The AI Lab Partners with Theta EdgeCloud to Enhance AI Education

對去中心化能源數據存儲的需求正在上升，幾個代幣在這個創新領域中領先。值得注意的是，Filecoin (FIL)、Theta Network (THETA)、BitTorrent (BTT)、MultiversX (EGLD) 和 AIOZ Network 在能源領域的去中心化物理基礎設施網絡 (DePIN) 中處於前沿。這些代幣不僅在去中心化數據存儲和內容傳遞中扮演著重要角色，還在基於區塊鏈的能源解決方案中發揮著顯著作用。它們的價格波動和交易量為參與區塊鏈技術和能源交集的投資者和開發者提供了潛在機會。 Filecoin 已經確立了自己作為去中心化存儲解決方案的領導者，特別是在可再生能源數據管理方面。根據最新數據，Filecoin 的價格為 5.70 美元，交易量為 7.21 億美元，反映出過去一天小幅上漲 1.43%。同樣，專注於去中心化視頻傳遞系統的 Theta Network，價格為 1.96 美元，日交易量為 8300 萬美元，顯示出 1.27% 的上漲。這兩個代幣強調了在可持續能源應用中對高效數據和媒體管理的迫切需求，展示了它們在市場上日益增長的重要性。 其他值得注意的參與者包括 BitTorrent 和 MultiversX，專注於可擴展性和智慧城市整合。BitTorrent 的價格為 0.000001 美元，交易量為 5200 萬美元，但最近出現了 2.05% 的下降。相比之下，MultiversX 旨在為智慧城市提供可擴展的區塊鏈解決方案，目前價格為 37.78 美元，交易量為 8000 萬美元，儘管略微下降了 1.11%。AIOZ Network 的價格為 0.763 美元，交易量為 1600 萬美元，通過去中心化內容傳遞增強實時能源監控。這些代幣共同塑造了能源管理和基礎設施的未來。

Large Language Models (LLMs) have become essential tools in natural language processing, capable of handling a variety of tasks. However, due to their broad training, they may not excel in specific applications without further adaptation. Fine-tuning techniques, such as Q-LoRA, allow researchers to tailor pre-trained models like Llama 3.2 11B for particular tasks, such as extractive question answering. This article outlines the process of fine-tuning Llama 3.2 11B using Q-LoRA on the SQuAD v2 dataset, showcasing the performance enhancements achieved through this method. LoRA, or Low-Rank Adaptation, is a technique that introduces new weights to an existing model without altering the original parameters. By adding adapter weights that adjust the outputs of certain layers, LoRA enables models to retain their pre-trained knowledge while acquiring new capabilities tailored to specific tasks. In this experiment, the focus is on fine-tuning Llama 3.2 11B for extractive question answering, aiming to extract precise text segments that answer user queries directly, rather than summarizing or rephrasing the content. The experiment was conducted on a Google Colab platform utilizing an A100 GPU, with the Hugging Face Transformers library facilitating the implementation. The results of the fine-tuning process were promising, demonstrating a significant boost in the model's performance on the validation set. The BERT score improved from 0.6469 to 0.7505, while the exact match score rose from 0.116 to 0.418. These enhancements indicate that the Q-LoRA technique effectively adapts the Llama 3.2 11B model for extractive question answering tasks. This article serves as a guide for researchers looking to apply similar methods to other models and tasks, highlighting the potential of fine-tuning in the realm of natural language processing.

Orchid (OXT) has recently witnessed a remarkable surge in trading activity, with its trading volume skyrocketing by an astonishing 2500% within just 24 hours. This surge in trading volume, which reached a cumulative total of $547.74 million, indicates a significant increase in demand for the cryptocurrency. Alongside this, OXT's price has also experienced a notable uptick, rising by 30% during the same period. The data from AMBCrypto and CoinMarketCap highlights that this surge is not just a fleeting moment but rather a reflection of growing investor interest and adoption of the Orchid platform. The increase in trading volume has been accompanied by a corresponding rise in Open Interest, which has surged to a new all-time high of $19 million, marking an increase of 253.88%. This combination of rising trading volume and Open Interest suggests that investors are actively opening new positions, predominantly leaning towards buying. The price of OXT has seen a significant upswing, climbing from a low of $0.0768 to a high of $0.1598, with current trading around $0.1297. The altcoin has also demonstrated impressive gains on both weekly and monthly charts, with increases of 43.15% and 75.15%, respectively. Moreover, the bullish sentiment surrounding OXT is further evidenced by a spike in outflow volume, which has reached a high of $7.1 million. This indicates that many investors are opting to move their assets into cold storage or private wallets, rather than keeping them on exchanges. Additionally, large holders have shown increased interest, with inflows hitting a year-high of 255.79 million OXT tokens. This suggests that significant accumulation is taking place among large investors. If the current trends continue, OXT could potentially face resistance around $0.17, while profit-taking by short-term holders could lead to a drop to $0.09.

This week, decentralized distributed GPU resource platform io.net announced a strategic partnership with OpenLedger, a data blockchain specifically designed for artificial intelligence (AI). This collaboration will enable OpenLedger to utilize io.net's global GPU compute resources, enhancing its ability to refine and train AI models. Known as the Internet of GPUs, io.net provides a powerful network of distributed GPU resources, allowing OpenLedger to accelerate the development of its AI models and empowering developers to create more efficient AI-based decentralized applications (DApps). According to Tausif Ahmad, Vice President of Business Development at io.net, this partnership will provide OpenLedger with a reliable infrastructure to scale its AI models and unlock new use cases, reinforcing its position as an innovative provider in the decentralized AI space. In addition to providing GPU resources, io.net's infrastructure will support the inference and hosting of AI models, ensuring optimal performance and scalability. This partnership is expected to enhance OpenLedger's reputation as a leading provider of reliable datasets, fueling innovation at the intersection of blockchain and AI. The collaboration aims to create high-quality data securely and efficiently while driving innovation and performance. A team member from OpenLedger emphasized that leveraging io.net's GPU infrastructure will allow users to fine-tune AI models more efficiently, ultimately leading to the development of trustworthy and explainable AI models. A significant factor in OpenLedger's choice of io.net as its GPU resource provider is the cost-effective and scalable compute solutions offered. This partnership will enable OpenLedger to expand its services without the constraints of high costs associated with centralized cloud providers. By processing larger datasets and developing AI models with unprecedented efficiency, OpenLedger aims to push the boundaries of decentralized AI innovation. Ultimately, this partnership aligns with OpenLedger's mission to foster an open, collaborative data environment while promoting the adoption of blockchain-powered AI solutions.

Hivemapper Network has announced a proposal to increase the price of map credits from $0.005 to $0.0075, effective January 1, 2025. This adjustment is part of a strategy to stabilize the price of map data for end customers while ensuring that the value accrued from customer spending benefits the Hivemapper Network. Map Credits, which are generated by burning HONEY, play a crucial role in this ecosystem, as developers must redeem them to access network data. The proposed increase aims to enhance the deflationary trajectory of HONEY by allowing a greater share of revenue to flow back into the network, thereby supporting its long-term sustainability. The Hivemapper Network operates on a Burn and Mint model, where map contributors earn HONEY for submitting data, while developers burn HONEY to access this data. This system is designed to balance supply and demand effectively. By raising the price of map credits, the network anticipates that developers will still find it viable to build value-added products, as the increased costs will be offset by the potential for higher profit margins. The leadership at Bee Maps, the first developer on the network, has expressed confidence that this price adjustment will not adversely affect network usage, indicating a manageable margin compression. Community engagement is encouraged as the proposal moves forward. Members of the Hivemapper community are invited to share their thoughts and feedback during a comment period from November 26 to December 2, 2024. The Hivemapper Foundation emphasizes the importance of collaboration in refining the network's design to achieve the goal of creating the world’s freshest map. This proposal reflects a commitment to both developer incentives and the overall health of the Hivemapper ecosystem.

在加密貨幣市場的最新發展中，比特幣的主導地位出現下降，隨著以太坊和比特幣開始逆轉其趨勢。值得注意的是，支持加密貨幣的提名人Bessent已被選為財政部的一個職位，這表明可能會向更有利於加密行業的政策轉變。分析師如Van Eck預測，比特幣在本周期內可能會達到180,000美元，進一步激發投資者的樂觀情緒。此外，芝加哥期權交易所（CBOE）計劃在12月推出與比特幣ETF相關的期權，這可能會增強市場的可及性和流動性。 同時，加密社區面臨挑戰，因為串流平台PumpFun因其直播內容受到批評。對於行業來說，香港的ZA Bank已啟動加密交易服務，標誌著該地區向主流採用邁出了重要一步。此外，Aethir已宣布對新的加密AI項目投資1億美元，展示了人工智慧與區塊鏈技術的交集。這與Salesforce首席執行官對AI未來將由代理主導的願景相一致。 在其他消息中，Cantor Fitzgerald已收購Tether的5%股份，鞏固其在穩定幣市場的地位。然而，Polymarket決定阻止法國交易者，反映出持續的監管挑戰。隨著SEC專員在Gensler任期後將離開，這可能會導致監管方法的變化。隨著去中心化科學（DeSci）運動與2019年早期的DeFi相提並論，Monad項目已推出其測試網，標誌著區塊鏈領域持續的創新。