If you want to keep scaling up on the API, pls check out the rate limit increase page and request a higher tier: https://
ai.google.dev/gemini-api/doc
s/rate-limits
… New Google customers can also get $300 in free API credits if you sign up for a paid account.
TOOLS
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Google Gemini API Rate Limits and Free Credits for New Customers
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LangChain Interrupt Event Day 1 Begins with Agent Workshops
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Day 1 of LangChain Interrupt is blasting off ! It's a beautiful sunny day in SF – perfect for a day of workshops covering everything you need to build reliable agents! If you weren't able to make it, we'll be live-tweeting. Follow us to stay "in the loop"! #interrupt2025
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Open-Source AI Image Editor ‘IceEdit’ Runs Locally and for Free
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Une IA open source qui modifie les images mieux que Gemini ou GPT-4o ?
— VISION IA (@vision_ia) 13 mai 2025
IceEdit transforme n’importe quelle photo avec un simple prompt. Suppression d’objets, changement de style, d’éclairage, d’expressions… en 10 secondes.
Le plus fou ? Ça tourne en local. Gratuitement.… pic.twitter.com/WR2E5jObqLAn open-source AI that edits images better than Gemini or GPT-4o? IceEdit transforms any photo with a simple prompt. Object removal, style changes, lighting, expressions… in 10 seconds. The craziest part? It runs locally. For free. Explanations:
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Authenticator App Absurd Login Method Satire
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please put your Authenticator app against your forehead and run around the block three times to log in
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CausVid Generates Playful Colorful AI Videos
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CausVid can also generate videos on the more playful & colorful side. pic.twitter.com/QL7VgwhQn0
— MIT CSAIL (@MIT_CSAIL) 13 mai 2025CausVid can also generate videos on the more playful & colorful side.
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Transform Documents into High-Quality Synthetic Datasets with Llama
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Turn any document into a high-quality synthetic dataset using Llama! Unsloth AI and Meta released a free notebook that transforms your documents into high-quality synthetic datasets, and then finetuning them using Llama. 100% Open Source
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Integrate Gen-4 References into Creative Production Workflows
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Learn how to integrate Gen-4 References into your creative processes and production pipelines with a live demo, hosted by @notiansans on Thursday May 22nd. We’ll walk through various pre- and post-production workflows, Enterprise benefits and host a brief Q&A.
— Runway (@runwayml) 13 mai 2025
Register at the… pic.twitter.com/k4cLdTqND4Learn how to integrate Gen-4 References into your creative processes and production pipelines with a live demo, hosted by @notiansans on Thursday May 22nd. We’ll walk through various pre- and post-production workflows, Enterprise benefits and host a brief Q&A. Register at the
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Building and Improving RAG Pipelines: From PoC to Production
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Over the past 2 years, we’ve (
@towards_AI
) helped teams create, iterate and improve RAG pipelines, slash hallucination rates, build PoCs, and get LLM demos into production. At some point, we got tired of repeating the same advice on calls, Slack threads, and conference stages—so -
Topaz Video Image Upscaling Models Cost Reduction
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We listened to your feedback and we've reduced the cost of the Topaz video and image upscaling models.
— Replicate (@replicate) 13 mai 2025
The costs are now determined by your inputs and outputs, so it's cheaper to upscale to lower resolutions or slower frame rates.https://t.co/LDuZNhMbQv pic.twitter.com/AeWptQPcPGWe listened to your feedback and we've reduced the cost of the Topaz video and image upscaling models. The costs are now determined by your inputs and outputs, so it's cheaper to upscale to lower resolutions or slower frame rates. https://
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AI-Powered Real-Time Video Conferencing Demo on MacBook M3
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Bientôt vos reunions ZOOM seront… particulières…
— VISION IA (@vision_ia) 13 mai 2025
Démo en temps réel avec webcam utilisant huggingface, SmolVLM et ggml_org via un serveur llama.cpp.
Tout tourne en local sur un MacBook M3.
Maintenant imaginer remplacer la personne par un avatar ultra précis. C'est l'étape… pic.twitter.com/Y2uCsEnVhWBientôt vos reunions ZOOM seront… particulières… Démo en temps réel avec webcam utilisant huggingface, SmolVLM et ggml_org via un serveur llama.cpp. Tout tourne en local sur un MacBook M3. Maintenant imaginer remplacer la personne par un avatar ultra précis. C'est l'étape