#llm4code resultados de búsqueda
I read a post today that exactly resembled typical developer behavior Asking same question to chatgpt,Claude,Gemini,Deepseek pasting all their responses and then deciding the best code by opening the code in 5 different editors😅 #LLM4Code #agenticAi
Hey,most of us do vibe coding today While the llm writes code what u prefer Looking at the changes😊 Scrolling reels😅 Which category you are? #vibecoding #LLM4Code #Development
A prompt that will save you hours: "Break this plan into units that can be implemented within one hour by a junior developer" #AI #LLMs #LLM4Code #ClaudeCode #AIAssistedEngineering
Vibe coding’ is risky. A senior developer can spend days refactoring to fix technical debt, and then the business team uses Cursor to make user-requested changes without asking the senior dev to review. The result is spaghetti code and the cycle never ends. #LLM4Code #vibecoding
Building AI Agents with LLMs, RAG, and Knowledge Graphs Link - amzn.to/4ihl9Ti #AI #LLMs #LLM4Code #GenerativeAI #MachineLearning #DeepLearning #programming
LLM Engineer's Handbook: Master the art of engineering large language models from concept to production Link - amzn.to/3XvES7Y #LLMs #LLM4Code #DataScience #AI #MachineLearning #DeepLearning #SoftwareEngineering #programming
Ope, there it is. Time to move back to Gemini for a while. Wild times! #LLMs #LLM4Code #SoftwareEngineering developers.googleblog.com/en/introducing…
Building AI Agents with LLMs, RAG, and Knowledge Graphs Link - amzn.to/4oEcvk5 #AI #LLMs #LLM4Code #artificial_intelligence #DeepLearning #MachineLearning #DataScientist #SoftwareEngineering #programming
Prompting is an underrated skill. You think you know it, but you can do better always 🤷🏽♂️ #AIAgent #LLM4Code #LLM
LLM Engineer's Handbook Link - amzn.to/4qSrEj2 #LLMs #LLM4Code #MachineLearning #AI #artificial_intelligence #programming #DeepLearning #programming
Which LLM do you use or prefer? FOR ME! I use most for different tasks. It depends on what I'm doing or what I'm working on. #LLMs #LLM4Code #developer #DeveloperCommunity
Introducing Nova, a series of foundation models for binary/assembly code. We have also released fine-tuned models for binary code decompilation. #LLM #LLM4Code #BinaryAnalysis #Security @NanJiang719, Chengxiao Wang, Kevin Liu, @XiangzheX, Xiangyu Zhang, Petr Babkin.
ECE 🎓 | Into MERN, Web & AI — can’t stop building and experimenting 😄 Just done with a CodePen challenge <Link {LINK ="codepen.io/rama-alapati/p…" } />(CO DEV (SOME LLM) 💡) — great meeting you, DM anytime! #LetsExplore #WebDevelopment #LLM4Code
Curious about how tests can guide the entire code generation process, not just validate it afterward? 🚀 Check out TENET, our test-driven LLM agent for repository-level code generation! 🔗 Paper Link: arxiv.org/abs/2509.24148 #LLMs #Agents #LLM4Code #CodeGeneration
All LLMs including GPT-4o achieve < 30% pass@1 on real-world code completion: Check out 🐟REPOCOD, a real-world code generation benchmark: - Repository-level context - Whole function generation - Validation with test cases - 980 instances from 11 Python projects #LLM #LLM4Code
Very excited to share the 1st @llm4code workshop has attracted 170+ registrations! If you’re at @ICSEconf and interested in LLMs, pls join us on April 20, we have 24 presentations and two keynotes on Code Llama (@b_roziere) and StarCoder2 (@LoubnaBenAllal1)! #icse24 #llm4code
Building AI Agents with LLMs, RAG, and Knowledge Graphs Link - amzn.to/4oEcvk5 #AI #LLMs #LLM4Code #artificial_intelligence #DeepLearning #MachineLearning #DataScientist #SoftwareEngineering #programming
Our #LLM4Code at #icse24 paper: Semantically Aligned Question and Code Generation for Automated Insight Generation leverages the semantic knowledge of LLMs to generate targeted and insightful questions about data and the corresponding code to answer those questions. (4/7)
Wanna generate webpages automatically? Meet🧇WAFFLE: multimodal #LLMs for generating HTML from UI images! It uses structure-aware attention & contrastive learning. arxiv.org/abs/2410.18362 #LLM4Code #MLLM #FrontendDev #WebDev @LiangShanchao @NanJiang719 Shangshu Qian
🎉 Excited to announce that our paper "ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries" has won the Distinguished Paper Award at #CCS2024! I'll present tomorrow afternoon in 9-4 session at @acm_ccs. Hope to see you! #LLM #LLM4Code
@katzy_jonathan presenting our #FORGE24 paper on “An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets”! Talk to him if U are interested in the data used for training a wide range of #llm4code and their implications! @ConfForge
Two of our papers have been accepted to the #ACL2025 main conference! Try our code generation benchmark 🐟RepoCod (lt-asset.github.io/REPOCOD/) and website generation tool 🧇WAFFLE (github.com/lt-asset/Waffle)! #LLM4Code #MLLM #FrontendDev #WebDev #LLM #CodeGeneration #Security
Last week, I enjoyed a visit to Japan, where I participated in the FM+SE #Shonan seminar & gave a talk about our #LLM4Code studies in @AISE_TUDelft at the FM+SE Summit 2024 Tokyo! Big thanks to Prof. Ahmed Hassan, Jack Jiang & Kamei Yasutaka for organizing this incredible event
🚨 Preprint Alert: Empirical study of the perception and usage of LLMs in an academic software engineering project. Accepted at #LLM4Code workshop co-located with #ICSE 2024. Provides insights into the role of LLMs for SE in an academic setting. arxiv.org/abs/2401.16186
@aalkaswan1 presenting our recent @ICSEconf work with @avandeursen on “Traces of Memorisation in Large Language Models for Code” in the final ICSE session on language models and code generation! @AISE_TUDelft @serg_delft #llm #llm4code #ICSE2024
We introduce CodeARC, a new benchmark for evaluating LLMs’ inductive reasoning. Agents must synthesize functions from I/O examples—no natural language, just reasoning. 📄 arxiv.org/pdf/2503.23145 💻 github.com/Anjiang-Wei/Co… 🌐 anjiang-wei.github.io/CodeARC-Websit… #LLM #Reasoning #LLM4Code #ARC
In the Agentic AI era, tests are the new specs! 🚀Check out our TENET work on code generation, Pass@1: 69.08% (RepoCod), 81.77% (RepoEval), with +9.5% & +2.2% over top agentic baselines. Paper: arxiv.org/abs/2509.24148 #LLMs #Agents #LLM4Code #CodeGeneration @PurdueCS @cerias
Curious about how tests can guide the entire code generation process, not just validate it afterward? 🚀 Check out TENET, our test-driven LLM agent for repository-level code generation! 🔗 Paper Link: arxiv.org/abs/2509.24148 #LLMs #Agents #LLM4Code #CodeGeneration
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