简体中文
繁體中文
English
Pусский
日本語
ภาษาไทย
Tiếng Việt
Bahasa Indonesia
Español
हिन्दी
Filippiiniläinen
Français
Deutsch
Português
Türkçe
한국어
العربية
Abstract:After Microsoft ChatGPT and Google's Bard, Meta is joining the AI chatbot race with its own state-of-the-art foundational large language model designed to help researchers advance their work in the field of artificial intelligence.
After Microsoft ChatGPT and Google's Bard, Meta is joining the AI chatbot race with its own state-of-the-art foundational large language model designed to help researchers advance their work in the field of artificial intelligence.
This was announced last Friday, and said that it is releasing a large language model, the core software of a new AI system, to researchers, fueling the AI race as big tech companies rush to integrate the technology into their products and impress investors.
The battle for AI dominance began late last year with the launch of Microsoft-backed OpenAI ChatGPT and prompted tech heavyweights from Alphabet Inc to China's Baidu Inc to pitch in with their solutions.
However, Meta's Large Language Model Meta AI (LLaMA) isn't like ChatGPT-driven Bing at the moment as it can't yet talk to humans but will help researchers.
LLaMA, short for Large Language Model Meta AI, will be made available under a non-commercial license to researchers and organizations associated with government, civil society and academia, according to a promo blog.
The model, which Meta says requires “much less” processing power than other alternatives, is trained in 20 languages, with a focus on Latin and Cyrillic languages.
AI has reinvigorated investments into the tech industry, whose slowdown has led to mass layoffs and cuts to experimental bets.
Meta claims that LLaMA outperforms competitors who explore more parameters or variables taken into account by the algorithm. In particular, the LLaMA version with 13 billion parameters could outperform GPT-3, the recent predecessor to the model on which ChatGPT is built.
Disclaimer:
The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.
Explore GMI's robust trading platforms, including Forex, gold, oil, and indices. Learn about GMI Edge, MT4, MAM, and various account types for traders.
This article explores the concept of risk in financial markets, challenging the common perception that price volatility is the primary source of risk. It argues that the real risk lies in an investor's inability to manage and withstand these fluctuations. The discussion focuses on three key factors that determine an investor's ability to handle risk: mindset, capital, and capital management. Emphasizing the importance of proper position sizing, avoiding full margin trading, maintaining reserve funds, and strategically reinvesting profits, the article provides practical guidelines for effective capital management. It concludes that understanding and applying these principles is crucial for long-term success and sustainability in trading.
Understand forex spreads: the difference between the bid and ask prices. Learn how factors like currency pairs, market conditions, and broker choice impact your trading profits.
Major currency pairs remain steady as markets focus on German CPI data. USD maintains strength with US yields, while GBP and EUR show mixed trends.