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Last night, we released our first LLaMA-2 fine-tune, which achieved state-of-the-art results on the MMLU and BigBench Hard benchmarks. The model is open source and can be downloaded—and liked—directly from Hugging Face at the link below.
This is an open version of an AI assistant similar to ChatGPT. It can be fine-tuned or run locally for research purposes. A demo is also available at the following link.
A few important details:
What makes our work unique? We focused on careful data cleaning, an essential part of a scientific approach to data analysis. Rather than cleaning the data in a single pass, we kept improving the process iteratively.
One key step toward better results was removing standard responses from larger AI models, such as “Sorry, as an AI assistant I cannot...”, from the dataset. After that, our model achieved the best results among all available 7-billion-parameter models.
The development team includes members of DSML KZ:
More technical details are available in the blog post about the model's release.
Arbuz.kz has launched Arbuz Chef, a ChatGPT-based bot that recommends dishes and recipes. Each recipe comes with a set of products that can be added to the cart. For now, the feature is available through the Friends loyalty program on iOS and the web.
Project initiator Alibek Utyubayev, Analytics Lead at Arbuz.kz, shared these insights:
Admission to NU is not based on UNT results. Applicants must take the international SAT or the university's NUET exam and submit an IELTS overall score of at least 6.5, with a minimum of 6.0 in each section.
We selected two programs at NU:
Average applicant: IELTS 7.3; SAT Reasoning 1443. The program places greater emphasis on computer science fundamentals and partly covers data science. Core courses: Programming for Scientists and Engineers; Performance and Data Structures; Discrete Mathematics; Calculus I–II; Linear Algebra with Applications; Probability; Computer Systems and Organization; Programming Languages; Algorithms; Artificial Intelligence; Database Systems; Software Engineering.
Average applicant: IELTS 7.2; SAT Reasoning 1395. The program focuses on mathematical foundations and proofs of theories underlying data science. Core courses and electives: Discrete Mathematics; Calculus I–II; Linear Algebra with Applications; Probability; Time Series Analysis; Statistical Programming; Statistical Learning (Master's); Regression Analysis; Nonlinear Optimization; Mathematical Statistics; Numerical Methods with Applications; Advanced Linear Algebra; Stochastic Processes; Stochastic Calculus; Advanced Linear Algebra.
Alongside their core subjects, students can take electives from different departments—including Computer Science, Political Science, Economics, and Nursing—regardless of their major.
Tuition information: Most students study on grants, but paid study is also available at NU. Bachelor's programs cost approximately 9,039,000 tenge, or $23,000, per year.
Great news from Kazakhstani startup Cerebra. The company, which develops AI for neuroradiology and provides automated diagnosis of ischemic and hemorrhagic stroke, was invited to join MedTech Innovator, the largest international medical-technology accelerator.
MedTech Innovator is more than a leading medtech startup accelerator: it aims to improve patients' quality of life by supporting and developing companies that are transforming healthcare. The accelerator's portfolio already includes 509 graduates, more than 200 FDA approvals and clearances, and approximately $6.8 billion in project funding.
Through the accelerator, Cerebra received mentorship from Zimmer Biomet, a global medical-equipment company with more than a century of history.
Cerebra founder Doszhan Zhusupov nevertheless emphasizes the need for greater support at home. We hope the company's future success becomes an important example for Kazakhstan's IT community and encourages stronger government involvement in supporting innovative projects.
UNT subjects: Mathematics + Computer Science. The minimum UNT score to apply for a grant is 80.
The program places greater emphasis on mathematics and data analysis. Core courses: Calculus (1, 3); Linear Algebra; Discrete Maths; Ordinary Differential Equations; ICT Algorithms and Programming (1, 2); Database Management Systems (1, 2); Intro to Data Analysis; Intro to Probability; Statistics (1, 2); Modern Regression Analysis (1, 2); Special Topics of Data Science; Testing of Statistical Hypotheses; Data Wrangling and Visualization.
The program places greater emphasis on IT development. Core courses: Mathematics for Computer Science (1, 2); Discrete Maths; Linear Algebra; Intro to Algorithms; Information & Communication Technologies; Advanced Algorithms; Probability & Mathematical Statistics; Digital Design; Computer Architecture; Intro to Machine Learning; Data Analysis Systems; Software Engineering; Computer Vision; Deep Learning. Tracks were also introduced recently, including a Data Science & AI track.
Tuition information: Annual tuition at SDU for the selected programs is 1,680,000 tenge.
