The hype of “God like AI” & AGI from GPT-4 & AutoGPT fades into reality. AGI is still sometime away & GPT-5 is unlikely to achieve AGI although there will be massive social media hype again with product promotion. The key is to step back and test it oneself and look at what
@deeplearn007
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Large Language Models: Transformers and Self-Attention Explained
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LLM is short for Large Language Model, which is a fairly recent innovation in #AI @ShawhinT They apply Transformers with Self-Attention, a technique pioneered by Google AI researchers with a paper entitled Attention is all you need in 2017. Thereafter, GPT-3 illustrated the
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Can Generative AI Legally Hold Patent Rights?
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The debate on AI, in this case Generative AI, being capable of invention in legal terms in particular the stents continues. I remain skeptical that the AI itself should be awarded patent rights as the AI model is not a legal person and we then get into issues about permission to
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Fine-tuning Open-Source LLMs: Advanced Techniques and Best Practices
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Awesome on fine-tuning open-source LLMs #AI
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AI Ethics Experts Lack Technical Understanding Says Critic
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I believe in ethical standards but @pierrepinna unfortunately there some of the “AI ethics experts” who don’t understand the underlying tech nor understand the role and nature of data.
— AI (@DeepLearn007) 12 juillet 2023
This has ranged over the years from some AI ethics experts making calls and demands on the… https://t.co/spWWuSh4YFI believe in ethical standards but @pierrepinna unfortunately there some of the “AI ethics experts” who don’t understand the underlying tech nor understand the role and nature of data. This has ranged over the years from some AI ethics experts making calls and demands on the
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AI Progress Debate: Between Skepticism and Existential Risk
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One can never win, some say too slowly and AI is not yet intelligent or capable enough whilst others hyperventilate that AI is about to achieve super-intelligence & replace humans. A bit like modern politics
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AI Cost Reduction and Neuromorphic Computing Revolution
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Ultimately the costs have to come down in order to truly scale advanced AI, besides the supercomputers of today will become redundant over time as neuromorphic computing & quantum neuromorphic computing emerge in production environments.
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Quantum Computing: Commercial Scale Expected in 2030s
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Quantum Computing will continue to achieve hyped headlines with research breakthroughs but don’t expect quantum computing at mass commercial scale until sometime in the 2030s. http://
mckinsey.com/featured-insig… For now it is a national security race as China vs the US as whomever gets -
Mathematicians and AI Collaboration Achieving Surprising Results
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Instead of #AI replacing mathematicians this decade, we are likely to experience collaboration between the fields of mathematics and artificial intelligence that can achieve surprising results by leveraging the respective strengths of mathematicians and #machinelearning.
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Synthetic Data Enhances Healthcare Privacy and Quality
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@quaesita Good quality synthetic data has vast potential in healthcare and also across digital media with enhanced data privacy a result.