saravsak's Top FindsLoading...
'Vibe Coding' Named Word of the Year By Collins Dictionary
slashdot.org·8h
Flag this post
How I built a game engine using MVI in Kotlin and avoided getting fired
nek12.dev·22h·
Discuss: r/programming
Flag this post
Python 3.14 Free-Threading True Parallelism Without the GIL
dev.to·15h·
Discuss: DEV
Flag this post
Artificial General Intelligence (AGI): Are We Getting Closer to Human-Level Intelligence?
dev.to·20h·
Discuss: DEV
🤖AI
Flag this post
SafeMigrate: Never Fear Database Migrations Again with AI Agents
dev.to·7h·
Discuss: DEV
Flag this post
Building Custom Components in Langflow 🛠️
dev.to·3d·
Discuss: DEV
🤖AI
Flag this post
AILA--First Experiments with Localist Language Models
arxiv.org·2d
🤖AI
Flag this post
Mastering Logging in Python
dev.to·1d·
Discuss: DEV
Flag this post
Implementation of transformer-based LLMs with large-scale optoelectronic neurons on a CMOS image sensor platform
arxiv.org·1d
Flag this post
ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond SemanticDependency Constraints
dev.to·1d·
Discuss: DEV
🤖AI
Flag this post
On Pretraining for Project-Level Code Completion
dev.to·4h·
Discuss: DEV
Flag this post
iFlyBot-VLA Technical Report
arxiv.org·3d
🤖AI
Flag this post
How to Use AI to Teach You AI (Without Getting Lost)
dev.to·2d·
Discuss: DEV
🤖AI
Flag this post
Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets
arxiv.org·1d
🤖AI
Flag this post
7 Steps to Effectively Validate AI-Generated Code
dev.to·18h·
Discuss: DEV
🤖AI
Flag this post
Enhanced Spinodal Decomposition Prediction via Multi-Modal Data Fusion and HyperScore Evaluation
dev.to·1d·
Discuss: DEV
Flag this post
Sign up or login to customize your feed and get personalized topic recommendations
Understanding AI Evaluation for Modern LLM Workflows
dev.to·20h·
Discuss: DEV
🤖AI
Flag this post
Towards Transparent Stance Detection: A Zero-Shot Approach Using Implicit and Explicit Interpretability
arxiv.org·2d
🤖AI
Flag this post
DR. WELL: Dynamic Reasoning and Learning with Symbolic World Model for Embodied LLM-Based Multi-Agent Collaboration
arxiv.org·1d
🤖AI
Flag this post