2) On ChatGPT Search "Help me plan a road trip along the Amalfi coast"https://t.co/xz2JQjb1QV
— Kai-Fu Lee (@kaifulee) 3 novembre 2024
2) On ChatGPT Search "Help me plan a road trip along the Amalfi coast"
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2) On ChatGPT Search "Help me plan a road trip along the Amalfi coast"https://t.co/xz2JQjb1QV
— Kai-Fu Lee (@kaifulee) 3 novembre 2024
2) On ChatGPT Search "Help me plan a road trip along the Amalfi coast"
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New Amazon Alexa delayed. While the big tech companies like OpenAI, Anthropic, Microsoft and others are fighting the big battle for the best chatbot, Amazon is still lagging behind. This is irritating, since Amazon was actually one of the first to conquer the market with Alexa!
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Completely agree – one of the benefits of using the LangGraph + LangSmith ecosystem
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New from @UW and @GoogleDeepMind
: Model Swarms, a collaborative search algorithm that adapts LLM experts to single task, multi-task domains, and reward models via swarm intelligence. Talk to the team @ZifengWang315 @chl260 @YejinChoinka @tsvetshop here! https://
alphaxiv.org/abs/2410.11163
v1
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You're right, but 1) I'm sure OpenAI has better agents and 2) they are getting much better very quickly.
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Sure, it still needs help, but when we consider how well CoT is already working, it's a short leap to self-improving models. We have already successfully achieved 95%.
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Building with Agent: Gamifying Hex Codes https://
x.com/i/broadcasts/1
BRJjwylVyVxw
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Do you still use GPT's? If yes: self-created or prefabricated? And for what purpose? I have built several and I am still convinced that due to the configuration they give better results than just opening a new chat. I have: – a doctor GPT who I consult for medical issues
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NVIDIA GEAR lab is breaking new ground. With just 1.5M parameters, HOVER proves that mastering complex motor skills doesn’t require huge models. Using NVIDIA simulation suite, which accelerates physics by 10,000x, humanoids can learn a year’s worth of motion in under an hour. pic.twitter.com/LjWJhw0Fpl
— Chubby♨️ (@kimmonismus) 1 novembre 2024
NVIDIA GEAR lab is breaking new ground. With just 1.5M parameters, HOVER proves that mastering complex motor skills doesn’t require huge models. Using NVIDIA simulation suite, which accelerates physics by 10,000x, humanoids can learn a year’s worth of motion in under an hour.
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„Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations.“ Dr. Jim Fan pic.twitter.com/MmfmCx9ALx
— Chubby♨️ (@kimmonismus) 1 novembre 2024
„Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations.“ Dr. Jim Fan