On the opening disclosure page for all LLMs, language like: “Thanks for using (product name). Our designers use first person pronouns in algorithms to create a sense you’re speaking to a human. However, please remember this is a predetermined response versus an actual human.”
LLMS
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Data Requirements for Fine-Tuning: Fact Check Needed
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Is this for real? How much data will be used for fine-tuning?
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GPT-4 Vision and TTS enable generating sports commentary
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Juste incroyable 😳
— Ludo Salenne (@LudoSLN) 7 novembre 2023
Avec GPT-4 Vision et le Text-to-Speech annoncés hier, on peut générer des commentaires sportifs avec l'IA….
Emmanuel Petit a du soucis à se faire…. 😂#GPT4 #GPT4V #ChatGPT https://t.co/JqyFQLf0NoJust incredible With GPT-4 Vision and Text-to-Speech announced yesterday, we can generate sports commentary with AI…. Emmanuel Petit has reason to worry…. #GPT4 #GPT4V #ChatGPT
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Excitement Over Rapid Development of Advanced GPT Models
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I am totally thrilled to see how fast we get such great GPTs
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Hugging Face enables rapid public release of 34B model
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Thanks to @huggingface speedy response and trusted brand, we were able to take our 34B model public rapidly, credibly, and impactfully!
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Incredible Applications of GPT-4 Emerging Within Hours
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Here are some incredible things people are already doing with GPT-4 It’s been less than 3.5 hours A thread
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AI Evolution: From Fragmented Models to Internet-like Consolidation
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From my perspective, grounded in first principles thinking, the trajectory of AI, particularly generative pre-trained transformers (GPTs), seems to echo the evolutionary path of the internet. At first, we witnessed a proliferation of independent AI models, similar to the early
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GPTs as Nodes in Unified AI Hive Mind Architecture
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Yeah you could be right. But from what I understand Plugins is now GPTs and in the end all of these GPTs will just be nodes in one giant hive mind. We see it happening with the “slow” integration of modalities. The same will happen to GPTs over time. They are doing to
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AI Model Intent Recognition Accuracy Approaching Zero Error
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Yup, this is it. Now I’m waiting for the complaints on when the model gets the intent wrong. But honestly don’t think it will happen. And over time the error rate will get to zero
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Why LLM evaluation requires out-of-distribution tests like left-handed violin
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we judge LLM performance out-of-distribution for the same reasons we only care how well a violinist plays left-handed if you need the bow in your right how do we know you know paganini maybe you memorized youtube