Baichuan Large Model Official Website, Baichuan AI - Converging Global Knowledge, Crafting Masterful Writing
Introduction to Baichuan Large Model
Established in April 2023, Baichuan AI was founded by former Sogou CEO Wang Xiaochuan. In less than 100 days, Baichuan AI released the open-source and free Baichuan-7B and Baichuan-13B large models, ranking among the top in multiple authoritative evaluation lists.
Baichuan Large Model Official Website:https://www.baichuan-ai.com/home
Baichuan2-53B Officially Launched! First-time API release marks the official entry into the commercial sector. Additionally, the model's mathematical and logical reasoning capabilities have significantly increased, and its handling of illusions is leading in China. Baichuan Large Model, fully upgraded yesterday!
On September 25th, Baichuan AI officially released the newly upgraded 53 billion parameter large model - Baichuan2-53B.Baichuan Large Model 2, Baichuan Large Model 13B, Baichuan Large Model GitHub, Deploy Baichuan AI Official Website, BaichuanThis time, its mathematical and logical reasoning capabilities have been notably enhanced.More importantly, through a high-quality data system and search enhancement, the illusion of Baichuan2-53B has been greatly reduced, making it the largest model with the lowest illusion problem in China.Moreover, as one of the first large model enterprises to pass the record, Baichuan AI has also opened the Baichuan2-53B API interface.This means Baichuan AI is officially entering the To B field, thus commencing its commercialization process.Leading in Illusion Handling in ChinaWhat's most noteworthy is that the newly upgraded Baichuan2-53B has already taken the lead in "illusion" handling in the domestic industry.In simple terms, "illusion" refers to the LLM's tendency to make serious and unfounded statements without any known facts to support them.Despite GPT-4's outstanding performance in various tasks, it is also unable to escape this curse.So, why do large models experience "illusions"?In April, OpenAI co-founder and research scientist John Schulman elaborated on the difficult problems that large models face in his speech at UC Berkeley.In Schulman's view, the black box of LLMs hides a "knowledge graph." If the architecture lacks knowledge, teaching the large model (i.e., behavior cloning) through SFT (supervised fine-tuning) actually teaches it to produce illusions.How does Baichuan AI achieve industry-leading "illusion handling" in large models?In terms of high-quality data construction, Baichuan2-53B has independently developed a set of data quality systems.Classify data based on low and high quality standards to ensure Baichuan2-53B always uses high-quality data for pre-training.Additionally, in terms of information acquisition, Baichuan2-53B has upgraded multiple modules, including instruction intent understanding, intelligent search, and result enhancement, among other key components.This comprehensive system, by deeply understanding user instructions, precisely drives the search of query words, and ultimately combines with large language model technology to optimize the reliability of model result generation, achieving more accurate and intelligent model answer results, and reducing model illusions.