3) Must know Unsupervised learning concepts https://
medium.com/@avikumart_/mu
st-know-concepts-of-an-unsupervised-learning-9362bbe2e01a?source=user_profile———3—————————-
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AI
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Essential Unsupervised Learning Concepts Explained
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Real-World Data Science Project: Lessons and Key Insights
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1) Complete end-to-end data science project experience https://
medium.com/@avikumart_/i-
just-completed-my-first-ever-real-world-data-science-project-heres-what-i-learned-and-insights-6605f0a800b9?source=user_profile———1—————————-
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Best Full Stack AI Creators and Their Integrated Approaches
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Super smart. Who are some of the best creators of this sort that own the full stack, so to speak?
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Beta AI Product Legal Arguments and Commercial Licensing Strategy
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The current version is for non-commercial use because it's "beta" and they're still testing the strength of their legal argument, hehe.
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Decision importance based on human and societal impact
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The importance of a decision is significantly based on how it affects you and other people.
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Self-Retrieval Architecture for Long-Range Language Modeling
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9/ Long-range Language Modeling with Self-Retrieval – an architecture and training procedure for jointly training a retrieval-augmented language model from scratch for long-range language modeling tasks.
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Scaling MLPs: How Inductive Bias Compensates at Scale
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10/ Scaling MLPs: A Tale of Inductive Bias – shows that the performance of MLPs improves with scale and highlights that lack of inductive bias can be compensated.
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Theory-of-Mind Evaluation Framework for Large Language Models
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7/ Understanding Theory-of-Mind in LLMs with LLMs – a framework for procedurally generating evaluations with LLMs; proposes a benchmark to study the social reasoning capabilities of LLMs with LLMs.
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Self-Supervised LLM Evaluation Framework for Deployment Monitoring
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8/ Evaluations with No Labels – a framework for self-supervised evaluation of LLMs by analyzing their sensitivity or invariance to transformations on input text; can be used to monitor LLM behavior on datasets streamed during live model deployment.
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DragDiffusion: Precise Spatial Control in Diffusion-Based Image Editing
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6/ DragDiffusion – extends interactive point-based image editing using diffusion models; it optimizes the diffusion latent to achieve precise spatial control and complete high-quality editing efficiently.