Iteration is key to AI success! Learn how continuous refinement can transform your AI projects in our latest #AIToday podcast. Listen here: https://
cognilytica.com/what-iteration
-really-means-with-ai-ai-today-podcast/?utm_source=dlvr.it&utm_medium=twitter
… #ArtificialIntelligence #Podcast
RESEARCH
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Iteration Key to AI Success: Continuous Refinement Guide
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AI’s Impact on Education and Teaching Best Practices
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Congrats! AI is going to have a huge impact on education & I know it's something you're passionate about (seeing how you organized cs231n years ago when I gave a guest lecture it was clear you put lots of thought into the best way to teach people different kinds of material)
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Model Architectures Discussion on Latent Space Podcast
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I also went on a podcast recently @latentspacepod with @swyx and talked about a bunch of stuff related to model architectures. Check it out here:
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Model Architecture Deep Dive: Encoders and Prefix Language Models
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Blogpost link: https://
yitay.net/blog/model-arc
hitecture-blogpost-encoders-prefixlm-denoising
… Im gonna write a part 2 and beyond on other topics. I'm interested to know what people find interesting or are dying to know more about. -
Model Architectures in the LLM Era: Transformers and Beyond
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Decided to start a new blog series about model architectures in the era of LLMs. Here's part 1 on broader architectures like Transformer Encoders/Encoder-Decoders, PrefixLM and denoising objectives. A frequently asked question: "The people who worked on language and NLP
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Internet’s Future: Perez, Schumpeter, Christensen, and Dixon’s Vision
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The internet that can be, unburdened by what has been. OR, what Perez, Schumpeter, Christensen, and Dixon suggest might be next for the internet.
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Neural Scaling Laws Workshop Features Meta’s Multilingual Language Model Advances
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Less than 1 week until the 7th workshop on Neural Scaling Laws at ICML 2024 Tatiana Shavrina, PhD, Research Scientist Manager at Meta, will present on the latest advancements and limitations in multilingual language models, highlighting the significant milestones in machine
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Dissecting LLM failures to understand their causes
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I don’t post LLM failures (like the one below) because I think LLMs are bad or even overhyped; I do it because: 1) I think dissecting concrete LLM failures to understand their causes is a tragically underused approach to fixing them 2) previously well known issues in LLMs (e.g.
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Mistral Releases Mathstral 7B for Scientific Problem Solving
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NUEVO MODELO MATHSTRAL 7B! Un Mistral entrenado para la mejor resolución de problemas científicos y matemáticos. Disponible para descargar y jugar con él 🙂
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PETS conference venue search leads to amusing misunderstanding at university
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I was looking for the conference venue so I told someone at university "I'm looking for PETS" and they rubbed my head wtf?