As of the week ending June 11, CBOT soybeans showed a trend of both long and short positions, with the COT index falling for two consecutive weeks. What will happen to the price in the future?

As of the week ending June 4th, CBOT soybeans showed a decrease in long positions and an increase in short positions. The COT index ended its two-week upward trend. What will be the future price?

As of the week ending May 21st, CBOT soybeans showed a trend of increasing long positions and decreasing short positions. The COT index saw a slight rebound. What will be the future price?

Golden Ten Data reported on May 9 that Alibaba DAMO Academy (Lakeside Laboratory) and Nanyang Technological University of Singapore jointly proposed a large model knowledge chain (CoK) framework. The framework can retrieve heterogeneous knowledge sources in real time and gradually correct reasoning errors, further improve the accuracy of large model Q&A knowledge-based questions, and drop the illusion phenomenon. Experimental results in longest fields such as general knowledge, medicine, physics, and biology show that compared with the Chain-of-Thought (CoT) method, the knowledge chain framework can improve the answer accuracy of large models by an average of 4.3%.

CFTC's latest position report: gold speculative net long position soared by 32.5% CFTC's latest position report: gold speculative net long position soared 32.5%, U.S. crude oil speculative net long increased slightly by 1.8% The CFTC's latest Positions Report (COT) showed that the net speculative short position in the pound increased by 7,427 contracts (or 66.3%) to 18,636 contracts The CFTC's latest Positions Report (COT) showed that the Swiss franc was net speculative short by 1,983 contracts (or 11.6%) to 15,095 contracts As of Oct. 24, net speculative long in gold increased by 36,647 shares, or 32.5%, to 149385 shares. Among them, speculative longs increased by 20,057 shares (or 8.7%) to 251469 shares, and speculative shorts decreased by 16,590 shares (or 14.0%) to 102084 shares. (Source: Dailyfx-Legen Tang)

According to a Qubit report on September 24, Meta AI Laboratory proposed a “divide and conquer” solution to the hallucination problem of large models. It is reported that with this solution, the accuracy of the information output by Llama-65 B has doubled, even surpassing ChatGPT. The “Chain of Verification” (CoVe) proposed by Meta this time is a chain method similar to the “Chain of Thought” (CoT). The difference is that the "step-by-step" thinking chain focuses more on logical reasoning, while the verification chain focuses more on factual information.