Working with #MachineLearning model
by @DataScienceDojo #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @pbalakrishnarao @rtehrani @pascal_bornet
RESEARCH
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Working with Machine Learning Models in Data Science
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Azure GPU Investment: How Academia Shaped AI Infrastructure
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Only 10 years ago, @Azure had no GPUs. Lessons: 1. If you’re a company, invest in academia because one of the random professors might inform you of what is needed for you to become one of the main AI companies in the world. @Azure now powers @OpenAI and its #ChatGPT 2. AI is
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AI Drug Discovery for Health and Weight Management
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But AI will discover drugs to keep us skinny and healthy with no effort!
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Peace and Exchange: Etymology Reveals Economic Philosophy
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Absolument. Paix. Pay. Pax. Pagar. Pagare… Tous ces mots sont des dérivés du même mot latin : pacare. Donc oui, les concepts de paix et d’échange sont fondamentalement liés.
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Understanding Intelligence Symbols and Consciousness Beyond Internal Theatre
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One of the most revealing ideas in the quest to understand intelligence, symbols, concepts and consciousness. There’s no internal theatre #atheaterism I first came across it when studying concepts 7 years ago. It took long to grasp it, but once you see it, the activations are on!
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Advanced RAG: Generation and Evaluation Techniques
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Advanced RAG Series: Generation and Evaluation In the fifth part of this series, we look at techniques for: Generation (CRAG, Self-RAG, RRR) Evaluation (RAGAs, Langsmith, DeepEval) Another awesome blog by @divyanshu_van https://
div.beehiiv.com/p/advanced-rag
-series-generation-evaluation
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Conscious AI and Cyberanimism at How The Light Gets In festival
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I will talk about Conscious AI and Cyberanimism at the How The Light Gets In festival in Hay (May 24-27)! This year's lineup includes Scott Aaronson, Dan Dennett, Peter Singer, Tim Maudlin, Lisa Randall, Simon Baron-Cohen, Slavoj Žižek, Guy Standing… https://
howthelightgetsin.org/festivals/hay/
programme
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Better LLM Reward Model Performance Without Numerical Scales
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If you’re using out of the box LLMs as a reward model/sample rater, here’s a trick to get way better performance: Don’t ask the LLM to rate examples on a numerical scale (i.e. 1-5). The model will almost always choose 1 or 5. Instead, use words as rating options (“very bad”,
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Fine-tuning LLMs: Progressive Data Selection Strategy
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High alpha technique for fine-tuning LLMs: First, fine-tune your model on all your data Then, use AI to pick a smaller set of really good examples, and tune on them Finally, hand-pick and tune on a few hundred incredible examples >> Huge performance gains <<
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Building RAG Systems for Powerful Data Access
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How to Make a RAG System to Gain Powerful Access to Your Data This article is a great introduction to RAG, and walks through a few important steps of a RAG pipeline: Retrieve Data
Pre-process Data
Implement RAG
Test https://
towardsdatascience.com/how-to-make-a-
rag-system-to-gain-powerful-access-to-your-data-caf4bb9186ea
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