DeepSeek might have disrupted plenty of AI vendors, but Zoho wasn't one of them. If anything, DeepSeek's cost breakthroughs ...
New York City council data scientist says organisations should get their hands dirty with open source AI as his teams build ...
Welcome to the Confluent Q4 and fiscal year 2024 earnings conference call. I'm Shane Xie from investor relations, and I'm joined ...
Despite the latest AI advancements, Large Language Models (LLMs) continue to face challenges in their integration into the ...
The agent utilizes RAG tools to query a vector database for relevant documents, enriching the context before passing it to the LLM for response generation. Finally, the output is delivered via ...
In this talk, the authors share some of our company’s key learnings in developing customer-facing LLM-powered applications ...
Comparisons with general LLMs reveal a 24% performance gain when using the Hybrid Fine-Tuned Generative LLM (HFM), the specialized response generation model integrated into the LQ-RAG framework.
Building a RAG pipeline likely will start with the IT team using the RAG tools embedded in whichever AI suite of tools the agency is using. There is a clear, logical flow to building a RAG pipeline.
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