This is why Open Source is important; not just the model, but also the training process and data.
GENERATIVE AI
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Apple’s AI Text Message Summarization Feature Called Anti-Feature
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It is an anti-feature. Somehow it got turned on for my text messages on iOS. Not only did it summarize in wrong and weird ways, but…text messages tend to be short! I don't need a summary of a 5-word message.
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Claude as a Superpower for Writing Disposable Scripts
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By far one of my favorite use cases for Claude is instantly writing disposable one-off scripts to accomplish whatever bespoke task I'm trying to do. Legitimately feels like a superpower for using computers.
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LLM Architecture Becomes Demystified and More Accessible
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Also I feel like LLM architecture is demystified now and we have enough open datasets too. It’s not as high skill bracket as it was a couple of years ago.
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Visual Deconstruction of Biology, Mechanics and Imagination
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COMPOSITES by UNVEIL (@uvlstudios). Generated with Frames.
— Runway (@runwayml) 21 janvier 2025
A visual deconstruction of the biological, mechanical and imaginary. pic.twitter.com/jjj187yL2rCOMPOSITES by UNVEIL (
@uvlstudios
). Generated with Frames. A visual deconstruction of the biological, mechanical and imaginary. -
From Bench to Bot: The Importance of Prompt Engineering
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From bench to bot: How important is prompt engineering?
#AI #AIio #BigData #ML #NLU #Futureofwork @CRudinschi @AntonioSelas @alexjc @RobotLaunch @karpathy @andyjankowski @bobgourley @CadeMetz -
Courage over skill: the missing ingredient in AI development
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again and again we come to the same conclusion that we are in shorter supply of courage than skill
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Using Large Context Windows for AI Automation
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Les fenêtres contextuelles était trop courte à l’époque. Mais avec Gemini et son million de token il y a moyen d’automatiser ça sûrement maintenant oui
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Citations in RAG: Building Trust and Reducing AI Hallucinations
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In the world of AI, trust is key. Citations enhance trust and reduce hallucination risks. They provide a bridge between AI responses and underlying data, adding transparency. At Cohere, we optimize our models for RAG, providing real-time citations. This ensures the most
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Voice AI and RTC capabilities advance in 2025
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2025，大模型能力依然不断提升，Voice AI 会继续在语义理解，延迟，情感，功能和多模态交互等方面得到加强。 回声，噪声，自动增益控制(3A)，稳定性，弱网适应以及多模态实时交互能力上，RTC 依然展现出不可替代的核心优势，且会持续迭代升级。 如果去年大家都觉得 Voice AI 只能做 Call Center