Ruben Winastwan

Freelance Technical Writer

Chain of Agents (COA): Large Language Models Collaborating on Long-Context Tasks

Community

Chain of Agents (COA): Large Language Models Collaborating on Long-Context Tasks

Discover how Chain-of-Agents enhances Large Language Models by effectively managing context injection, improving response quality while addressing token limitations.

Apr 11, 202511 min read
Cosmos World Foundation Model Platform for Physical AI

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Cosmos World Foundation Model Platform for Physical AI

NVIDIA's Cosmos platform enables safe, digital twin training of GenAI models for physical applications, overcoming data scarcity and safety challenges.

Mar 18, 202514 min read
Building RAG with Dify and Milvus

Community

Building RAG with Dify and Milvus

Learn how to build Retrieval Augmented Generation (RAG) applications using Dify for orchestration and Milvus for vector storage in this step-by-step guide.

Feb 05, 202511 min read
3 Key Patterns to Building Multimodal RAG: A Comprehensive Guide

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3 Key Patterns to Building Multimodal RAG: A Comprehensive Guide

These multimodal RAG patterns include grounding all modalities into a primary modality, embedding them into a unified vector space, or employing hybrid retrieval with raw data access.

Jan 20, 202512 min read
Enhancing RAG with RA-DIT: A Fine-Tuning Approach to Minimize LLM Hallucinations

Paper Reading

Enhancing RAG with RA-DIT: A Fine-Tuning Approach to Minimize LLM Hallucinations

RA-DIT, or Retrieval-Augmented Dual Instruction Tuning, is a method for fine-tuning both the LLM and the retriever in a RAG setup to enhance overall response quality.

Dec 23, 20249 min read
Prover-Verifier Games Improve Legibility of LLM Outputs

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Prover-Verifier Games Improve Legibility of LLM Outputs

We discussed the checkability training approach to help LLMs generate accurate answers that humans can easily understand and verify.

Dec 07, 202412 min read
RouteLLM: An Open-Source Framework for Navigating Cost-Quality Trade-Offs in LLM Deployment

Paper Reading

RouteLLM: An Open-Source Framework for Navigating Cost-Quality Trade-Offs in LLM Deployment

RouteLLM is an open-source framework that enables developers to efficiently route tasks to the most suitable LLMs based on cost, latency, and accuracy.

Nov 28, 202415 min read
LoRA Explained: Low-Rank Adaptation for Fine-Tuning LLMs

Community

LoRA Explained: Low-Rank Adaptation for Fine-Tuning LLMs

LoRA (Low-Rank Adaptation) is a technique for efficiently fine-tuning LLMs by introducing low-rank trainable weight matrices into specific model layers.

Nov 14, 202414 min read
How Inkeep and Milvus Built a RAG-driven AI Assistant for Smarter Interaction

Community

How Inkeep and Milvus Built a RAG-driven AI Assistant for Smarter Interaction

Robert Tran, the Co-founder and CTO of Inkeep, shared how Inkeep and Zilliz built an AI-powered assistant for their documentation site.

Nov 08, 202410 min read