Educational recommendation lies in constructing a recommend system that can process the interactions between students and questions.

Firstly, many machine learning models use optimization algorithms which require access to derivatives of the model.

A transcompiler, also known as source-to-source translator, is a system that converts source code from a high-level programming language (such as C++ or Python) to another. Transcompilers are primarily used for interoperability, and to port codebases written in an obsolete or deprecated language (e.g.

A contiguous chunk of lines to search for in the existing sourcecode 4. The dividing line: =======5. The lines to replace into the source code6. The end of the replace block: >>>>>>> REPLACEHere is an example: '''python ### mathweb/flask/app.py<<<<<<< SEARCH from flask import Flask ======= import math from flask import Flask >>>>>>> REPLACE ''' Please note that the * SEARCH/REPLACE * edit REQUIRES PROPER INDENTATION.If you would like to add the line ' print(x)', you mustfully write that out, with all those spaces before the code!Wrap the * SEARCH/REPLACE * edit in blocks '''python...'''.The summary of the key differences between the trajectories should bein the thinking part.

Advancements in LLMs have enhanced task automation in software engineering; however, current evaluations primarily focus on natural language tasks, overlooking code quality. Most benchmarks prioritize high-level reasoning over executable code and real-world performance, leaving gaps in understanding true capabilities and risks associated with these models in production. To address this issue, we propose MERA Code, a new addition to the MERA benchmark family, specifically focused on evaluating code for the latest code generation LLMs in Russian. This benchmark includes 11 evaluation tasks that span 8 programming languages. Our proposed evaluation methodology features a taxonomy that outlines the practical coding skills necessary for models to complete these tasks. The benchmark comprises an open-source codebase for users to conduct MERA assessments, a scoring system compatible with various programming environments, and a platform featuring a leaderboard and submission system. We evaluate open LLMs and frontier API models, analyzing their limitations in terms of practical coding tasks in non-English languages. We are publicly releasing MERA to guide future research, anticipate groundbreaking features in model development, and standardize evaluation procedures.

Ruby survives on affection, not utility. My little theory is that the concept of "imprinting" in psychology can just as easily be applied to programming: Much as a baby goose decides that the first moving life-form it encounters is its parent, embryonic programmers form ineradicable attachments to the patterns and quiddities of their first formative language. Because if/when the machines take over, we should at least speak their language. For many people, that language is Ruby. It's often credited with making programming "click"; imprintees speak of it with a certain indebtedness and affection.

Firstly, many machine learning models use optimization algorithms which require access to derivatives of the model.

Tangent is the first AD framework using SCT in a dynamically typed language.

A transcompiler, transpiler, or source-to-source compiler, is a translator which converts between programming languages that operate at a similar level of abstraction.