io.netがOpenLedgerと提携し、AIモデル開発を強化

分散型エネルギーデータストレージの需要が高まっており、いくつかのトークンがこの革新的な分野で先頭を切っています。特に、Filecoin (FIL)、Theta Network (THETA)、BitTorrent (BTT)、MultiversX (EGLD)、AIOZ Networkは、エネルギー分野における分散型物理インフラネットワーク（DePIN）の最前線にいます。これらのトークンは、分散型データストレージやコンテンツ配信において重要な役割を果たすだけでなく、ブロックチェーンを活用したエネルギーソリューションにも大きな影響を与えています。彼らの価格動向や取引量は、ブロックチェーン技術とエネルギーの交差点で活動する投資家や開発者にとって潜在的な機会を提供します。 Filecoinは、特に再生可能エネルギーデータ管理において、分散型ストレージソリューションのリーダーとしての地位を確立しています。最新のデータによると、Filecoinの価格は5.70ドルで、取引量は7億2100万ドルで、過去1日で1.43%のわずかな増加を示しています。同様に、分散型ビデオ配信システムを専門とするTheta Networkは、価格が1.96ドルで、日次取引量は8300万ドルで、1.27%の上昇を示しています。これらの2つのトークンは、持続可能なエネルギーアプリケーションにおける効率的なデータとメディア管理の重要性を強調し、市場における彼らの重要性が高まっていることを示しています。 他の注目すべきプレーヤーには、スケーラビリティとスマートシティ統合に焦点を当てたBitTorrentとMultiversXが含まれます。BitTorrentは、価格が0.000001ドルで、取引量が5200万ドルですが、最近2.05%の減少を見ています。一方、MultiversXはスマートシティ向けのスケーラブルなブロックチェーンソリューションを提供することを目指しており、現在の価格は37.78ドルで、取引量は8000万ドルで、わずかに1.11%の減少を記録しています。AIOZ Networkは、価格が0.763ドルで、取引量が1600万ドルで、分散型コンテンツ配信を通じてリアルタイムエネルギー監視を強化しています。これらのトークンは、エネルギー管理とインフラの未来を形作っています。

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.

The AI Lab, a leading e-learning provider in South Korea, has recently entered into a multi-year agreement with Theta EdgeCloud, marking a significant step in enhancing its educational offerings in Artificial Intelligence (AI) and Data Analysis (DA). This partnership allows The AI Lab to leverage Theta EdgeCloud's distributed GPU resources, which will facilitate advanced AI education, model training, and generative AI applications. With a strong focus on hands-on experiences and interactive content, The AI Lab aims to deliver high-quality education through its innovative platform, CodingX, recognized for its effectiveness in teaching AI and coding skills globally. The collaboration with Theta EdgeCloud is expected to bring several advantages to The AI Lab. By utilizing on-demand GPU resources, the institution can enhance curriculum flexibility, allowing for seamless integration of AI into its educational programs. Additionally, the partnership is set to lower operational costs through Theta's distributed infrastructure, enabling cost-effective scaling of their services. Most importantly, the integration of AI-driven learning methodologies will facilitate personalized learning experiences, tailored to meet the unique needs of each student, thereby improving overall performance. Theta EdgeCloud has been rapidly expanding its customer base, recently partnering with prestigious institutions such as Seoul National University and Peking University. This growth underscores the increasing demand for scalable and cost-effective technology solutions in the education sector. John Choi, CEO of The AI Lab, expressed confidence in the partnership, highlighting Theta's strong reputation among South Korean universities and its potential to significantly expand The AI Lab's operations in the coming years. This collaboration is poised to meet the rising demand for technology skills in an AI-driven future, positioning The AI Lab as a key player in the evolving educational landscape.

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.

最近の暗号通貨市場の動向において、ビットコインの支配力が低下しており、イーサリアムとビットコインがトレンドを逆転し始めています。特に、プロクリプトの指名者であるベッセントが財務省のポジションに選ばれ、暗号セクターにとってより好意的な政策へのシフトの可能性を示しています。ヴァン・エックのようなアナリストは、ビットコインがこのサイクルで180,000ドルに達する可能性があると予測しており、投資家の間での楽観主義をさらに高めています。さらに、シカゴ・ボード・オプション取引所（CBOE）は、12月にビットコインETFに関連するオプションを開始する予定であり、市場のアクセス性と流動性を向上させる可能性があります。 一方、暗号コミュニティは、ストリーミングプラットフォームのPumpFunがライブ放送中のコンテンツで批判を受けている中、課題に直面しています。業界にとってのポジティブなニュースとして、香港のZAバンクが暗号取引サービスを開始し、この地域での主流採用に向けた重要なステップを示しています。さらに、Aethirは新しい暗号AIプロジェクトに1億ドルの投資を発表し、人工知能とブロックチェーン技術の交差点を示しています。これは、SalesforceのCEOのAIの未来がエージェントによって支配されるというビジョンと一致しています。 他のニュースでは、Cantor FitzgeraldがTetherの5％の株式を取得し、ステーブルコイン市場での地位を強化しました。しかし、Polymarketはフランスのトレーダーをブロックすることを決定し、進行中の規制の課題を反映しています。SECのコミッショナーは、ゲンスラーの任期の後に辞任する予定であり、規制アプローチの変更につながる可能性があります。分散型科学（DeSci）運動が2019年の初期のDeFiと類似点を描く中、Monadプロジェクトはテストネットを展開し、ブロックチェーン分野での継続的な革新を示しています。