Topic > Data Labelling
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New CarCast: Do metrics matter? Also, pondering AI strategy and the meaning of life
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How important is explainability? Applying clinical trial principles to AI safety testing
Top 5 data stories of 2023: Microsoft’s play in cloud war, Databricks’ acquisition and more
How LLMs made their way into the modern data stack in 2023
Tenyx aims to fix LLMs’ catastrophic forgetting problem
Google DeepMind breaks new ground with ‘Mirasol3B’ for advanced video analysis
Running thousands of LLMs on one GPU is now possible with S-LoRA
Why developer productivity isn’t all about tooling and AI
DeepInfra emerges from stealth with $8M to make running AI inferences more affordable
Cohere launches Embed V3 for enterprise LLM applications
EY report sheds new light on global AI regulatory landscape
How can AI better understand humans? Simple: by asking us questions
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Exploring the role of labeled data in machine learning
Cranium raises $25M to fund enterprise AI monitoring, security, and compliance platform
HumanSignal launches Adala open source framework for autonomous data labeling agents
Microsoft’s AI strategy is paying off with solid cloud revenue growth
VB Spotlight
The crucial link between data, use cases and training models
Open Source lakeFS data version control levels up to 1.0
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How to police the AI data feed
How moving AI to the edge can help solve the data center energy crisis
Amazon partners with Israeli startup UVeye on AI inspections of delivery vans
ScyllaDB raises $43M to boost next generation of NoSQL database scalability
Uh-oh! Fine-tuning LLMs compromises their safety, study finds
NuEnergy.ai secures a patent on its framework for responsible AI governance
Armilla offers verification and warranties for enterprises using AI models
Enterprise-focused AI startup Cohere launches demo chatbot Coral and Chat API
Sam Altman-backed Slope raises $30M for AI-powered B2B payments platform
VB Spotlight