Contextual RAG: Identify Risks and Opportunities without Over-Engineering
The copilot was born, a means by which one can engage with – prompt – a Generative Pretrained Transformer ( GPT) AI model ...
Contextual AI’s new AI model crushes GPT-4o in accuracy — here’s why it matters
Contextual AI launches its Grounded Language Model (GLM) that achieves 88% factual accuracy, outperforming major competitors while minimizing hallucinations for enterprise applications.
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What is retrieval-augmented generation? More accurate and reliable LLMs
Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response ...
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 ...
Bridging Modalities: The Future of AI with Multimodal RAG Systems
Shekhar Agrawal's contributions lay the foundation for a new era of AI one that is more intelligent, context-aware, and ...
RAGs To Riches: How Retrieval-Augmented Generation Is Changing Advertising
Retrieval-augmented generation represents a paradigm shift in AI-powered advertising, bridging the gap between creative ...
Contextual AI Launches Snowflake Native App on Snowflake Marketplace
Contextual AI, the Enterprise AI company, today announced the availability of the Contextual AI Platform as a Snowflake Native App on the Snowflake Marketplace. The strategic integration enables ...
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 LLMs and developing AI agents—and evaluates their role in shaping the future ...