Every dev in the world right now. @deepseek_ai #DeepSeekR2 pic.twitter.com/8RN4Z4G0Kj
— SambaNova (@SambaNovaAI) 26 février 2025
Every dev in the world right now. @deepseek_ai #DeepSeekR2
LLMS
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DeepSeek R2 Captures Developer Attention Globally
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Supervised vs Reinforcement Learning Fine-tuning for AI
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Supervised fine-tuning teaches AI new skills. Reinforcement learning fine-tuning makes it better at applying them. But which one should you use? Both methods improve models, but they work very differently. Let’s break it down:
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LLMs Becoming as Cheap and Accessible as Five Dollar Uber Rides
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We are in the era of $5 Uber rides anywhere across San Francisco but for LLMs weee
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Computer Use Feature Still in Beta Status
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Ah good catch! Yes computer use is still under a beta flag as well:
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Two New Beta Features Ready for Documentation
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We definitely should add this to our docs! Just two features in beta as of right now: "token-efficient-tools-2025-02-19"
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Hume’s Octave: TTS with Understanding
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Hume released a big Octave upgrade – the first text-to-speech model that understands what it’s saying.
— 🚨 AI News | TestingCatalog (@testingcatalog) 26 février 2025
Some voice samples below 👇 https://t.co/63cpMn8Ymc pic.twitter.com/HV1KxQrcCLHume released a big Octave upgrade – the first text-to-speech model that understands what it’s saying. Some voice samples below
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Perplexity R1 1776: Uncensored DeepSeek R1 Open Source Model
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Perplexity’s R1 1776 is an uncensored version of DeepSeek R1 that tries to be as truthful as possible.
— Aaron Ng (@localghost) 26 février 2025
It might be the most truthful & intelligent open source reasoning model today.
If you don’t have 100GB+ of RAM to run it yourself, try it from your phone with OpenRouter. pic.twitter.com/9w08Pkwl2cPerplexity’s R1 1776 is an uncensored version of DeepSeek R1 that tries to be as truthful as possible. It might be the most truthful & intelligent open source reasoning model today. If you don’t have 100GB+ of RAM to run it yourself, try it from your phone with OpenRouter.
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AI Speech Recognition Systems Achieve Major Understanding Breakthrough
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Will give new meaning to when it says “I’m sorry I didn’t quite catch that”
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Apple’s failure in AI/LLMs despite huge resources and trust
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Still insane to me that Apple completely dropped the ball on all things AI/LLMs. They had a $250B war chest they could have thrown at this, plus the ability to recruit top talent, PLUS everyone has an Apple device, DOUBLE PLUS they’re very well trusted when it comes to data