AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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2,897 papers
GATK-SV A structural variation discovery pipeline for Illumina short-read whole-genome sequencing (WGS) data. Table of Contents Requirements Citation Quickstart Pipeline Overview Cohort mode Single-sample mode gCNV model Generating a reference panel Module Descriptions GatherSampleEvidence - Raw callers and evidence co...
GATK-SV A structural variation discovery pipeline for Illumina short-read whole-genome sequencing (WGS) data. Table of Contents Requirements Citation Acknowledgements Quickstart Pipeline Overview Cohort mode Single-sample mode gCNV model Generating a reference panel Module Descriptions GatherSampleEvidence - Raw caller...
Abstract of Beyond Loss Convergence: The Geometric Convergence Index and the Crystallization Horizon of Transformer Manifolds Determining when Large Language Model (LLM) pre-training is structurally complete remains one of the most critical open challenges in artificial intelligence. Contemporary foundation model pipel...
Cloud vision–language models diagnose plant disease well but bill per query and need connectivity, anda conventional classifier has no output unit for an unseen crop. We ask what lets a small, frozen vision–language model diagnose crops it was never trained on. On the SAGE dataset, four frozen compactcontrastive encode...
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GATK-SV A structural variation discovery pipeline for Illumina short-read whole-genome sequencing (WGS) data. Table of Contents Requirements Citation Acknowledgements Quickstart Pipeline Overview Cohort mode Single-sample mode gCNV model Generating a reference panel Module Descriptions GatherSampleEvidence - Raw caller...
GATK-SV A structural variation discovery pipeline for Illumina short-read whole-genome sequencing (WGS) data. Table of Contents Requirements Citation Quickstart Pipeline Overview Cohort mode Single-sample mode gCNV model Generating a reference panel Module Descriptions GatherSampleEvidence - Raw callers and evidence co...
That oil-drop charges are integer multiples of the elementary charge e is a classic piece of evidence for the quantization of charge. But do those data rule out smaller units such as half or a third of e? With the charges of 40 oil drops made by random numbers, the Euclidean algorithm, peak heights and counts of odd mu...
Retrieval-Augmented Generation (RAG) has emerged as a principled solution to the knowledge limitations of large language models (LLMs). We design and implement a complete RAG pipeline built on LangChain, ChromaDB with HNSW indexing, BAAI/bge-small-en-v1.5 embeddings, and LLaMA 3.3 70B deployed on Groq LPU infrastructur...
Replication package for the paper "When Retrieval Helps and When It Hurts: A Pre-Registered Cross-Lingual RAG Benchmark for Small Language Models in Greek and Georgian" (submitted to Baltic Journal of Modern Computing, 2026). Contains: all pipeline scripts (01–11), the final question dataset (230 K-12 science questions...
Vaayu is a 492M parameter Small Language Model purpose-built for machine-to-machine tool orchestration with native Model Context Protocol support. It autonomously reads and interacts with raw JSON-RPC 2.0 schemas to serve as a secure, local runtime engine for agent loops.
Large language models (LLMs) are increasingly being used as ad hoc therapists. While prior research has found that LLMs outperform human counselors in generating single-turn empathetic responses, fewer studies have compared their behaviors across multi-turn sessions. In this study, we compare the session-level behavior...
GATK-SV A structural variation discovery pipeline for Illumina short-read whole-genome sequencing (WGS) data. Table of Contents Requirements Citation Acknowledgements Quickstart Pipeline Overview Cohort mode Single-sample mode gCNV model Generating a reference panel Module Descriptions GatherSampleEvidence - Raw caller...
Earth AI
A Blog post by Ai2 on Hugging Face
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