#rag

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#large-language-models
fromHackernoon
2 years ago
Artificial intelligence

RAG Systems Are Breaking the Barriers of Language Models: Here's How | HackerNoon

Retrieval-Augmented Generation (RAG) systems provide up-to-date information, addressing the limitations of static large language models.
Artificial intelligence
fromInfoWorld
5 months ago

What is retrieval-augmented generation? More accurate and reliable LLMs

RAG enhances the accuracy of large language models by integrating external data sources, but it isn't a comprehensive solution.
fromHackernoon
2 years ago
Artificial intelligence

RAG Systems Are Breaking the Barriers of Language Models: Here's How | HackerNoon

Artificial intelligence
fromInfoWorld
5 months ago

What is retrieval-augmented generation? More accurate and reliable LLMs

RAG enhances the accuracy of large language models by integrating external data sources, but it isn't a comprehensive solution.
more#large-language-models
fromInfoWorld
2 weeks ago

How to create your own RAG applications in R

Basic RAG performed well for general topics but struggled with questions involving time, like identifying workshops next month, due to lack of metadata filtering.
Web development
Software development
fromHackernoon
4 months ago

Your Repo Has Secrets. Indexing Tells AI Where They Are. | HackerNoon

AI-assisted development is changing code interaction, necessitating codebase indexing for accurate and fast assistance from LLMs.
fromHackernoon
3 years ago

I Built a Titan-Powered GenAI Chatbot But Buying Amazon Q Might Still Be Smarter | HackerNoon

While my Gen AI chatbot significantly improves document searching efficiency, I wonder if it can truly compete with the pricing and performance of established solutions like Amazon Q.
Artificial intelligence
#artificial-intelligence
fromMedium
2 months ago
Artificial intelligence

AI Made Simple -What Every Conversation Designer Should Know (Series)-RAG Basics

RAG enhances large language model performance by integrating external data sources for accurate responses.
Artificial intelligence
fromMedium
5 months ago

Mastering RAG: Enhancing AI Applications with Retrieval-Augmented Generation

RAG integrates retrieval mechanisms with generative language models, enhancing AI response accuracy and relevance.
Artificial intelligence
fromMedium
2 months ago

AI Made Simple -What Every Conversation Designer Should Know (Series)-RAG Basics

RAG enhances large language model performance by integrating external data sources for accurate responses.
Artificial intelligence
fromMedium
5 months ago

Mastering RAG: Enhancing AI Applications with Retrieval-Augmented Generation

RAG integrates retrieval mechanisms with generative language models, enhancing AI response accuracy and relevance.
more#artificial-intelligence
fromMedium
2 months ago

AI Made Simple -What Every Conversation Designer Should Know (Series)-RAG Basics

Chunking the content involves breaking down materials into smaller, manageable pieces, allowing language models to process and retrieve relevant information efficiently for generating responses.
Artificial intelligence
#ai
more#ai
fromTechzine Global
4 months ago

Kong AI Gateway 3.10 helps secure AI deployments

Kong's AI RAG Injector addresses LLM hallucinations by integrating data from a vector database, improving security and compliance.
Marketing tech
fromTechzine Global
4 months ago

Microsoft expands AKS with RAG functionality and vLLM support

Microsoft enhances Azure Kubernetes Service with RAG support in KAITO, enabling advanced search capabilities for developers.
vLLM serving engine improves processing speed for model inference workloads in Azure Kubernetes Service.
Roam Research
fromHackernoon
4 months ago

Want AI to Actually Understand Your Code? This Tool Says It Can Help | HackerNoon

CocoIndex uses Tree-sitter to enhance semantic chunking for effective codebase indexing in RAG systems.
fromHackernoon
3 years ago

Build a Fully Local RAG System with rlama and Ollama-No Cloud, No Dependencies | HackerNoon

RAG enhances LLM responses by retrieving relevant document snippets, and rlama enables a fully local, offline implementation for data privacy.
fromtowardsdatascience.com
4 months ago

LettuceDetect: A Hallucination Detection Framework for RAG Applications

LettuceDetect effectively identifies hallucinations in LLM responses, enhancing reliability in high-stakes NLP applications.
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