WOW indeed! Dolphin-2.9.1-yi-1.5-34b is setting new standards in AI performance. Major kudos to @cognitivecompai , @latkins
, @FernandoNetoAi
, @CrusoeCloud, and @OnDemandai for making this possible. Keep up the phenomenal work!
LLMS
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Dolphin-2.9.1-yi-1.5-34b Sets New AI Performance Standards
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Simple Learning Rules Can Produce Sophisticated Emergent Behavior
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I think putting it that way is a fallacy. Simple learning rules can result in sophisticated emergent behavior. If you ask for a joke about a particular person it comes up with a pretty funny joke. Quite witty. It needs to understand high level concepts such as humor for that.
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AI Agents Building Models: Abacus AI Platform Demonstration
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AI Agents can build other AI models.
— Abacus.AI (@abacusai) 13 juin 2024
LLMs can build applied AI systems at scale without supervision. Our platform shows this in action.
We even have a simpler version with our ChatLLM!https://t.co/5QdaueQUqf pic.twitter.com/nN3fSUo2obAI Agents can build other AI models. LLMs can build applied AI systems at scale without supervision. Our platform shows this in action. We even have a simpler version with our ChatLLM! https://
chatllm.abacus.ai -
Anticipation for AI Engineer Conference with Command R Community
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only the beginning! looking forward to have you at http://
ai.engineer! lots of command r fans in the community want to hear directly from you + whats next -
Model V2 Plans and Licensing Discussion for AI Integration
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Hey fofr, we have a cool feature we'd love to plug your model in with @victormustar Do you have plans to release a v2? And how's the v1 licensed btw?
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Keeping up with the pace of new AI model releases
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Me, trying to keep up with all the AI news and test all the newly released models 🤖
— 🚨 AI News | TestingCatalog (@testingcatalog) 13 juin 2024
Feels like it e/acced too much already.
* GPT-4o + Luma Labs pic.twitter.com/sjoib45AakMe, trying to keep up with all the AI news and test all the newly released models Feels like it e/acced too much already. * GPT-4o + Luma Labs
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Open-Source LLM Mixture Outperforms GPT-4o on AlpacaEval
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This is an exciting discovery! The collective intelligence of multiple open-source LLMs outperforms GPT-4o. "Together Mixture-of-Agents" leverages diverse models to achieve 65.1% on AlpacaEval 2.0, surpassing GPT-4o's 57.5%.
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DALL-E and GPT-4o functionality in custom GPTs
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It also claims to be DELL-E still. But now it is at least working for custom GPTs with 4o as well
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Technical discussion on GPT-4o native multimodal image generation
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What has been expected so far is a possibility for 4o to generate images with multimodality and not by talking to DALL-E model as it user to be before. Cuz earlier, 4o was generating a prompt and was passing it to DALL-E
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Chinese LLMs and AI field in China overview
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If you’re interested in Chinese LLMs and otherwise wants to know more about the AI field in China