🔥 Do you want an open and versatile code assistant? Today, we are delighted to introduce CodeQwen1.5-7B and CodeQwen1.5-7B-Chat, are specialized codeLLMs built upon the Qwen1.5 language model!. 🔋 CodeQwen1.5 has been pretrained with 3T tokens of code-related data and exhibits

Self-Instruct for CodeLLMs! 👀 @BigCodeProject released a new StarCoder2-Instruct, the first entirely self-aligned code LLM trained with a transparent and permissive pipeline. 🧑🏻‍💻 It used itself to generate thousands of instruction-response pairs, which were then used to

CodeLLMs are sensitive to syntactic changes in code, like editing the names of variables and types, or deleting type hints. We focus on the type prediction task. We find that by applying semantics-preserving edits to our prompts, model prediction eventually breaks…

Qwen Open Sources the Powerful, Diverse, and Practical Qwen2.5-Coder Series (0.5B/1.5B/3B/7B/14B/32B). Qwen has open-sourced the “Powerful,” “Diverse,” and “Practical” Qwen2.5-Coder series, dedicated to continuously promoting the development of open CodeLLMs. The Qwen2.5-Coder

CodeLLMs are revolutionizing programming, but current models have limitations. We’re excited to announce a novel technique for making models more robust using activation steering. If you’re interested in mechanistic interpretability for code, keep reading! 🧵.

O artigo 📚 "StarVector: Generating Scalable Vector Graphics Code from Images" apresenta o StarVector, um modelo de geração de SVG (Scalable Vector Graphics) que integra efetivamente Modelos de Linguagem de Grande Porte para Geração de Código (CodeLLMs) e modelos de visão. O

CodeT5+: Learn about the amazing work the Salesforce #AI Research team is doing with Code #LargeLanguageModels (CodeLLMs) to understand code, write code, and help #developers with state of the art performance. ➡️

Outperforming Existing Models with Multi-Pass Refinement: This AI Paper from Amazon Unveils a New Era in Code Suggestion Tools. Researchers from Amazon and the University of Oxford propose a novel approach that fine-tunes large language models of code (CodeLLMs) for the dual task

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs. Manh et al.: #Artificialintelligence #DeepLearning #MachineLearning

Introducing CodeTF, your one-stop solution for working with Code Large Language Models (CodeLLMs). CodeTF makes it easier for engineers and developers to access CodeLLM technology faster and easier. Code:

15. CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs. 🔑 Keywords: Code Understanding, Code Generation, Code Analysis, LLMs, Software Development. 💡 Category: AI Systems and Tools. 🌟 Research Objective: To evaluate and enhance code

Paper Title: "Evaluating and Aligning CodeLLMs on Human Preference". Generated below podcast on this paper with Google's Illuminate.

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs. Manh et al.: #Artificialintelligence #DeepLearning #MachineLearning

The Current Landscape of Open Source #CodeLLMs. Large Language Models ( #LLM ) are changing #codeintelligence by automating bug detection, code generation, and optimization. While proprietary solutions dominate, they limit access for indie developers. Open-source options like

CodeLLMs are redefining how we think about scale in infrastructure & network automation. This blog from Itential's Ankit Bhansali explores the shift from headcount to hypercode — and why it matters for any team modernizing network operations with AI. 📖

Qwen2.5-Coder: Open-source CodeLLMs redefining coding AI! . 🔹 Strong coding, reasoning & math abilities.🔹 6 sizes (0.5B–32B) for diverse needs.🔹 92 languages, 128K tokens context. Perfect for code assistance, artifact generation & more! . #AI #OpenSource #qwen

@archiexzzz great addition ! thanks for taking up. curious, if you vibe coded collab with codeLLMs ?.

How does WizardCoder outperform other code LLMs on HumanEval and HumanEval+? Find out in this blog article: .#WizardCoder #CodeLLMs #HumanEval #coding #ArtificialIntelligence #Python #codeGeneration.#SoftwareDeveloper #aimodels .

On my way to @ICSEconf. I will be giving a #technicalBreifing on #PEFT for #CodeLlms on April 18th, specifically reflecting on our works beyond empirical studies.