Azure / synthetic-qa-generationLinks
This hands-on lab aims to alleviate some of that headache by demonstrating how to create/augment a QnA dataset from complex unstructured data, assuming a real-world scenario. The sample aims to be step-by-step for developers and data scientists, as well as those in the field, to try it out with a little help.
â55Updated 4 months ago
Alternatives and similar repositories for synthetic-qa-generation
Users that are interested in synthetic-qa-generation are comparing it to the libraries listed below
Sorting:
- Testing DeepSpeed integration in đ¤ Accelerateâ11Updated 3 years ago
- â20Updated last year
- The Universe of Evaluation. All about the evaluation for LLMs.â227Updated last year
- Benchmarking library for RAGâ224Updated last month
- [ACL 2024] LangBridge: Multilingual Reasoning Without Multilingual Supervisionâ93Updated 10 months ago
- Sakura-SOLAR-DPO: Merge, SFT, and DPOâ116Updated last year
- evolve llm training instruction, from english instruction to any language.â119Updated last year
- Performs benchmarking on two Korean datasets with minimal time and effort.â43Updated 3 weeks ago
- SECOM: On Memory Construction and Retrieval for Personalized Conversational Agents, ICLR 2025â34Updated 6 months ago
- MultilingualSIFT: Multilingual Supervised Instruction Fine-tuningâ94Updated 2 years ago
- Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper