You are both correct; the neurons need to be kind to each other (to keep everyone motivated to play their best game), while also rewarding and transmitting the most useful content
RESEARCH
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Recognizing and Rewarding User Interaction Systems
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The intention is to recognize, reward and encourage interaction
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Nvidia GTC 2024 Conference Announcements and AI Technology Insights
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About to hop on a plane up to San Jose for GTC 2024. This is Nvidia's annual conference where they make exciting announcements and teach us how their tech works and how we can best leverage it. It may be tough to get yourself out there at this point but they do have a FREE
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Semantic Clarity and Shared Interpretation in AI Communication
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A statement is only meaningful to the degree to which the audience is not free to overload it with arbitrary interpretations and can arrive at a shared interpretation of whay has been said. “Situated in life” is so unprecise that it does not capture much meaning
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Wittgenstein’s Philosophy and AI Code Generation Limits
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Wittgenstein's project was to turn philosophy into a code generation problem, using regularized natural language. The first half of the idea is sound, but the few steps of low dimensional discrete compositional operators afforded by language are too limited to model cognition.
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Exploratory Data Analysis with Python: 50 EDA Recipes
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Exploratory Data Analysis with #Python Cookbook — Over EDA 50 recipes to analyze, visualize, and extract insights from structured & unstructured data: http://
amzn.to/3S7Hjuk by @AyoOluleye via @PacktPublishing —————
#DataScience #Analytics #DataScientists #Coding #MahineLearning -
AI Labs Release Advanced Models Quickly After Training Completion
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* Yes, the AI labs have models that are more advanced, but they are generally releasing them quite quickly after training is completed.
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Can Long Context LLMs Replace RAG Systems?
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Is RAG Really Dead? Testing the retrieval limits of long context LLMs RAG systems often retrieve multiple docs relevant to a user input and reason over them to return an answer. How well can long context LLMs do this across hundreds or thousands of pages of input tokens?
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Language Models in the Loop: Harnessing LLM Power Responsibly
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In a deep dive into Language Models in the Loop with Ryan Smith and Snorkel AI CEO Alex Ratner, Ryan addresses how we can harness the power of LLMs without falling prey to their pitfalls. https://
youtube.com/watch?v=A-jX0z
2r7a0
… #snorkelai #languagemodels #machinelearningmeetup