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Source channel @githubtrending · Post #14907 · Jul 3

#python#agents#generative_ai_tools#llamacpp#llm#onnx#openvino#parsing#retrieval_augmented_generation#small_specialized_models llmware is a powerful, easy-to-use platform that helps you build AI applications using small, specialized language models designed for business tasks like question-answering, summarization, and data extraction. It supports private, secure deployment on your own machines without needing expensive GPUs, making it cost-effective and safe for enterprise use. You can organize and search your documents, run smart queries, and combine knowledge with AI to get accurate answers quickly. It also offers many ready-to-use models and examples, plus tools for building chatbots and agents that automate complex workflows. This helps you save time, improve accuracy, and securely leverage AI for your business needs[1][3][5]. https://github.com/llmware-ai/llmware

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Crypto M - Crypto News

@CryptoM · Post #64831 · 04/10/2026, 02:57 AM

🚀 Economist Predicts Brent-WTI Price Spread to Normalize if US-Iran Ceasefire Holds Economist Hamad Hussain from Capital Economics has stated that the recent ceasefire agreement between the United States and Iran could lead to a normalization of the price spread between Brent and WTI crude oil contracts. According to Jin10, Brent crude typically trades at a premium over WTI crude, but this pattern has been disrupted since the recent conflict began. Hussain noted that the current inverted spread measures the price difference between Brent futures for June delivery and WTI futures for May delivery, with differing contract expiration dates. However, he mentioned that due to significant tightening in the oil market caused by Middle Eastern supply disruptions, and expectations of supply easing in the coming months, the premium of WTI over Brent has widened. #Economist#BrentWTIPriceSpread#USIranCeasefire#CrudeOil#HamadHussain#CapitalEconomics#OilMarket#BrentCrude#WTICrude#MiddleEasternSupply#OilPremium#SupplyDisruptions#OilMarketNormalization