Unite.AI5d
Post-RAG Evolution: AI’s Journey from Information Retrieval to Real-Time Reasoning
For years, search engines and databases relied on essential keyword matching, often leading to fragmented and context-lacking ...
Mayo Clinic’s secret weapon against AI hallucinations: Reverse RAG in action
To tackle data-retrieval-based hallucinations in non-diagnostic use cases, Mayo Clinic has applied CURE reverse RAG paired with vector databases.
Prompting, Fine-Tuning, RAG And AI Agents For Future Marketing
This article explores four key methods—prompting LLMs, building retrieval-augmented generation (RAG) systems, fine-tuning ...
ITWeb on MSN3d
How information management creates control in the cloud and AI era
Information management platforms such as OpenText have developed systems to address different data and information challenges ...
Supercharge RAG Projects with DeepSeek R1 AI Reasoning Model
Enhance RAG pipelines with DeepSeek R1 for precise, context-aware responses. Learn how to build a robust knowledge base and ...
DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind.
diginomica7d
Want better LLM results? Then it's time for AI evaluation tools - learning from Galileo's RAG and agent metrics
Whether we should trust AI - particularly generative AI - remains a worthy debate. But if you want a better LLM result, you ...
Computer Weekly26d
RAG AI: ‘Do it yourself,’ says NYC data scientist
Organisations should build their own generative artificial intelligence-based (GenAI-based) on retrieval augmented generation (RAG) with open ... majored on AI and came as the desert kingdom ...