#retrieval-augmented-generation
#retrieval-augmented-generation

Artificial intelligence

Despite its ubiquity, RAG-enhanced AI still poses accuracy and safety risks

fromMarTech

Artificial intelligence

RAG: The most important AI tool marketers have never heard of | MarTech

fromZDNET

3 months ago

Artificial intelligence

RAG can make AI models riskier and less reliable, new research shows

fromAbove the Law

Deep Research - Above the Law

The main challenge of Generative AI like ChatGPT is hallucination, particularly in critical fields like law.

fromTechCrunch

3 weeks ago

Tech industry

Moroccan founder raises $4.2M for her YC-backed startup building the next layer of AI search | TechCrunch

fromComputerworld

Artificial intelligence

Despite its ubiquity, RAG-enhanced AI still poses accuracy and safety risks

fromMarTech

Artificial intelligence

RAG: The most important AI tool marketers have never heard of | MarTech

fromZDNET

3 months ago

Artificial intelligence

RAG can make AI models riskier and less reliable, new research shows

fromAbove the Law

Deep Research - Above the Law

The main challenge of Generative AI like ChatGPT is hallucination, particularly in critical fields like law.

more#generative-ai

fromDrew Breunig

How to Fix Your Context

Mitigating context failures requires effective information management strategies to enhance model responses.

fromDigiday

Here are the biggest misconceptions about AI content scraping

AI bots are now scraping publishers' sites more for real-time information than for training large language models, posing new challenges for publishers.

#ai-integration

Artificial intelligence

Fine-tuning vs. RAG: Which AI strategy fits your frontend project? - LogRocket Blog

fromTheregister

Training AI Is tough; Deploying in enterprise is next-level

Fine tuning is not a magic solution for AI; RAG might be a better approach for integrating LLMs effectively.

Artificial intelligence

Fine-tuning vs. RAG: Which AI strategy fits your frontend project? - LogRocket Blog

fromTheregister

Training AI Is tough; Deploying in enterprise is next-level

Fine tuning is not a magic solution for AI; RAG might be a better approach for integrating LLMs effectively.

Artificial intelligence

AI Models Show Signs of Falling Apart as They Ingest More AI-Generated Data

Node JS

Enhancing LLMs with function calling and the OpenAI API - LogRocket Blog

fromInfoWorld

Artificial intelligence

Lessons from building retrieval systems for AI assistants

fromFast Company

Artificial intelligence

How Hebbia is building AI for in-depth research

fromClickUp

RAG Use Cases: Enhance AI, ML Workflows Efficiently | ClickUp

Retrieval-augmented generation (RAG) enhances AI accuracy by integrating dynamic external data with traditional models.

fromUX Magazine

Is RAG the Future of Knowledge Management?

RAG enhances LLMs by connecting them to external databases for real-time accuracy.

fromFuturism

AI Models Show Signs of Falling Apart as They Ingest More AI-Generated Data

AI models are at risk of collapse due to reliance on AI-generated data for training, causing a cycle of degraded output.

Node JS

Enhancing LLMs with function calling and the OpenAI API - LogRocket Blog

fromInfoWorld

Lessons from building retrieval systems for AI assistants

RAG architecture enhances AI assistants by integrating language models with external knowledge bases for accurate responses.

fromFast Company

Artificial intelligence

How Hebbia is building AI for in-depth research

fromClickUp

RAG Use Cases: Enhance AI, ML Workflows Efficiently | ClickUp

Retrieval-augmented generation (RAG) enhances AI accuracy by integrating dynamic external data with traditional models.

fromUX Magazine

Is RAG the Future of Knowledge Management?

RAG enhances LLMs by connecting them to external databases for real-time accuracy.

more#ai

fromInfoQ

3 months ago

Cloudflare AutoRAG Streamlines Retrieval-Augmented Generation

Cloudflare's AutoRAG automates the complex process of retrieval-augmented generation, enabling developers to integrate data and improve LLM accuracy without a patchwork of tools.

Artificial intelligence

2 years ago

GPT-4.1's 1M-token Context Window is Impressive but Insufficient for Real-world Use Cases | HackerNoon

The allure of large context windows in AI models promises vast data handling and perfect recall, but reality often diverges from these enticing features.

Artificial intelligence

#artificial-intelligence

fromComputerWeekly.com

Artificial intelligence

Understanding RAG architecture and its fundamentals | Computer Weekly

LLM + RAG: Creating an AI-Powered File Reader Assistant

AI simplifies daily tasks, enhancing productivity through tools like chatbots and LLMs.

fromMedium

Key Takeaways from the AI Builders Summit: A Four-Week Deep Dive into AI Development

The AI Builders Summit highlighted advancements in AI technologies across various domains, emphasizing practical strategies for building and optimizing AI models.

fromComputerWeekly.com

Understanding RAG architecture and its fundamentals | Computer Weekly

The industry is seeing a growing focus on retrieval augmented generation (RAG) architectures, which combine generative AI with enterprise search for accurate answers.

LLM + RAG: Creating an AI-Powered File Reader Assistant

AI simplifies daily tasks, enhancing productivity through tools like chatbots and LLMs.

fromMedium

more#artificial-intelligence

Key Takeaways from the AI Builders Summit: A Four-Week Deep Dive into AI Development

The AI Builders Summit highlighted advancements in AI technologies across various domains, emphasizing practical strategies for building and optimizing AI models.

Smart Queries, Smarter Answers: Adaptive-RAG in Action | HackerNoon

The Adaptive-RAG framework optimally adjusts query handling strategies based on complexity, ranging from non-retrieval methods for simple queries to multi-step strategies for complex ones.

Artificial intelligence

Adaptive Ascension: LLMs, Efficiency, and Query Complexity | HackerNoon

The findings indicate that while simple retrieval strategies are less effective, complex strategies come with increased costs. Adaptive-RAG addresses the need for tailored responses based on user query complexity.

Artificial intelligence

Dynamic Retrieval Strategies: Enhancing QA Across Query Types | HackerNoon

Adaptive Retrieval-Augmented Generation significantly improves multi-hop open-domain question answering by combining advanced document retrieval and reasoning abilities of large language models.

beer

Can Adaptive QA Frameworks Solve the Query Complexity Puzzle? | HackerNoon

Adaptive Retrieval-Augmented Generation improves response accuracy by dynamically addressing the complexity of user queries in question-answering tasks.

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.

Marketing tech

fromForbes

RAGs To Riches: How Retrieval-Augmented Generation Is Changing Advertising

RAG enhances AI-generated advertising by improving contextual relevance, accuracy, and alignment with brand messaging.

fromInfoWorld

Teradata adds Enterprise Vector Store to augment RAG

Teradata's Enterprise Vector Store introduces in-database vector support for enhanced AI capabilities and retrieval augmented generation.

Privacy technologies

2 years ago

Your Chatbot Might Be Leaking Secrets-Here's How to Lock It Down | HackerNoon

The commoditization of foundation models simplifies chatbot development, but real-world applications necessitate contextual data to improve accuracy.

Productivity

Enhancing RAG: Beyond Vanilla Approaches

RAG enhances language models but struggles in complex retrieval scenarios.

Artificial intelligence

Retrieval Augmented Generation in SQLite

SQLite simplifies the approach to retrieval-augmented generation (RAG) without the need for complex frameworks or cloud databases.