The DePIN Explorer - DePIN Scan

Retrieval-augmented generation (RAG) has emerged as a pivotal method for integrating large language models (LLMs) into specialized business applications, enabling the infusion of proprietary data into model responses. Despite its effectiveness during the proof of concept (POC) phase, developers often face significant accuracy drops when transitioning RAG into production. This issue is particularly pronounced during the retrieval phase, where the aim is to accurately fetch the most relevant context for a given query, a metric known as context recall. This article delves into strategies for enhancing context recall by customizing and fine-tuning embedding models, ultimately improving RAG's performance in real-world applications. RAG operates in two main steps: retrieval and generation. In the retrieval phase, the model converts text into vectors, indexes, retrieves, and re-ranks these vectors to identify the top matches. However, failures in this phase can lead to missed relevant contexts, resulting in lower context recall and less accurate generation outputs. One effective solution is to adapt the embedding model, which is designed to understand relationships between text data, to produce embeddings that are specific to the dataset being used. This fine-tuning allows the model to generate similar vectors for similar sentences, enhancing its ability to retrieve context that is highly relevant to the query. To improve context recall, it is essential to prepare a tailored dataset that reflects the types of queries the model will encounter. This involves extracting a diverse range of questions from the knowledge base, paraphrasing them for variability, and organizing them by relevance. Additionally, constructing an evaluation dataset helps assess the model's performance in a realistic setting. By employing an Information Retrieval Evaluator, developers can measure metrics like Recall@k and Precision@k to gauge retrieval accuracy. Ultimately, fine-tuning the embedding model can lead to substantial improvements in context recall, ensuring that RAG remains accurate and reliable in production environments.

On November 22, 2024, the Sui Foundation announced a strategic partnership with Franklin Templeton Digital Assets, aimed at driving innovation within the Sui blockchain ecosystem. This collaboration is set to enhance the development of Sui, a Layer 1 and smart contract platform, by creating value opportunities for builders of blockchain-based solutions. Jameel Khalfan, Head of Ecosystem Development at Sui, highlighted that the partnership is a validation of Sui's technology, which was inspired by challenges in decentralized finance that Franklin Templeton is addressing. Franklin Templeton Digital Assets has been actively involved in blockchain technology for several years, focusing on building solutions, running node validators, and developing investment strategies. Their dedicated digital assets research team employs tokenomic analysis and data science insights to guide product development and investment decisions. Tony Pecore, SVP and Director of Digital Asset Management at Franklin Templeton, expressed excitement about the advancements being made by the Sui team, noting that blockchain technology has often faced technical limitations despite its growing interest. The Sui ecosystem is already home to innovative projects such as DeepBook, a decentralized finance solution akin to a central limit order book, and Karrier One, which supports a decentralized mobile network. Additionally, Sui has recently launched native USDC, providing users with direct access to a widely used stablecoin while mitigating risks associated with bridged assets. As a secure and scalable platform, Sui is positioning itself as a premier destination for application builders across various sectors, including gaming, DeFi, and tokenized securities.

The cryptocurrency market is witnessing significant developments, particularly with the Akash Network's DePIN protocol, which has recently crossed a billion-dollar market cap. This surge has led to a notable increase in the Akash price, reflecting growing investor confidence. Meanwhile, Solana is on the brink of achieving a new all-time high (ATH), with its market cap inflow allowing it to surpass BNB. The excitement surrounding Solana's impending ATH is not just a win for the platform but also for the broader cryptocurrency ecosystem, showcasing its potential for mainstream adoption and robust development activity. In the realm of decentralized finance (DeFi), Lunex Network has emerged as a promising new player. This hybrid exchange offers a unique solution by facilitating cross-chain trading with over 50,000 trading pairs and a zero-fee structure. Lunex Network aims to simplify DeFi for both novice and experienced traders, making it more accessible to retail investors. With an impressive liquidity of $2.95 million already secured, Lunex is positioning itself as a key facilitator in the DeFi space, potentially democratizing access to this lucrative market. The rise of Akash Network, Solana, and Lunex Network highlights a broader trend towards decentralized innovation beyond traditional finance. Akash's recent 10% surge in the last 24 hours and a remarkable 36% increase over the past week emphasize its potential to disrupt conventional cloud services. As the demand for decentralized, trustless platforms grows, these tokens present exciting investment opportunities. With Solana nearing its ATH and Akash's momentum, investors are keenly watching these developments, while Lunex Network continues to attract attention with its DeFi offerings.

**Robot Pump Ra Mắt Trên IoTeX Mainnet** Tin tức từ BlockBeats vào ngày 21 tháng 11 cho biết rằng nền tảng ra mắt công bằng cho các token meme, Robot Pump, đã chính thức có mặt trên mạng chính IoTeX. Người dùng giờ đây có thể ra mắt và giao dịch các đồng meme trên blockchain IoTeX thông qua Robot Pump. IoTeX, một hệ sinh thái hàng đầu trong cuộc đua DeFi nóng bỏng, liên quan đến DePIN và các hướng AI, RWA liên quan. Robot Pump tuyên bố sẽ thúc đẩy sự phát triển của văn hóa meme 'deep-tech' trong các lĩnh vực DePIN và AI, RWA liên quan. Đồng sáng lập và CTO của IoTeX, Qevan, đã đề cập rằng nhiều meme dựa trên các bản đồ thế giới thực. So với các rào cản kỹ thuật cao và chu kỳ xây dựng dài của các dự án DePIN, AI và RWA, văn hóa meme, với các rào cản gia nhập thấp, tốc độ nhanh và nền tảng thị trường rộng lớn, cho phép công chúng trải nghiệm hiệu quả hơn quá trình chuyển đổi Crypto của ảnh hưởng thế giới thực. Đáng chú ý là hệ thống danh tính DePIN trên chuỗi đầu tiên của IoTeX, ioID, đã chính thức ra mắt và được tích hợp vào Robot Pump hôm nay. ioID sẽ biến các thiết bị vật lý thành tài sản trên chuỗi, với mỗi thiết bị vật lý có một ID trên chuỗi duy nhất để xác minh. Sự kết hợp giữa Robot Pump và ioID có thể cung cấp một con đường cho việc xác minh quyền sở hữu hợp pháp của các meme được ánh xạ thế giới thực.