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CS-Bench: A Dual-Language (Chinese-English) Standard for Assessing the Effectiveness of Language Models in Computer Science

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedJune 21, 202466Views0Likes0Comments
The realm of artificial intelligence has been widely influenced by the emergence of large language models (LLMs), with their potential being seen across multiple fields. However, the task of enabling these models to efficiently utilize knowledge of computer science and to benefit humanity remains a challenge. Although many studies have been conducted across various disciplines,…

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Fireworks AI has unveiled Firefunction-v2: A freely accessible weights function calling model featuring function calling capacity that matches GPT4o. Interestingly, it operates at a speed that’s 2.5 times faster and costs just a tenth of the price.

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Tech News, Technology, UncategorizedJune 21, 202458Views0Likes0Comments
Fireworks AI recently launched Firefunction-v2, an open-source function-calling model aiming to deliver superior performance in real-world applications. The model integrates with multi-turn conversations, instruction following, and parallel function calling, providing a powerful and effective solution comparable to more advanced models such as GPT-4o, but with increased speed, better functionality, and lower costs. Firefunction-v2's robustness and…

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Surpassing Human Skills: Improving Generative AI Models with Low-Temperature Sampling and Varied Data for Superior Performance

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedJune 20, 202455Views0Likes0Comments
Generative models aim to replicate the patterns in the data they are trained on, often striving to replicate human actions and results. These models strive to match human proficiency in various tasks, but there is a debate over whether these models can surpass their human trainers. A new study from researchers at Harvard University, UC…

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