Tag: applications
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How to Ensure Reliability in LLM Applications
How to Ensure Reliability in LLM Applications Learn how to make your LLM applications more robust The post How to Ensure Reliability in LLM Applications appeared first on Towards Data Science. Eivind Kjosbakken Go to original source
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Applications of Density Estimation to Legal Theory
Applications of Density Estimation to Legal Theory A brief analysis using density estimation to compare the two-verdict and three-verdict systems. The post Applications of Density Estimation to Legal Theory appeared first on Towards Data Science. Jimin Kang Go to original source
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Agentic RAG Applications: Company Knowledge Slack Agents
Agentic RAG Applications: Company Knowledge Slack Agents Lessons learnt using LlamaIndex and Modal The post Agentic RAG Applications: Company Knowledge Slack Agents appeared first on Towards Data Science. Ida Silfverskiöld Go to original source
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Building AI Applications in Ruby
Building AI Applications in Ruby This is the second in a multi-part series on creating web applications with generative AI integration. Part 1 focused on explaining the AI stack and why the application layer is the best place in the stack to be. Check it out here. Table of Contents Introduction I thought spas were supposed…
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ReLU integral probability metric and its applications
ReLU integral probability metric and its applications arXiv:2504.18897v1 Announce Type: new Abstract: We propose a parametric integral probability metric (IPM) to measure the discrepancy between two probability measures. The proposed IPM leverages a specific parametric family of discriminators, such as single-node neural networks with ReLU activation, to effectively distinguish between distributions, making it applicable in…
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Applications of Entropy in Data Analysis and Machine Learning: A Review
Applications of Entropy in Data Analysis and Machine Learning: A Review arXiv:2503.02921v1 Announce Type: new Abstract: Since its origin in the thermodynamics of the 19th century, the concept of entropy has also permeated other fields of physics and mathematics, such as Classical and Quantum Statistical Mechanics, Information Theory, Probability Theory, Ergodic Theory and the Theory…
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Why Generative-AI Apps’ Quality Often Sucks and What to Do About It
Why Generative-AI Apps’ Quality Often Sucks and What to Do About It How to get from PoCs to tested high-quality applications in production Image licensed from elements.envato.com, edit by Marcel Müller, 2025 The generative AI hype has rolled through the business world in the past two years. This technology can make business process executions more efficient,…
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200 applications – no response, please help. I have applied for data science (associate or mid-level) positions. Thank you
200 applications – no response, please help. I have applied for data science (associate or mid-level) positions. Thank you submitted by /u/Sad_Campaign713 [link] [comments] /u/Sad_Campaign713 Go to original source
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Evaluation-Driven Development for agentic applications using PydanticAI
Evaluation-Driven Development for agentic applications using PydanticAI An open-source, model-agnostic agentic framework that supports dependency injection Ideally, you can evaluate agentic applications even as you are developing them, instead of evaluation being an afterthought. For this to work, though, you need to be able to mock both internal and external dependencies of the agent you…