Linking pages
- THUDM Releases GLM 4: A 32B Parameter Model Competing Head-to-Head with GPT-4o and DeepSeek-V3 - MarkTechPost https://www.marktechpost.com/2025/04/14/thudm-releases-glm-4-a-32b-parameter-model-competing-head-to-head-with-gpt-4o-and-deepseek-v3/ 3 comments
- SQL-R1: A Reinforcement Learning-based NL2SQL Model that Outperforms Larger Systems in Complex Queries with Transparent and Accurate SQL Generation - MarkTechPost https://www.marktechpost.com/2025/04/15/sql-r1-a-reinforcement-learning-based-nl2sql-model-that-outperforms-larger-systems-in-complex-queries-with-transparent-and-accurate-sql-generation/ 1 comment
- OpenAI Releases Codex CLI: An Open-Source Local Coding Agent that Turns Natural Language into Working Code - MarkTechPost https://www.marktechpost.com/2025/04/16/openai-releases-codex-cli-an-open-source-local-coding-agent-that-turns-natural-language-into-working-code/ 0 comments
Linked pages
- Web-App erstellen in Minuten | Hostinger Horizons https://www.hostg.xyz/aff_c?aff_id=151478&offer_id=940 2 comments
- Can LLMs Debug Like Humans? Microsoft Introduces Debug-Gym for AI Coding Agents - MarkTechPost https://www.marktechpost.com/2025/04/11/can-llms-debug-like-humans-microsoft-introduces-debug-gym-for-ai-coding-agents/ 0 comments
- Allen Institute for AI (Ai2) Launches OLMoTrace: Real-Time Tracing of LLM Outputs Back to Training Data - MarkTechPost https://www.marktechpost.com/2025/04/11/allen-institute-for-ai-ai2-launches-olmotrace-real-time-tracing-of-llm-outputs-back-to-training-data/ 0 comments
- A Coding Implementation on Introduction to Weight Quantization: Key Aspect in Enhancing Efficiency in Deep Learning and LLMs - MarkTechPost https://www.marktechpost.com/2025/04/12/a-coding-implementation-on-introduction-to-weight-quantization-key-aspect-in-enhancing-efficiency-in-deep-learning-and-llms/ 0 comments
- A Coding Implementation for Advanced Multi-Head Latent Attention and Fine-Grained Expert Segmentation - MarkTechPost https://www.marktechpost.com/2025/04/13/a-coding-implementation-for-advanced-multi-head-latent-attention-and-fine-grained-expert-segmentation/ 0 comments
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