DeepGit 2.0 A LangGraph-powered GitHub search system that intelligently discovers repositories using ColBERT v2 embeddings and matches them to your hardware capabilities. Explore it here https://
github.com/zamalali/DeepG
it
…
MACHINE LEARNING
-
DeepGit 2.0: LangGraph-Powered GitHub Search System
By
–
-
General-Reasoner: Reinforcement Learning Boosts LLM Reasoning
By
–
9. General-Reasoner General-Reasoner is a reinforcement learning approach that boosts LLM reasoning across diverse domains by using a 230K-question dataset and a model-based verifier trained to understand semantics beyond exact matches.
-
Tiny Reasoning Models: 1.5B Parameter Tina Family
By
–
10. Tiny Reasoning Models Tina is a family of 1.5B parameter reasoning models trained using LoRA-based reinforcement learning (RL) to achieve high reasoning accuracy at very low cost.
-
Tic Tac Toe Complexity and Benchmark Performance Discussion
By
–
Hey @timzaman can you rerun your bench maybe. Personally btw I think tic tac toe is secretly relatively hard. There are 8 lines to check. Each a medium tricky indexing op. And if you want to play, you have to roll it out a bit. Humans find it easy to play because they use their
-
Beyond Pokémon: AI Systems Struggle with Basic Games
By
–
forget pokemon they can't play tic tac toe, so something deeper and interesting is going on.
-
Andrej Karpathy Explains Tensor Cores and TF32 Precision
By
–
Andrej Karpathy explique les Tensor Cores et la précision TF32.
— VISION IA (@vision_ia) 27 avril 2025
Traduit en fr 🇫🇷
Accrochez-vous c'est un peu costaud 🙂 pic.twitter.com/oB1CVGAC8qAndrej Karpathy explique les Tensor Cores et la précision TF32. Traduit en fr Accrochez-vous c'est un peu costaud 🙂
-
Classical NLP Algorithms Remain Relevant in Modern AI
By
–
You should've added the context tbh. Classical NLP algo still can be relevant in many cases tho
-
Join DataAISummit 2026 in San Francisco with AI Leaders
By
–
Data practitioners, leaders and visionaries — don’t miss your chance to join us in San Francisco for #DataAISummit! Each year, we highlight some of the biggest leaders in AI to share their insights + research and feature hundreds of technical sessions across data engineering,
-
Level 5 Full Automation Complete Driving Capability
By
–
Level 5: Full automation
Can drive everywhere under all conditions.
