Patched, a Y Combinator-backed startup founded in 2023, offers revolutionary solutions for developers through AI automation of code reviews, documentation generation, and maintenance tasks. Utilizing large language models (LLMs) like Anthropic Claude and Microsoft Copilot, Patched provides customizable workflows for automating post-code submission processes such as bug fixes and code formatting. Its drag-and-drop interface allows users to create ....

Beijing Zero One Everything Technology Co., Ltd. officially announces the open-source release of the Yi-Coder series model, marking another significant advancement for the company in the field of artificial intelligence. The Yi-Coder series focuses on programming tasks, offering models with 1.5B and 9B parameter scales, with Yi-Coder-9B demonstrating exceptional performance in code generation, understanding, debugging, and completion.

AI code generation startup Cursor successfully raised $60 million in Series A funding, with investors including Andreessen Horowitz, Thrive Capital, and OpenAI. Cursor aims to simplify software development through advanced AI technology, with a platform that automatically searches for and generates programming code, significantly improving development efficiency. This funding round attracted several industry heavyweights, including Google's Jeff Dean and Meta.

Chipsight AI has announced that the GLM-4-9B and CodeGeeX4-ALL-9B models are now supported for deployment via Ollama. The GLM-4-9B is an open-source pre-trained model released by Chipsight AI, which belongs to the GLM-4 series. It demonstrates outstanding capabilities in semantics, mathematics, reasoning, coding, and knowledge in multiple aspects. The CodeGeeX4-ALL-9B is a multilingual code generation model trained based on the GLM-4-9B, which further enhances the code generation capabilities.Ol

Another significant step has been taken in the field of code generation as the Knowledge Engineering Group (KEG) at Tsinghua University and the Data Mining team have launched their latest innovative achievement: CodeGeeX4-ALL-9B. This model is part of the renowned CodeGeeX series and represents the pinnacle of multilingual code generation, setting new performance and efficiency standards for automated coding. The CodeGeeX4-ALL-9B model is a product of extensive training on the GLM-4-9B framework

The fourth-generation CodeGeeX model, developed by ZhiPu AI, has been officially released and made open source.This model is the most powerful and versatile code generation large model with parameters below 10B, having been updated every six months since the first generation was released in 2014, and is dedicated to improving code generation capabilities. CodeGeeX offers basic functions such as code completion, comments, fixes, and translation, as well as advanced features like connected Q&A, co

Nvidia, in collaboration with Hugging Face and ServiceNow, has released the StarCoder2 model. StarCoder2 can perform tasks such as code generation, completion, and debugging. The StarCoder2 series includes models with 3 billion, 7 billion, and 15 billion parameters, enabling developers to enhance their work efficiency. StarCoder2 is licensed under the BigCode Open RAIL-M license, allowing free access and usage.

iFlytek Spark V3.5 is about to be released, with a fully domestically developed computing power platform for training, greatly enhancing core capabilities such as text generation and code generation. The new version's text generation is more tailored to user needs, helping users quickly and efficiently generate professional text creative solutions. The functions of code generation, explanation, and error correction have been strengthened, helping developers quickly resolve everyday development challenges. A rich assistant center meets special requirements, such as law, emotion, medical, and online literature writing. The performance of iFlytek Spark V3.5 has significantly improved, nearly comparable to OpenAI's GPT-4, surpassing well-known products like C.

ZhiYuan Research Institute has released a code generation training dataset called TACO, aimed at providing more challenging training data and evaluation benchmarks for code generation models. TACO has advantages in terms of data scale, quality, and evaluation schemes, including a larger training and testing set, diverse problem-solving answers, and fine-grained labels. Experimental results show that current popular code generation models show significant differences compared to GPT-4 in TACO evaluations, indicating that there is still room for improvement in this field. TACO is not just a challenging...

{Point 1: iFlytek Spark has launched features such as image generation, image understanding, virtual human video generation, and code generation. Point 2: iFlytek Spark supports plugin functionalities, including document Q&A, PPT generation, and resume creation. Point 3: iFlytek Spark offers powerful code generation, explanation, and error correction capabilities to meet developer needs.}