Up to Data
Kopal GargWhere Data Science, Cloud, and AI Converge
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 16 | Founded | 3 years ago | Last Issue | 9 months ago |
| Active | |||||
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uptodata.substack.comLatest Issues
Taming LLMs with NeMo Guardrails
LLMs can draft legal contracts, answer medical questions, or reset a customer’s password - but that’s also exactly why they’re risky.
Without safeguards, customer-facing AI can:
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Leak PII
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Offer unauthorized legal or medical advic...
Accelerating DenseNet-121 Inference NVIDIA
Modern medical imaging workflows must process thousands of high-resolution scans rapidly. To study this, we built an end-to-end DenseNet-121 inference pipeline on the MedNIST dataset and compared CPU vs GPU performance across every stage....
Mapping NVIDIA's Full GenAI Toolchain
Generative AI systems need more than powerful models, they depend on the software and infrastructure that can train, serve, and scale them efficiently. NVIDIA’s AI Enterprise Software Reference Architecture organizes its tools into layers t...
NVIDIA BioNeMo for Generative AI & Protein Binder Design
Designing therapeutic proteins that actually bind to target molecules in drug discovery presents a staggering challenge. Traditional workflows include lots of trial-and-error, iterating through thousands of candidates, with each synthesis a...
Guided Generation for LLM Outputs
LLMs like GPT-4 and Gemini Pro are useful for generating and manipulating text. But to harness their full potential, it's important to guide the generation process, such that the outputs adhere to specific formats or structures.
In this b...
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Authors
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Gen AI @NVIDIA | Kopal Garg is a machine learning engineer with expertise in developing scalable software solutions for biomedicine.
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