Post by joitarani333 on Apr 29, 2024 20:00:55 GMT -9
Answer MTS AI InstructruK Our own benchmark MTS AI InstructruK consists of two and teste by us and our colleagues at MTS AI manually. Our benchmark was compile with the goal of comprehensively evaluating the models so all instructions are almost evenly distribute across seven classes. Information on the presente classes can be found in Table . Task Description Quantity creativeewriting Compose a text poem dialogue story openeqa.
Answer a question using general world knowlege or one search result that requires opinions and facts Restaurant Email List about the world as a whole closeeqa Answer a question aske base on text from Wikipeia that requires an answer base on reliable facts brainstorming Come up with many different answers and solutions for instructions in formation extraction Extract some information from the text answer a question base on the text summary Sum marizeshorten the text highlight the main points classification Answer a request with multiple answer options Benchmark from prompt engineers.
Also to quickly evaluate new models our prompt engineers create a separate small benchmark consisting of instructions for solving business problems and blocks covering a certain spectrum knowlege about the world a set of practical use cases as well as selecte situations relate to creativity the work of simple code paraphrasing and understanding meanings. MTSAI evaluation method InstructruK Recently the sidebyside comparison method with Chat GPT gpt. Turbo or gptturbo has been increasingly use to evaluate models. And our case was no exception we also decide to use this approach comparing our model with.
Answer a question using general world knowlege or one search result that requires opinions and facts Restaurant Email List about the world as a whole closeeqa Answer a question aske base on text from Wikipeia that requires an answer base on reliable facts brainstorming Come up with many different answers and solutions for instructions in formation extraction Extract some information from the text answer a question base on the text summary Sum marizeshorten the text highlight the main points classification Answer a request with multiple answer options Benchmark from prompt engineers.
Also to quickly evaluate new models our prompt engineers create a separate small benchmark consisting of instructions for solving business problems and blocks covering a certain spectrum knowlege about the world a set of practical use cases as well as selecte situations relate to creativity the work of simple code paraphrasing and understanding meanings. MTSAI evaluation method InstructruK Recently the sidebyside comparison method with Chat GPT gpt. Turbo or gptturbo has been increasingly use to evaluate models. And our case was no exception we also decide to use this approach comparing our model with.