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This strengthens Perplexity's position as a direct competitor to OpenAI and Google, providing users with real-time, web-connected search capabilities.
Why relying on retrieval-augmented generation and prompt engineering is preferable to investing in model training and fine-tuning.
Harnessing the power of AI is essential for modern cloud security because AI is also the latest weapon. Enterprises must mitigate evolving threats while adopting new technologies.
The latest EDB Postgres AI release enables enterprises to deploy secure, flexible AI-driven applications in a sovereign, hybrid environment.
Microsoft’s ethical AI hackers provide some answers — as well as more questions.
As enterprises struggle to balance AI capabilities against data privacy concerns, federated learning provides the best of both worlds.
The tech giant has developed a step-by-step AI toolkit that it says has improved end-to-end code migrations by 50%.
Vertex AI RAG Engine streamlines the complex process of retrieving relevant information from a knowledge base and feeding it to an LLM, Google said.
SwiftKV optimizations developed and integrated into vLLM can improve LLM inference throughput by up to 50%, the company said.
While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge graph.
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