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Building LLM Applications With Vector Databases
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Gabriel Gonçalves |
2025-07-23 |
2,752 |
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Learnings From Teams Training Large-Scale Models: Challenges and Solutions For Monitoring at Hyperscale
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Siddhant Sadangi |
2025-07-23 |
2,228 |
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Introduction to State Space Models as Natural Language Models
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Jana Kabrit |
2025-07-23 |
5,957 |
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STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning [Paper Reflection]
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Seung-won Hwang |
2025-07-23 |
1,433 |
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How to Monitor, Diagnose, and Solve Gradient Issues in Foundation Models
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Klea Ziu |
2025-07-23 |
3,271 |
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SabiYarn: Advancing Low-Resource Languages With Multitask NLP Pre-Training [Paper Reflections]
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Oduguwa Damilola |
2025-08-01 |
1,773 |
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Understanding Prompt Injection: Risks, Methods, and Defense Measures
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Soumya Shaw |
2025-08-07 |
5,572 |
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Observability in LLMOps: Different Levels of Scale
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Aurimas Griciunas |
2025-08-14 |
1,344 |
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Explore feature-by-feature comparisons
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-- |
2025-09-09 |
69 |
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A Researcher’s Guide to LLM Grounding
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Joel Rorseth |
2025-09-26 |
2,632 |
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Part 1: Instruction Fine-Tuning: Fundamentals, Architecture Modifications, and Loss Functions
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Jules Belveze |
2025-10-23 |
4,260 |
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Detecting and Fixing ‘Dead Neurons’ in Foundation Models
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Michał Oleszak |
2025-10-28 |
3,380 |
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How to Optimize LLM Inference
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Alek Pikl |
2025-10-28 |
4,965 |
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Part 2: Instruction Fine-Tuning: Evaluation and Advanced Techniques for Efficient Training
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Jules Belveze |
2025-10-28 |
4,453 |
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What are LLM Embeddings: All you Need to Know
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Cristian Catalin Tatu |
2025-11-06 |
4,093 |
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Synthetic Data for LLM Training
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Klea Ziu |
2025-11-12 |
3,481 |
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We are joining OpenAI
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Piotr Niedzwiedz |
2025-12-03 |
498 |
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Neptune Blog
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-- |
2025-12-07 |
51 |
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