We created SynthID, a robust digital watermarking technology to tag & identify AI-generated content. Now we’re open-sourcing SynthID-Text so developers can use it to embed & detect watermarks in text outputs from their own LLMs. Published today in @Nature https://
nature.com/articles/s4158
6-024-08025-4
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Google Open-Sources SynthID-Text for AI-Generated Content Detection
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Extending Fineweb filtering to 1000+ languages for pretraining
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We want to extend up to 1000+ languages the data-driven filtering approach we used to create the *Fineweb* and *Fineweb-edu* large scale pretraining datasets The first step –which proved surprisingly difficult– was to find reliable high-early-signal evaluations in many languages
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A/B Testing Rigorously in Machine Learning and AI
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A/B Testing Rigorously (without losing your job) https://
bit.ly/3Yhg8Sl #AI #MachineLearning #DeepLearning #LLMs #DataScience -
SambaNova Cloud Achieves Fast Llama 3.2 Inference Performance
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Hit the ground running with fast #AI inference on @AIatMeta
's Llama 3.2! SambaNova Cloud allows #devs to achieve 2470 tokens per sec on 1B and 1566 tokens per sec on 3B Start developing now -
Iterative BC-Max Reduces Binary File Size via ML
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Introducing Iterative BC-Max, a new technique that reduces the size of compiled binary files by optimizing inlining decisions. This approach offers several advantages over standard reinforcement learning algorithms. Read all about BC-Max at: https://
goo.gle/3AcnLjG -
HUGS Live Demo with Philipp Schmid on StreamYard
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@_philschmid demoing HUGS live on https://
streamyard.com/watch/miGsawub
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LangSmith Adds Side-by-Side Trace Comparison with Prompt Highlighting
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no more opening up two LangSmith windows side by side!
— Harrison Chase (@hwchase17) 23 octobre 2024
easily compare traces to see where the differ… including some nice highlighting of prompt differences https://t.co/xSbh7J4k4Wno more opening up two LangSmith windows side by side! easily compare traces to see where the differ… including some nice highlighting of prompt differences
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crewAI Course: Building Advanced Multi-Agent Systems
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New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with @crewAIInc and taught by its founder, @joaomdmoura! (Disclosure: I've made a small seed… pic.twitter.com/ZgZXxSaVta
— Andrew Ng (@AndrewYNg) 23 octobre 2024New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with @crewAIInc and taught by its founder, @joaomdmoura
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LossRider: Visualize ML Training Curves as Line Rider Maps
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GitHub – jndean/LossRider: A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. https://
bit.ly/3Y7BSjs #AI #MachineLearning #DeepLearning #LLMs #DataScience -
PSPDFKit Rebrands to Nutrient, Modernizing Objective-C Namespace
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Proud that my child is still growing and thriving, finally shackling off my Objective-C namespace initials. https://
nutrient.io/blog/pspdfkit-
rebrands-to-nutrient/
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