Intel Demonstrates SQL RAG AI Agent With Four-Step Process
Intel has developed an end-to-end SQL and RAG AI agent that can be built in four steps, according to a recent blog post.
Archive
Browse all published articles.
ARCHIVE
-
-
Intel Shares Guide to Containerizing Local LLMs
Intel released a guide detailing how to containerize local large language models, offering developers streamlined deployment options.
-
Intel Explains Retrieval Augmented Generation
Intel outlines how retrieval augmented generation improves AI accuracy by integrating external data sources.
-
Intel Introduces Reranking for Better Tabular Data Ingestion in RAG
Intel announced a new reranking method to improve tabular data ingestion for retrieval-augmented generation, enhancing efficiency by up to 30%.
-
Intel Introduces Tool for Deploying Multiple LLMs in Cloud
Intel announced a new tool that allows developers to deploy multiple large language models in a cloud-native environment, enhancing scalability and efficiency.
-
Intel Shares Four Data Cleaning Techniques for LLM Performance
Intel outlines four data cleaning methods that improved LLM performance by up to 15% in internal testing.
-
MiniMax M3 Uses Sparse Attention for 9.7× Prefill Speedup
MiniMax's M3 model achieves 9.7× prefill speedup and 15.6× decode speedup at 1M tokens, signaling a shift toward sparse attention mechanisms.
-
Hugging Face Releases Borealis, 5B Audio-Language Model for Russian and English
Hugging Face announced Borealis, a 5B parameter open-source audio-language model trained on Russian and English data, achieving 20.88% WER on Russian benchmarks.
-
Microsoft Expands Microsoft Discovery for Agentic AI in R&D
Microsoft announced expanded preview access for Microsoft Discovery, an agentic AI platform for R&D teams, following a year of collaboration with industry experts.
-
Azure AI Workloads Require Updated Cloud Cost Optimization Strategies
Azure highlights the growing complexity of managing cloud costs with AI workloads, emphasizing the need for structured cost optimization practices.
-
Azure AI Focuses on Cost Optimization for Sustainable ROI
Microsoft outlines strategies to help organizations manage AI costs and maximize return on investment, emphasizing long-term value and efficiency.
-
Microsoft Announces AI-Driven Nuclear Energy Solutions
Microsoft unveiled AI tools to enhance nuclear energy operations, with pilot projects set for 2026.