#retrievalaugmentedgeneration

2025-05-08

Tired of LLM hallucinations? #RetrievalAugmentedGeneration is your answer!

Learn how applying high-quality metadata and distributing ownership of documents & prompts to domain experts can further boost accuracy in your #RAG applications.

ℹ️ Dive deeper into this topic in the #InfoQ article by George Panagiotopoulos.

👉 Read more: bit.ly/4kcbqgM

#LLMs #AI #GenerativeAI

2025-05-05

CyberPod AI: Autonomous Data Intelligence in UAE

Whether it's through real-time cybersecurity monitoring in Dubai, intelligent Retrieval-Augmented Generation in Abu Dhabi, or highly capable autonomous AI agents in Sharjah, CyberPod AI is setting the bar to define the next generation of cyber security throughout the region.



(rag)

click on the below link for more information:
tektronixllc.ae/cyberpod-ai-cy

Leon Revilldenoisedigital
2025-05-01

By empowering AI agents to draw upon vast knowledge bases, RAG bridges the gap between traditional language models and the wealth of information in the real world.

Read more 👉 lttr.ai/AeQWj

N-gated Hacker Newsngate
2025-03-04

🤦‍♂️ Another thrilling saga of the academic elite congratulating themselves for acknowledging their patron, the Simons Foundation. In a dazzling display of , we learn the revolutionary idea of using "Retrieval Augmented Generation" to detect frames, whatever that means.🙄✨
arxiv.org/abs/2502.12210

Antonio Foncubiertaafoncubiertar@masto.ai
2025-02-25

New #preprint on #DataAnalysis:
intelligent #agents with #RetrievalAugmentedGeneration to automate data analysis, dataset curation and indexing at scale.

Check out the work of Mara Graziani et al. at: arxiv.org/abs/2502.15718

2024-11-22

Semantic Scholar
et Washington University ont développé un nouveau #discoverytool basé sur une #ArtificialInteligence qui exploite un corpus documentaire scientifique #RetrievalAugmentedGeneration pour gérer l'inflation éditoriale
Testé avec un panel de scientifiques
#opensource

infodocket.com/2024/11/19/rese

2024-10-31

Discover how #Uber has developed Genie - an #AI-powered on-call copilot designed to improve the efficiency of on-call support engineers.

Powered by #RetrievalAugmentedGeneration (RAG), Genie delivers accurate real-time responses and significantly enhances incident response speed and effectiveness.

Since its launch, Genie has:
• Answered 70,000+ questions across 154 Slack channels
• Saved an estimated 13,000 engineering hours
• Achieved a 48.9% helpfulness rate from user feedback

Read more on #InfoQ 👉 bit.ly/3YKbP1N

#CaseStudy #SoftwareArchitecture #AIArchitecture

Python Irelandpythonie
2024-10-22

Have you seen the schedule for PyCon Ireland 2024?

Check out the schedule and book your ticket here:
python.ie/pycon-2024/schedule/

Nicolai Brodersen Hansennbhansen@hci.social
2024-10-07

My students are exploring #ai this semester, and while I have shown them some #retrievalaugmentedgeneration basics in like LM Studio, they understandably aren't very impressed. Is there any good open source or even commercial solutions that are sort of plug and play? These are not super technical students hence the question.

2024-09-18

🎙️ New InfoQ Podcast: A Primer on AI for Architects with Anthony Alford

In this episode of the #InfoQ #podcast with Thomas Betts & Anthony Alford, Senior Director at Genesys and InfoQ Editor, breaks down the essential AI concepts that software architects need to understand in today’s evolving tech landscape. From machine learning models to large language models (LLMs) and retrieval-augmented generation (RAG), Anthony covers everything you need to know.

Key Takeaways:
1️⃣ AI ≠ Magic: Most AI today is machine learning. LLMs like GPT are functions that take inputs and provide outputs, just like any other API call.
2️⃣ LLM Adoption: Define success criteria before integrating LLMs into your app. Start with Retrieval-Augmented Generation (RAG) to improve results.
3️⃣ Vector Databases: They enable nearest-neighbor searches, helping find relevant content to improve LLM responses.

👉 Listen to the full episode: bit.ly/4gqYORN

#AI #LLMs #RAG #RetrievalAugmentedGeneration #ML #LLMs

2024-08-04

PA - A Personal Assistant leveraging Retrieval-Augmented Generation (RAG) and the LLaMA-3.1-8B-Instant Large Language Model (LLM). This tool is designed to revolutionize PDF document analysis tasks by combining machine learning with retrieval-based systems. #llm #ai #artificialintelligence #personalassistant #machinelearning #rag #retrievalaugmentedgeneration github.com/mytechnotalent/pa

Leon Revilldenoisedigital
2024-07-31

What Are the Limitations of Retrieval-Augmented Generation?

Read more 👉 lttr.ai/AVXsp

SolGuruz LLPSolGuruzllp
2024-07-30

Discover what RAG is and how RAG bridges the gap between data retrieval and AI-generated responses
with unprecedented accuracy, transforming AI development.

More details: solguruz.com/generative-ai/wha



2024-07-11

In this #InfoQ video, Sam Partee explores the world of #RetrievalAugmentedGeneration and its significance for #LargeLanguageModels like OpenAI's GPT4.

With the rapid evolution of data, LLMs face the challenge of staying up-to-date and contextually relevant. By harnessing the capabilities of #VectorEmbeddings and #databases, LLMs can overcome these challenges and unlock their true potential.

Watch the video now: bit.ly/3LgXi6i

#AI #ML #RAG # #LLMs

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