- SCB DataX Co., Ltd is a pioneering force in leveraging data science, AI, and Large Language Models (LLMs) to enhance competitiveness in the financial sector.
- Their groundbreaking research on AI, LLMs, and Fintech has gained global recognition, showcased at prestigious international seminars.
- Three notable studies include: Birbal model’s efficiency enhancement, numerical reasoning in headline generation, and predicting ESG event impacts.
- These studies, authored by Senior AI Scientists, highlight DataX’s commitment to innovation and excellence in AI-driven finance.
Main AI News:
SCB DataX Co., Ltd (DataX), an integral part of the SCBX Group’s portfolio, is at the forefront of leveraging data science, artificial intelligence (AI), and Large Language Models (LLMs) to drive competitiveness. Through a strategic fusion of AI, Big Data, and LLMs, their mission is clear: to revolutionize financial and banking products and services for enhanced efficiency and precision. Widely recognized for their pioneering contributions, DataX’s research articles on AI, LLMs, and Fintech have commanded global attention, prominently featured at esteemed international gatherings such as the Data-centric Machine Learning Research (DMLR) Workshop at ICLR 2024 in Vienna, Austria; the International Workshop on Semantic Evaluation (SemEval-2024) in Mexico City, Mexico; and Financial Technology and Natural Language Processing (FinNLP) events. This recognition not only underscores DataX’s expertise but also highlights the depth of knowledge within their team, perfectly aligning with the SCBX Group’s overarching vision of spearheading new technologies to secure long-term competitiveness and solidify its position as a premier regional financial technology conglomerate.
In the realm of groundbreaking research, SCB DataX Co., Ltd has presented three notable studies, each pushing the boundaries of innovation and insight:
- “Birbal: An Efficient 7B Instruct-Model Fine-Tuned with Curated Datasets”: Unveiled at the Data-centric Machine Learning Research (DMLR) Workshop during ICLR 2024 in Vienna, Austria, DataX showcased their revolutionary Birbal model. This cutting-edge model harnesses Mistral-7B technology and underwent further enhancement through rigorous training on a single RTX 4090 for 16 hours. The outcome was extraordinary, boasting a remarkable 35% enhancement over baseline performance. Additionally, the introduction of Qwen-14B, another noteworthy model capable of producing high-quality commands across diverse tasks, underscored DataX’s commitment to innovation. Notably, Mr. Pawan Rajpoot, a Senior AI Scientist at DataX, co-authored this seminal study.
- “Team NP_PROBLEM at SemEval-2024 Task 7: Numerical Reasoning in Headline Generation with Preference Optimization”: Presented at the International Workshop on Semantic Evaluation (SemEval-2024) in Mexico City, Mexico, this research delves into numerical reasoning within headline generation. Achieving an impressive numerical accuracy surpassing 73.49%, the study not only dissects numerical data but also scrutinizes system design and prevalent error patterns. By seamlessly integrating numerical analysis into Large Language Models (LLMs), the researchers illuminate both the potential and challenges associated with crafting informative headlines. Co-authored by Mr. Pawan Rajpoot and Mr. Nut Chukamphaeng, both esteemed Senior AI Scientists at DataX, this study represents a significant contribution to the field of AI and language processing.
- “Adapting LLM to Multi-lingual ESG Impact and Length Prediction using In-context Learning and Fine-Tuning with Rationale”: Unveiled at the Financial Technology and Natural Language Processing (FinNLP) event during COLING 2024, this research tackles a pivotal domain: predicting the impact and timing of environmental, social, and governance (ESG) events extracted from news articles. Leveraging LLMs, including GPT-4 with In-context Learning (ICL) and Mistral (7B) LLM, SCB DataX achieved unparalleled accuracy in predictions. Spearheaded by Mr. Pawan Rajpoot, a distinguished Senior AI Scientist at DataX, this study represents a significant milestone in the fusion of AI and finance.
Conclusion:
SCB DataX Co., Ltd’s groundbreaking research signifies a pivotal shift in the financial technology landscape. By pushing the boundaries of AI and data science, they not only enhance their own competitive edge but also contribute significantly to shaping the future of financial services. Investors and stakeholders should take note of DataX’s innovative strides as they continue to redefine industry standards and pioneer new horizons in AI-driven finance.
