs and the first customer deployment of the Intel + SambaNova disaggregated inference blueprint through VC2. The result: GPUs handle prefill, -
Develop Physical AI Reasoning, World, and Action Models with NVIDIA
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Develop Physical AI Reasoning, World, and Action Models with NVIDIA! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux
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Microsoft’s SkillOpt: Text-Space Optimization for Frozen Agent
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SkillOpt: Microsoft's Announces Text-Space Optimization for Frozen Agent! #BigData #Analytics #DataScience #AI #MachineLearning #NLProc #LLM #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux