Improved Code Quality: By enforcing consistency and adhering to best coding practices, AI code generation models can improve the overall quality of code. This is beneficial for both seasoned developers and newcomers to the field, making the development process more accessible. Consistency and Teamwork:...
A simple Java library for interacting with Ollama server. javallamagptlanguage-modellarge-language-modelsllmgenerative-aigen-aigenaillama2ollamallama3meta-llama UpdatedDec 17, 2024 Java Query-Based Code Analysis Engine code-analysisquery-languagelarge-language-models ...
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue—a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to ...
CasualNet is poised to serve as a benchmark for future advancements in this field, providing a rigorous testing ground for emerging AI models. 此外,本文提出一个新的因果评测数据集CausalNet。CausalNet作为新基准给模型提供了严格的测试环境。 文章链接 Cause and Effect: Can Large Language Models Truly...
commonly utilized for selecting candidate genes, knowledge-driven methods must contend with the challenge of efficiently sifting through extensive volumes of biomedical information. This work aimed to assess the utility of large language models (LLMs) for knowledge-driven gene prioritization and selection...
🔥🔥🔥Woodpecker: Hallucination Correction for Multimodal Large Language Models Paper|GitHub This is the first work to correct hallucination in multimodal large language models. ✨ 🔥🔥🔥Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM ...
Large language models are unlocking new possibilities in areas such as search engines, natural language processing, healthcare, robotics and code generation. The popularChatGPTAI chatbot is one application of a large language model. It can be used for a myriad of natural language processing tasks....
This study presents a novel framework for conducting data analytics using Large Language Models (LLMs). The proposed framework suggests the construction of prompts and interaction patterns using four fundamental constructs: meta-specifications, specifications, instructions, and prompting patterns. The ...
evaluating large language models trained on code For years, computer scientists have strived to develop sophisticated computer programs capable of understanding code, with the aim of making programming easier and more efficient. Recent advances in machine learning, particularly in the form of large ...
Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction methods lack precision due to model mismatch errors or network generalization issues. Large language models (LLMs) ha...