The year is 2030, and AGI has just been created. You are lucky to be the first to make one wish. What do you ask for, and how do you make sure things don't go horribly wrong?
RESEARCH
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AI Discussion Series: Questions and Answers from Community
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There's so much to explore and debate about AI, and I want to hear from you all. Starting today, I'll be posting a series of questions on various AI topics. Some fun, some serious. At the end, I'll put a thread together with all of the questions and answers.
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TensorFlow Usage Exceeds PyTorch by 1.5x According to Metrics
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Every metric (downloads, StackOverflow, GCP usage, etc.) + large-scale user surveys (the SO survey, the Kaggle survey) shows TF/Keras usage is >1.5x that of PT. Just saying. LeCun loves to send press releases to journalists saying "TF is dead!" but that doesn't make it true.
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Keras Reaches 2.5 Million Users After 8 Years of Growth
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Kind of insane that I've been working on Keras for nearly 8 years and it's still growing at ~30% per year. Never thought it would ever get to 1M users, much less the ~2.5M users we have currently (and growing)
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Gut Microbiota Could Prevent Alzheimer’s Disease Progression
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"These exciting results highlight the potential to harness the gut microbiota to prevent or slow the progression of AD and other tauopathies and raise awareness about the potential long-term effects of early-life diet" https://
science.org/doi/10.1126/sc
ience.adf9548
… @Tan_ee_Ya @YuemingLiLab -
Fine-tuning diverse high-quality data for better AI generalization
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5. Finetune Finetune with diverse, high-quality, and task-specific to help the model generalize better and avoid hallucination.
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External Filters Add Constraints to Improve AI Text Generation
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4. External Filters Add specific constraints or thresholds on generated text to filter out the unrealistic or non-sensical generated output.
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Smaller Models Reduce AI Hallucination Tendencies
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2. Use a smaller model The size of the model is directly proportional to its ability to remember and generate realistic text but it also increases the tendency to hallucinate. Try using a smaller model that is better suited to the task at hand to avoid model hallucination.
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Provide More Context to Reduce AI Model Hallucination
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1. Provide more context When providing input to the model, try to include as much context as possible. This will help the model understand the task better and reduce the likelihood of hallucination.
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Google vs OpenAI: Every Argument Dissected and Analyzed
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Every Google vs OpenAI Argument, Dissected Let's make you CEO of Google. Would you order the Code Red against @OpenAI
? https://
lspace.swyx.io/p/google-vs-op
enai
… Here's the ultimate summary of all the facts. You decide!