The LLM-EVAL method evaluates multiple dimensions of evaluation, such as content, grammar, relevance, and appropriateness. [2023/04] Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation. Tao Fang et al. arXiv. [paper] The results of evaluation demonstrate th...
- AI Language Services on macOS: Utilize AI-powered tools for grammar correction, summarization, and more across various macOS applications in multiple languages. - Superior Performance with OmniQuant: Benefit from the advanced OmniQuant quantization process, which preserves the model's weight distributi...
The LLM-EVAL method evaluates multiple dimensions of evaluation, such as content, grammar, relevance, and appropriateness. [2023/04] Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation. Tao Fang et al. arXiv. [paper] The results of evaluation demonstrate th...
Title: Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models 论文简介: 本文由LMU Munich的Center for Information and Language Processing提出了一种名为“CoThought”的预训练流程,通过利用大型语言模型(LLMs)的“Chain of Thought”功能,高效地训练较小的“Baby”语言模型...
16.Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet? 17.CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text 18.Improving LLM Code Generation with Grammar Augmentation 19.In-Context Sharpness as Alerts: An Inner Repres...
- AI Language Services on macOS: Utilize AI-powered tools for grammar correction, summarization, and more across various macOS applications in multiple languages. - Superior Performance with OmniQuant: Benefit from the advanced OmniQuant quantization process, which preserves the model's weight distributi...
DotaMath: "DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning" [2024-07] [paper] CIBench: "CIBench: Evaluating Your LLMs with a Code Interpreter Plugin" [2024-07] [paper] PyBench: "PyBench: Evaluating LLM Agent on various real-world coding...
Error CorrectionPlease correct the syntax error and restructure the sentence: "Went to the store me and my friend."The given sentence "Went to the store me and my friend." is incorrect due to a syntax error and it lacks a subject. The corrected version with proper grammar and sentence str...
async def generate_completion_from_local_llm(llm_model_name: str, input_prompt: str, number_of_tokens_to_generate: int = 100, temperature: float = 0.7, grammar_file_string: str = None): logging.info(f"Starting text completion using model: '{llm_model_name}' for input prompt: '{inpu...
Apart from using guardrails to verify the output of LLMs, we can also directly steer the output to adhere to a specific grammar. An example of this is Microsoft’s Guidance. Unlike Guardrails which imposes JSON schema via a prompt, Guidance enforces the schema by injecting tokens that make ...