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Source channel @githubtrending · Post #14798 · Jun 6

#jupyter_notebook Unsloth is a tool that makes it much faster and easier to fine-tune large language models like Llama, Mistral, and Gemma, even on regular computers or single GPUs. It uses smart tricks to speed up training by 2 to 5 times and cuts memory use by up to 70%, so you can train models quickly without needing expensive hardware[1][3][4]. The benefit is that anyone—developers, researchers, or AI fans—can create custom AI models for different tasks, from chatting to vision, in less time and with less hassle, using ready-made notebooks and guides for popular models[3][5]. https://github.com/unslothai/notebooks

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Crypto M - Crypto News

@CryptoM · Post #64537 · 04/09/2026, 06:45 AM

🚀 U.S. Inflation Pressures Persist as February PCE Data Anticipated The market anticipates that the U.S. February Personal Consumption Expenditures (PCE) data will indicate ongoing inflationary pressures. According to BlockBeats, consensus expectations suggest a month-on-month increase to 0.4% and a year-on-year rate holding at 2.8%, with core PCE year-on-year at approximately 3.0%, significantly above the Federal Reserve's 2% target. Analysts highlight that the current inflation rebound is primarily driven by rising commodity prices and increasing energy costs, while 'super core services inflation' remains notably sticky, making a short-term decline unlikely. In this context, the Federal Reserve is expected to maintain the interest rate range of 3.50%-3.75% at its April meeting, marking the third consecutive pause in rate cuts. Market pricing has also shifted rapidly, with over 97% of traders betting on no change in April, and expectations for rate cuts within the year have cooled significantly, with mainstream views shifting towards a 'later, less' easing path. #USInflation#PCEData#InflationPressures#FederalReserve#InterestRates#EnergyCosts#CommodityPrices#SuperCoreServices#MarketExpectations#RateCuts#USEconomy#FebruaryPCE#EconomicOutlook#FedPolicy#InflationRebound