Binance Launches IO.NET Token with Decentralized AI and Cloud Services

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.

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.

In recent market activity, the Akash Network (AKT) has demonstrated a resilient bullish trend despite a broader market liquidation of $500 million within the last 24 hours. Over this period, the price of AKT has increased by 3.34%, indicating a strong upward momentum. The current price action suggests a potential breakout rally that could propel the token to new all-time highs. The daily chart reveals a falling wedge breakout, which has gained traction, and the formation of a bullish flag pattern indicates further upside potential for the Akash Network token. The recovery of the AKT price has been remarkable, surging 86.85% from a low of $2.11 to its current price of $3.95. This upward movement has successfully surpassed the 50% Fibonacci level at $3.52 and is now challenging the 61.80% Fibonacci level at approximately $3.9851, coinciding with a significant resistance zone near the psychological mark of $4.00. For the ongoing bullish rally to persist, it is crucial for the AKT price to break through this resistance zone. Technical indicators such as the EMA suggest a potential golden crossover, while the MACD indicates a possible bearish crossover, highlighting the need for cautious optimism. Looking ahead, the AKT price is forming a bullish engulfing candle, suggesting a continuation of the uptrend with a flag breakout. Key resistance levels to monitor include $4.00, $4.74, and $5.93, with a target of $7.87 that could signify a new all-time high for the Akash Network. However, should the price fail to maintain its bullish trajectory, a breakdown below the $3.5239 Fibonacci level could negate the current bullish momentum. Investors are keenly watching these developments as the AKT price approaches significant milestones.

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.

The Arkreen Foundation has introduced a structured token burn plan for its $AKRE token, aimed at ensuring long-term sustainability and enhancing the ecosystem's value. This initiative will see 80% of the service fees generated from on-chain utility revenue, paid in $AKRE tokens, being burned, while the remaining 20% will be allocated to fund the operational expenses of the foundation. Notably, a significant milestone is set for November 2024, when a one-time burn of 10,394,544 $AKRE tokens will occur, representing 80% of the total service fees collected by the end of October 2024. Following this, monthly burns will be implemented based on the previous month's service fee revenue, creating a continuous cycle of token reduction. The importance of the $AKRE token burn lies in its potential to permanently decrease the total supply of $AKRE tokens, thereby enhancing their value as a utility token. By aligning the burn plan with genuine on-chain green asset growth, Arkreen ensures that the utility of its token remains sustainable and reflective of the ecosystem's external value capture. This initiative is a critical step in Arkreen's mission to establish a decentralized renewable energy network and promote inclusive climate action, positioning $AKRE as a key player in the global push for carbon neutrality. As a utility token, $AKRE plays a vital role in facilitating transactions within Arkreen's ecosystem, including the issuance and trading of tokenized renewable energy certificates and green energy assets. The dual approach to value creation—supply-side and demand-side—ensures that as renewable energy activities increase, so does the intrinsic value of $AKRE. The foundation's commitment to burning tokens not only incentivizes climate-positive actions but also supports the economic sustainability of its decentralized green asset network. Stakeholders are encouraged to stay updated on the upcoming burn events and the ongoing developments within the Arkreen ecosystem.