Use OpenAI Whisper for Automated Transcriptions
development lately with large language models (LLMs). A lot of the focus is on the question-answering you can do with ...
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Data Has No Moat! | Towards Data Science
of AI and data-driven projects, the importance of data and its quality have been recognized as critical to a project’s ...
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Reinforcement Learning from Human Feedback, Explained Simply
The appearance of ChatGPT in 2022 completely changed how the world started perceiving artificial intelligence. The incredible performance of ChatGPT ...
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LLM-as-a-Judge: A Practical Guide | Towards Data Science
If features powered by LLMs, you already know how important evaluation is. Getting a model to say something is easy, ...
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Beyond Model Stacking: The Architecture Principles That Make Multimodal AI Systems Work
1. It with a Vision While rewatching Iron Man, I found myself captivated by how deeply JARVIS could understand a ...
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Regularisation: A Deep Dive into Theory, Implementation, and Practical Insights
This blog is a deep dive into regularisation techniques, intended to give you simple intuitions, mathematical foundations, and implementation details. ...
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AI Is Not a Black Box (Relatively Speaking)
Summary: Opinion piece for the general TDS audience. I argue that AI is more transparent than humans in tangible ways. ...
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Connecting the Dots for Better Movie Recommendations
promises of retrieval-augmented generation (RAG) is that it allows AI systems to answer questions using up-to-date or domain-specific information, without ...
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How I Automated My Machine Learning Workflow with Just 10 Lines of Python
is magical — until you’re stuck trying to decide which model to use for your dataset. Should you go with a random ...
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Prescriptive Modeling Unpacked: A Complete Guide to Intervention With Bayesian Modeling.
In this article, I will demonstrate how to move from simply forecasting outcomes to actively intervening in systems to steer ...
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