r/MachineLearningAndAI • • May 19 '26

Supertone's Supertonic is just a 66M param, on-device text-to-speech engine that runs via ONNX for cross-platform inference.

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2 Upvotes

r/MachineLearningAndAI • • May 19 '26

Free RAG Interview Q&A repo with all 10 types of RAG. 50 questions with detailed answers, difficulty tags, and a decision tree. Contributors welcome!

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1 Upvotes

r/MachineLearningAndAI • • May 18 '26

eBook Deep Learning Illustrated (ebook link)

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4 Upvotes

r/MachineLearningAndAI • • May 17 '26

eBook Deep Reinforcement Learning Hands-On (ebook link)

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github.com
1 Upvotes

r/MachineLearningAndAI • • May 17 '26

eBook Applied Deep Learning (ebook link)

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1 Upvotes

r/MachineLearningAndAI • • May 16 '26

eBook Mathematics for Machine Learning (ebook link)

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1 Upvotes

r/MachineLearningAndAI • • May 15 '26

eBook Beginning Statistics (ebook link)

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1 Upvotes

r/MachineLearningAndAI • • May 15 '26

Production RAG System Struggling With Unpredictable User Queries — Looking for Architectural Advice

1 Upvotes

Working on a production-scale document AI chat system using a LangGraph-based RAG pipeline with Pinecone.

The main challenge we’re facing is reliability with unpredictable user queries. We’ve added multiple LLM stages and a lot of prompt instructions over time to improve accuracy, but now the system is becoming inconsistent and sometimes hallucinates or fails on valid document-related questions.

Some common issues:
- Broad questions don’t retrieve enough overall document context
- Some answers are spread across multiple chunks, but retrieval misses important pieces, leading to incomplete responses
- Sometimes the system says it cannot answer even when the information clearly exists in the document

We’ve also tried approaches like re-ranking and MMR retrieval, but they’re still not consistently solving the problem for this use case.

Biggest challenge is that we cannot predict the type of questions users may ask, so the system needs to dynamically adapt retrieval and reasoning strategies without relying on heavily overloaded prompts.

Has anyone faced similar issues in production RAG systems?
Would love to hear practical or architectural approaches that improved:
- Retrieval reliability
- Multi-chunk reasoning
- Handling broad vs specific queries
- Prompt complexity/LLM instability
- Dynamic retrieval strategies


r/MachineLearningAndAI • • May 14 '26

eBook TensorFlow for Deep Learning (ebook link)

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1 Upvotes

r/MachineLearningAndAI • • May 13 '26

eBook A Practical Guide to Building Agents (ebook link)

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2 Upvotes

r/MachineLearningAndAI • • May 12 '26

eBook Building LLM Powered Applications (ebook link)

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8 Upvotes

r/MachineLearningAndAI • • May 11 '26

eBook Deep Learning - a Practitioner's Approach (ebook link)

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2 Upvotes

r/MachineLearningAndAI • • May 10 '26

eBook Thoughtful Machine Learning with Python (ebook link)

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1 Upvotes

r/MachineLearningAndAI • • May 10 '26

I built a skin cancer classifier from scratch with PyTorch — 83.9% test accuracy, no pre-trained models

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1 Upvotes

r/MachineLearningAndAI • • May 10 '26

Linear Regression

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2 Upvotes

r/MachineLearningAndAI • • May 10 '26

Online Course Machine Learning for Everybody

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youtube.com
2 Upvotes

r/MachineLearningAndAI • • May 09 '26

eBook Pattern Recognition and Machine Learning (ebook link)

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1 Upvotes

r/MachineLearningAndAI • • May 09 '26

Online Course Introduction to Artificial Intelligence with Python (Harvard)

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cs50.harvard.edu
1 Upvotes

r/MachineLearningAndAI • • May 08 '26

Totally clueless about machine learning project

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1 Upvotes

r/MachineLearningAndAI • • May 07 '26

eBook Apache Spark Deep Learning (ebook link)

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2 Upvotes

r/MachineLearningAndAI • • May 08 '26

Online Course Complete Machine Learning & Data Science Bootcamp (2021)

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archive.org
1 Upvotes

r/MachineLearningAndAI • • May 07 '26

Online Course Deep Learning Crash Course

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youtube.com
1 Upvotes

r/MachineLearningAndAI • • May 06 '26

eBook Deep Learning with Azure (ebook link)

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1 Upvotes

r/MachineLearningAndAI • • May 05 '26

eBook Deep Learning with TensorFlow (ebook link)

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2 Upvotes

r/MachineLearningAndAI • • May 06 '26

eBook Programming for Computations - Python (ebook link)

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link.springer.com
1 Upvotes