Decentralization AI protocol Prime Intellect has launched the hybrid expert model INTELLECT-3 with 106B parameters, which is based on the GLM 4.5 Air Base model and is trained using SFT and RL. Prime Intellect completed a $15 million funding round in March this year.

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On the afternoon of January 12, 2024, the first SFT Innovation Forum was officially launched. During the meeting, the founders of zCloak Network and Solv Protocol jointly announced that they have officially become strategic partners. In November 2023, DESFT, a project jointly designed and incubated by zCloak and Solv, was spotted at the Singapore FinTech Festival, which is jointly supported by the Monetary Authority of Singapore (MAS) and the Central Bank of Ghana, which aims to help micro, small and medium-sized enterprises (MSMEs) in developing regions participate in international trade through enterprise digital identity, digital credentials and ERC3525 technology, and obtain fair, accurate and affordable Financial Service in cross-border digital economy activities. Through the Depth Cooperation in the DESFT Project, both parties agreed that zCloak's Zero-Knowledge Proof, digital identity technology and Solv Protocol's ERC-3525 standard have very good complementarity, strong combination in the development of practical applications and broad innovation space. In order to better explore the path of real-world asset tokenization, the two parties formally established a business strategic partnership to jointly expand future technical cooperation and commercial landing scenarios.

According to TechWeb's report on September 19, the domestic authoritative evaluation system Flag_ (Libra) announced the evaluation results of the latest large models on the September list. Based on the latest CLCC v2.0 subjective evaluation data set, Flag_ (Libra) September list focuses on evaluating 7 open source dialogue models that have become popular recently. Judging from the overall results, Baichuan2-13 b-chat, Qwen-7 b-chat, and Baichuan2-7 b-chat are among the best, with accuracy rates exceeding 65%. In the base model list, the objective evaluation results of Baichuan 2, Qwen, InternLM, and Aquila all surpassed the Llama and Llama2 models of the same parameter level. In the SFT model list, Baichuan 2-13 B-chat, YuLan-Chat-2-13 B, and AquilaChat-7 B rank in the top three. In both objective evaluation lists, Baichuan 2 showed excellent performance, and the basic model test surpassed Llama 2 in both Chinese and English fields. It is reported that Flag_ (Libra) is a large model evaluation system and open platform launched by Beijing Zhiyuan Artificial Intelligence Research Institute. It aims to establish scientific, fair and open evaluation benchmarks, methods and toolsets to assist researchers in comprehensively evaluating basic models and Performance of training algorithms. Flag_ The large language model evaluation system currently includes 6 major evaluation tasks, nearly 30 evaluation data sets, and more than 100,000 evaluation questions.