FinTextQA – A Long Question Answering LFQA Dataset Designed Specifically for Finance
The expansion of question answering (QA) systems powered by artificial intelligence (ai) is a result of the growing demand for ...
Tag: long
Blue Origin successfully sends tourists to the edge of space again after a long hiatus
Blue Origin is back in the space tourism game. Jeff Bezos' spaceflight company successfully took six paying customers to the ...
Understanding Long RoPE in LLM. This blog post will cover in detail… | by Matthew Gunton | May, 2024
Figure 1 of “Attention is all you need"Starting at a high level, Transformers require two inputs: token embeddings and positional ...
Bloomberg's Mike McGlone reveals why a $150,000 Bitcoin price target is a long way off
Mike McGlone, senior commodities strategist at Bloomberg Intelligence, has made a pessimistic prediction for bitcoin, emphasizing that the cryptocurrency's potential ...
How long does it take to learn Forex trading?
It is almost impossible to say with certainty how many questions there are about Forex trading. It is no wonder ...
Google's TransformerFAM revolutionizes long context processing
Google researchers have introduced TransformerFAM, a novel architecture that will revolutionize long context processing in large language models (LLM). By ...
CMU Researchers Introduce TriForce: A Hierarchical Speculative Decoding AI System That Is Scalable to Long Sequence Generation
With the widespread implementation of large language models (LLMs) for long content generation, there is a growing need for efficient ...
Hedge Fund Goes Long Bitcoin, Short MicroStrategy: Details
Kerrisdale Capital, a hedge fund, today revealed a nuanced investment thesis: take long positions in bitcoin while simultaneously taking a ...
Long Island, New York school district addresses youth mental health crisis with opening of new wellness center
Baldwin, New York – Young people's mental health is a crisis across the country. Many struggle to manage the stress ...
BurstAttention: An innovative machine learning framework that transforms efficiency in large language models with an advanced distributed attention mechanism for extremely long sequences
Large language models (LLMs) have revolutionized the way computers understand and generate human language in machine learning and natural language ...
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