#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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According to analysts, a BTC-ETF called #iShares Bitcoin Trust from #BlackRock has surpassed #GTC from Grayscale in terms of the number of coins at its core. Accordingly, it is now the largest #BTC spot exchange-traded fund in the United States.
Bloomberg analyst Eric Balchunas confirmed the leadership of the #BlackRock iShares Bitcoin Trust (BUT) among spot BTC ETFs. Recall that this exchange-traded fund bypassed Grayscale's GTC based on the trading results for the last day.
As Eric noted, BlackRock is likely to occupy the top spot "for decades." The reason is a combination of low fees, serious liquidity and the excellent reputation of the iShares brand.
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🚀 Bitcoin ETFs See Strong Inflows as Market Interest Grows
US spot Bitcoin ETFs experienced significant net inflows exceeding $786 million last week, marking their most robust performance since February. According to NS3.AI, BlackRock's iShares Bitcoin Trust attracted approximately $612 million. Meanwhile, Morgan Stanley's newly launched MSBT fund garnered around $46 million within its initial three trading days.
#Bitcoin#ETFs#BlackRock#MorganStanley#CryptoInvestment#MarketInterest#MSBT#iShares#Inflow#BTC