#ai4code search results
The #LLMs for Code Seminar is launching this week! 🧠 Join us online: bit.ly/LLMs-for-Code-… #AI4Code #LLMs4Code
Please review the flyer for the job description and requirements, and apply online if you feel qualified and interested. Please reach out to me directly (after applying online) only if you have an established track record in the research area of #AI4Code.
Slow Friday in the SF Bay Area? Join us at the berkeleyhaasaisummit.com 👇 I’ll give a talk on “AI meets Source Code: status quo and outlooks”! #AI4Code #LLM
Microsoft Research India is hiring for full-time positions in Bengaluru! Please reach out if you are working in #AI4Code. microsoft.com/en-us/research…
New models, same struggle! DeepSeek-R1, GPT-4.5 Preview, and Claude 3.7 Sonnet still show low performance on realistic coding tasks (RepoCod-Lite), with Pass@1 of 4.5%, 4.0%, and 3.5%. Top models just reach 10% Pass@1. We need better approaches for code generation! #AI4Code #LLM
Very excited to be hearing Michele Catasta (@pirroh) talk about #AI4Code at the Synapse #AI Symposium. @bendingspoons
After 36 hours of travel, finally at Porto de Galinhas, Brazil to attend @AIwareConf @FSEconf . I'll be here throughout the conference and would love to discuss #AI4Code & #AI4SE in general. Also, share our learnings from building GitHub Copilot inside VS. DMs are open.
Finally, check out the appendix! There's a few cool little bonus results in there that we couldn't fit in the main paper. This project was a labor of love and we really tried to be as comprehensive as possible - if you work in #ai4code, I hope you enjoy this knowledge dump!
OctoPack: Instruction Tuning Code Large Language Models Presents HumanEvalPack, expanding the HumanEval benchmark to a total of 3 coding tasks (Code Repair, Code Explanation, Code Synthesis) across 6 languages (Python, JavaScript, Java, Go, C++, Rust). arxiv.org/abs/2308.07124
#ai4code peeps at #ICLR2024: come chat self-repair with me at 10:45 AM on Friday, May 10! I'll be presenting the camera-ready version of this fan favorite from last year... now with even more data! Keep reading for a sneak peek of the results 👇
Demystifying GPT Self-Repair for Code Generation paper page: huggingface.co/papers/2306.09… Large Language Models (LLMs) have shown remarkable aptitude in code generation but still struggle on challenging programming tasks. Self-repair -- in which the model debugs and fixes mistakes…
New Code Mentor launch! 🚀 Fetch and manipulate your data easily using natural language outsystems.com/product-update… #AI4Code
My summary on progresses in the area of AI4Code - applying AI/ML techniques to source code centric usecases - appears in the March 2021 issue of @acm_sigai's AI Matters magazine, out now. 🔗 Paper: sigai.acm.org/static/aimatte… Full issue: sigai.acm.org/aimatters/7-1.… #AI #ML #AI4Code
Tool Augmented Language Models. The #AI4Code reading group is also back in July with Aaron Parisi, #Google researcher and lead author of the #TALM paper👇 arxiv.org/pdf/2205.12255…
🔑📝Toward Code-Aware AI Models for Code @msrconf by @baishakhir. She shared results of models that beat state-of-the-art models already with zero-shot. Promising results for good results with lower costs. 🙌🌱 #MSR2023 #AI4code
Yo! Check out my new "incomplete" repo for the #ai4code kaggle competition by @google and @theteamatx! "Understand the relationship between code and comments in Python notebooks" View the repo at: github.com/Pranshu-Bahadu… @kaggle Competition at: kaggle.com/competitions/A…
Introducing SemCoder, a semantic-aware Code LLM excelling in code generation and execution reasoning. Trained with high-quality data and novel way of aligning execution, only 6.7B model is outperforming GPT3.5 and CodeLlama 34B. link: arxiv.org/pdf/2406.01006 #LLMs, #AI4Code
The #LLMs for Code Seminar is about to launch! bit.ly/LLMs-for-Code-… Our first speaker is Jacob Andreas from MIT (abstract below). Register for his talk at the link in the comments. @jacobandreas #AI4Code #AI4SE
Coding time! @NeurIPSConf from @IBMResearch and @RedHat on coding assistance for data science, recommendation of software stacks for AI applications, app modernization, and vulnerability analysis. Starting now! #NeurIPS2020 #AI4Code 👩💻👨💻
A great way to kick off #NeurIPS2020 - check out the @IBMResearch EXPO talk on the AI4Code efforts at @IBM and @RedHat - 🔗 bit.ly/3ghRKIv Sun, Dec 6 2pm EST / 11am PST 👆 We will be around for questions after the 45min talk. See you there! #neurips #AI #ML #nlproc
(6/6) In summary, INDICT's cooperative critic system demonstrates potential for responsible AI for code, achieving state-of-the-art security without compromising functionality. Explore the future of safe and helpful AI-generated code today! #AI #Innovation #AI4Code
Following up on the AlphaEvolve code opt. agent, I am happy to share how our team at @GoogleDeepMind has developed the CodeMender agent to design/apply patches to fix security vulnerabilities in large scale open source projects. #AI4code Read more at: deepmind.google/discover/blog/…
Leverage prompt chaining to build multi-step AI workflows directly in your dev pipeline! Perfect for writing tests, docs, & boilerplate in one shot. 🧠 Ex: "Generate API docs ➝ write unit tests ➝ suggest improvements" – all from a single commit. #AIDevCodes #AI4Code #DevTools
🧑💻 Thinking of getting a dev tool subscription — torn between Cursor, Claude Code, or something else 👀 Any devs here using one of these? Would love your thoughts before I subscribe. Drop your fav coding tools below! 💬👇 #devtools #programming #AI4Code
How do you turn a text-to-code model into a smarter AI developer? It starts with supervised fine-tuning, curated code examples, and human feedback. Read how it’s done: hubs.ly/Q03sq_xG0 #GenAI #AI4Code #LLMTraining #DataAnnotation
🚀 Our paper “ClassInvGen” was accepted to #SAIV2025 @confCAV ! We show how LLMs auto-synthesize executable class invariants & tests for C++. PDF: arxiv.org/abs/2502.18917 #FormalVerification #AI4Code #cav25
Cursor AI’s new agent feature is next-level! 🚀 From incremental coding gains to fully custom writing agents, the flexibility here is wild. Combine that with @QodoAI for seamless PR analysis, and you’ve got a powerhouse dev setup. What’s your ideal AI agent use case? #AI4Code…
Solid roundup of AI’s top ROI plays! From routine task agents to deep research, these use cases drive real impact. Pair them with @QodoAI real-time code analysis, auto-generated test cases, and smooth PR walkthroughs—and you’ve got a powerhouse dev workflow. 🚀 #AI4Code…
👨💻 Coding with #AI just got smarter. MIT found a way to guide #LLMs to write cleaner, more accurate code across languages. No more spaghetti AI code 🍝 This could change dev workflows forever. #AI4Code #MIT #CodingWithAI #DevTools #Programming
New models, same struggle! DeepSeek-R1, GPT-4.5 Preview, and Claude 3.7 Sonnet still show low performance on realistic coding tasks (RepoCod-Lite), with Pass@1 of 4.5%, 4.0%, and 3.5%. Top models just reach 10% Pass@1. We need better approaches for code generation! #AI4Code #LLM
Updating real-world large legacy projects like binutils? Meet (arxiv.org/abs/2501.14257) C2SaferRust: leveraging program analysis & LLMs to create idiomatic, safer Rust with (↓38%) raw pointers & (↓28%) unsafe code while preserving functionality 🚀 #rustlang #AI4code #AIAgent
Two of my papers (1 Main and 1 Findings) got accepted at #EMNLP2024! Can’t wait to connect with folks, especially in the #AI4Code community at Miami ✈️🌴 @ProseMsft @emnlpmeeting @Microsoft #NLP #CodeGeneration #Research #EMNLP #AI
After 36 hours of travel, finally at Porto de Galinhas, Brazil to attend @AIwareConf @FSEconf . I'll be here throughout the conference and would love to discuss #AI4Code & #AI4SE in general. Also, share our learnings from building GitHub Copilot inside VS. DMs are open.
(6/6) In summary, INDICT's cooperative critic system demonstrates potential for responsible AI for code, achieving state-of-the-art security without compromising functionality. Explore the future of safe and helpful AI-generated code today! #AI #Innovation #AI4Code
Introducing SemCoder, a semantic-aware Code LLM excelling in code generation and execution reasoning. Trained with high-quality data and novel way of aligning execution, only 6.7B model is outperforming GPT3.5 and CodeLlama 34B. link: arxiv.org/pdf/2406.01006 #LLMs, #AI4Code
OctoPack: Instruction Tuning Code Large Language Models Presents HumanEvalPack, expanding the HumanEval benchmark to a total of 3 coding tasks (Code Repair, Code Explanation, Code Synthesis) across 6 languages (Python, JavaScript, Java, Go, C++, Rust). arxiv.org/abs/2308.07124
also... considering trying to get people at #ICLR2024 together for another one of the (in)famous #ai4code + #ai4math + #neurosymbolicAI meetups. DM me if interested! will probably have to be very low-key (unless you and your company want to organize + sponsor it!)
Finally, check out the appendix! There's a few cool little bonus results in there that we couldn't fit in the main paper. This project was a labor of love and we really tried to be as comprehensive as possible - if you work in #ai4code, I hope you enjoy this knowledge dump!
#ai4code peeps at #ICLR2024: come chat self-repair with me at 10:45 AM on Friday, May 10! I'll be presenting the camera-ready version of this fan favorite from last year... now with even more data! Keep reading for a sneak peek of the results 👇
Demystifying GPT Self-Repair for Code Generation paper page: huggingface.co/papers/2306.09… Large Language Models (LLMs) have shown remarkable aptitude in code generation but still struggle on challenging programming tasks. Self-repair -- in which the model debugs and fixes mistakes…
The #LLMs for Code Seminar is launching this week! 🧠 Join us online: bit.ly/LLMs-for-Code-… #AI4Code #LLMs4Code
Please review the flyer for the job description and requirements, and apply online if you feel qualified and interested. Please reach out to me directly (after applying online) only if you have an established track record in the research area of #AI4Code.
Very excited to be hearing Michele Catasta (@pirroh) talk about #AI4Code at the Synapse #AI Symposium. @bendingspoons
OctoPack: Instruction Tuning Code Large Language Models Presents HumanEvalPack, expanding the HumanEval benchmark to a total of 3 coding tasks (Code Repair, Code Explanation, Code Synthesis) across 6 languages (Python, JavaScript, Java, Go, C++, Rust). arxiv.org/abs/2308.07124
After 36 hours of travel, finally at Porto de Galinhas, Brazil to attend @AIwareConf @FSEconf . I'll be here throughout the conference and would love to discuss #AI4Code & #AI4SE in general. Also, share our learnings from building GitHub Copilot inside VS. DMs are open.
Slow Friday in the SF Bay Area? Join us at the berkeleyhaasaisummit.com 👇 I’ll give a talk on “AI meets Source Code: status quo and outlooks”! #AI4Code #LLM
Finally, check out the appendix! There's a few cool little bonus results in there that we couldn't fit in the main paper. This project was a labor of love and we really tried to be as comprehensive as possible - if you work in #ai4code, I hope you enjoy this knowledge dump!
Yo! Check out my new "incomplete" repo for the #ai4code kaggle competition by @google and @theteamatx! "Understand the relationship between code and comments in Python notebooks" View the repo at: github.com/Pranshu-Bahadu… @kaggle Competition at: kaggle.com/competitions/A…
New models, same struggle! DeepSeek-R1, GPT-4.5 Preview, and Claude 3.7 Sonnet still show low performance on realistic coding tasks (RepoCod-Lite), with Pass@1 of 4.5%, 4.0%, and 3.5%. Top models just reach 10% Pass@1. We need better approaches for code generation! #AI4Code #LLM
Tool Augmented Language Models. The #AI4Code reading group is also back in July with Aaron Parisi, #Google researcher and lead author of the #TALM paper👇 arxiv.org/pdf/2205.12255…
🔑📝Toward Code-Aware AI Models for Code @msrconf by @baishakhir. She shared results of models that beat state-of-the-art models already with zero-shot. Promising results for good results with lower costs. 🙌🌱 #MSR2023 #AI4code
My summary on progresses in the area of AI4Code - applying AI/ML techniques to source code centric usecases - appears in the March 2021 issue of @acm_sigai's AI Matters magazine, out now. 🔗 Paper: sigai.acm.org/static/aimatte… Full issue: sigai.acm.org/aimatters/7-1.… #AI #ML #AI4Code
The #LLMs for Code Seminar is about to launch! bit.ly/LLMs-for-Code-… Our first speaker is Jacob Andreas from MIT (abstract below). Register for his talk at the link in the comments. @jacobandreas #AI4Code #AI4SE
OutSystems.AI researchers @miguelventura and J. Nadkarni go over the State-of-the-Art in #MLonCode #AI4Code #OutSystemsAI bit.ly/2DY5Car
#ai4code peeps at #ICLR2024: come chat self-repair with me at 10:45 AM on Friday, May 10! I'll be presenting the camera-ready version of this fan favorite from last year... now with even more data! Keep reading for a sneak peek of the results 👇
Demystifying GPT Self-Repair for Code Generation paper page: huggingface.co/papers/2306.09… Large Language Models (LLMs) have shown remarkable aptitude in code generation but still struggle on challenging programming tasks. Self-repair -- in which the model debugs and fixes mistakes…
New Code Mentor launch! 🚀 Fetch and manipulate your data easily using natural language outsystems.com/product-update… #AI4Code
(6/6) In summary, INDICT's cooperative critic system demonstrates potential for responsible AI for code, achieving state-of-the-art security without compromising functionality. Explore the future of safe and helpful AI-generated code today! #AI #Innovation #AI4Code
Coding time! @NeurIPSConf from @IBMResearch and @RedHat on coding assistance for data science, recommendation of software stacks for AI applications, app modernization, and vulnerability analysis. Starting now! #NeurIPS2020 #AI4Code 👩💻👨💻
A great way to kick off #NeurIPS2020 - check out the @IBMResearch EXPO talk on the AI4Code efforts at @IBM and @RedHat - 🔗 bit.ly/3ghRKIv Sun, Dec 6 2pm EST / 11am PST 👆 We will be around for questions after the 45min talk. See you there! #neurips #AI #ML #nlproc
How do you turn a text-to-code model into a smarter AI developer? It starts with supervised fine-tuning, curated code examples, and human feedback. Read how it’s done: hubs.ly/Q03sq_xG0 #GenAI #AI4Code #LLMTraining #DataAnnotation
Something went wrong.
Something went wrong.
United States Trends
- 1. D’Angelo 280K posts
- 2. Brown Sugar 20.3K posts
- 3. #PortfolioDay 15.8K posts
- 4. Pentagon 105K posts
- 5. Young Republicans 13K posts
- 6. Politico 160K posts
- 7. Drew Struzan 27.5K posts
- 8. Scream 5 N/A
- 9. Big 12 N/A
- 10. Black Messiah 10.6K posts
- 11. David Bell N/A
- 12. Soybeans 4,962 posts
- 13. Venables 3,587 posts
- 14. Merino 14K posts
- 15. World Cup 325K posts
- 16. Presidential Medal of Freedom 58K posts
- 17. Nick Mangold N/A
- 18. Baldwin 20.7K posts
- 19. Voodoo 21.2K posts
- 20. Jeff Albert N/A