Collateral Network (COLT) has stirred the crypto market with its historical presale, which is destined for 3500% growth. Collateral Network (COLT) has entered the crypto world to streamline the process of borrowing and lending cryptocurrencies with a unique business roadmap. Meanwhile, Litecoin (LTC) and Ripple (XRP) have also found market support to undertake developmental activities.

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Litecoin (LTC) Braves Market Bears

Litecoin (LTC) has managed to perform strongly amid the prevailing bearish conditions. The key reason behind this positive performance is an increase in the adoption of Litecoin (LTC). Subsequently, the hash rate of Litecoin (LTC) has also jumped.

Recently, Litecoin (LTC) started its Litecoin Card Program across Europe. Litecoin (LTC) was created with the specific goal of addressing the shortcomings of the Bitcoin network, such as transaction speed, scalability, and high fees.

The price of Litecoin (LTC) has risen by more than 1% in the last 24 hours at the time of writing. However, it has fallen by 9% on the monthly chart. Consequently, Litecoin (LTC) currently trades at $90.06, which is 78.19% below its all-time high of $412.96.

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Investors Increase Ripple (XRP) Accumulation

As the final verdict in the Ripple (XRP) versus SEC lawsuit is around the corner, the crypto community is betting in favor of the blockchain network. Many prominent personalities have opined that Ripple (XRP) will emerge victorious in this legal battle because SEC’s approach against cryptocurrencies has been arbitrary.

Ripple (XRP) is a digital currency that was created to allow expeditious international payments. Ripple (XRP) focuses on integration with existing financial systems, and becoming an attractive choice for banks worldwide.

Currently, Ripple (XRP) is ranked 6th by market capitalization. The price of Ripple (XRP) has suffered a fall of 8% in the last 30 days. As a result, Ripple (XRP) is available to trade at $0.536, which is 86.04% below its all-time high of $3.84.

Collateral Network (COLT) Makes Way For 35x Return On Investments

Collateral Network (COLT) is a blockchain-powered new-age crowdlending platform that connects lenders and borrowers. On Collateral Network (COLT), anyone can use physical assets and unlock liquidity from them in order to receive loans. People can secure loans against their tangible assets on Collateral Network (COLT) platform within 24 hours.

Several assets can be mortgaged on this cross-chain network, such as fine wines, real estate, watches or even whiskey which will then be minted into fractionalised NFTs representing the asset which lenders will lend small amounts of money to in order to raise the loan funds at an agreed interest rate and time scale. Borrowers will then repay the loan to the lenders once raised where the NFT will then be burned and asset returned. But if this fails, the asset is sold at auction to recoup the lenders’ funds.

The Collateral Network (COLT) usability is not restricted by geographical boundaries. Borrowers and lenders from various parts of the world can mutually finalize the terms of the loans on Collateral Network (COLT). The market value of the mortgaged physical assets is determined by the internal team of Collateral Network (COLT) upon authentication. The platform is equipped with a cutting-edge 2FA security feature, artificial intelligence, and audited smart contracts to seamlessly execute the lending-borrowing processes.

COLT tokens will run the ecosystem of the Collateral Network, which has three elements: Auctions, Crowdlending and Marketplace. Currently, you can lock your presale COLT tokens at just $0.01. According to experts, this is the best time to buy COLT tokens as their price is expected to rise by 3500%, to $0.35, during presale.

Presale COLT tokens come with exclusive benefits like access to the VIP members club and 50% bonus tokens. Only 38% of the total 1.4 billion COLT tokens will be sold during the presale of the network.

Find out more about the Collateral Network presale here:

Website: https://www.collateralnetwork.io/

Presale: https://app.collateralnetwork.io/register

Telegram: https://t.me/collateralnwk

Twitter: https://twitter.com/Collateralnwk

Generative Pre-trained Transformer (GPT), a type of language model that uses deep learning to generate human-like, has moved into finance at scale. Yet, BloombergGPT has been born: “Bloomberg today released a research paper detailing the development of BloombergGPT, a new large-scale generative artificial intelligence (AI) model. This large language model (LLM) has been specifically trained on a wide range of financial data to support a diverse set of natural language processing (NLP) tasks within the financial industry.”  According to Bloomberg, “BloombergGPT outperforms similarly-sized open models on financial NLP tasks by significant margins — without sacrificing performance on general LLM benchmarks”. AI is taking over this world.

Recent advances in Artificial Intelligence (AI) based on LLMs have already demonstrated exciting new applications for many domains. However, the complexity and unique terminology of the financial domain warrant a domain-specific model. BloombergGPT represents the first step in the development and application of this new technology for the financial industry. This model will assist Bloomberg in improving existing financial NLP tasks, such as sentiment analysis, named entity recognition, news classification, and question answering, among others. Furthermore, BloombergGPT will unlock new opportunities for marshalling the vast quantities of data available on the Bloomberg Terminal to better help the firm’s customers, while bringing the full potential of AI to the financial domain.

For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning, and NLP in finance. Today, Bloomberg supports a very large and diverse set of NLP tasks that will benefit from a new finance-aware language model. Bloomberg researchers pioneered a mixed approach that combines both finance data with general-purpose datasets to train a model that achieves best-in-class results on financial benchmarks, while also maintaining competitive performance on general-purpose LLM benchmarks.

To achieve this milestone, Bloomberg’s ML Product and Research group collaborated with the firm’s AI Engineering team to construct one of the largest domain-specific datasets yet, drawing on the company’s existing data creation, collection, and curation resources. As a financial data company, Bloomberg’s data analysts have collected and maintained financial language documents over the span of forty years. The team pulled from this extensive archive of financial data to create a comprehensive 363 billion token dataset consisting of English financial documents.

This data was augmented with a 345 billion token public dataset to create a large training corpus with over 700 billion tokens. Using a portion of this training corpus, the team trained a 50-billion parameter decoder-only causal language model. The resulting model was validated on existing finance-specific NLP benchmarks, a suite of Bloomberg internal benchmarks, and broad categories of general-purpose NLP tasks from popular benchmarks (e.g., BIG-bench Hard, Knowledge Assessments, Reading Comprehension, and Linguistic Tasks). Notably, the BloombergGPT model outperforms existing open models of a similar size on financial tasks by large margins, while still performing on par or better on general NLP benchmarks.