Collaboration query for DataSets
A hospitalized individual is seeking collaborators for a machine learning project on Sudokus, aiming to build a dataset and eventually create an independent organization. The person is currently witho…
A hospitalized individual is seeking collaborators for a machine learning project on Sudokus, aiming to build a dataset and eventually create an independent organization. The person is currently witho…
A researcher updates their AI's Wick-Ledger study, mapping the runtime framework to familiar AI concepts like LLMs, chain-of-thought, self-consistency, and RAG. The framework reorganizes these techniq…
A Hugging Face user is exploring dissimilar language ablation, aiming to remove Mandarin, Russian, and Arabic from a primarily Latin-based language model to free space for further training or pruning.…
A new proposal outlines a runtime-enforced checklist mechanism to prevent AI agents from guessing or filling gaps in user instructions, aiming to reduce errors and accidents as voice-controlled agents…
A new WebGPU-powered demo of Qwen3.5 has been released on Hugging Face Spaces, enabling large language model inference directly in the browser. The project showcases the potential of running advanced …
A developer argues that prompt engineering alone cannot fix AI agents, advocating for runtime state verification and action validity gating before execution. The approach, exemplified by DESi, ensures…
A Hugging Face user reported that an account named cerealpotatochipssea uploaded pornographic, gore, and Nazi content to the platform, requesting immediate deletion. The report was posted in the Site …
A client is seeking an experienced NLP/LLM engineer to build the first RAG-based localization engine for a low-resource South American language within 10 weeks, with full IP transfer and a budget of €…
A user reported that their arXiv paper was indexed on Hugging Face Papers but never appeared on the Daily Papers homepage, despite waiting several days. The user requested assistance in checking the s…
A developer used eBPF with Go to debug a production issue in an AI-generated service where P95 latency spiked from 40ms to 4 seconds due to excessive kernel-level file I/O calls invisible to tradition…
A developer recommends Unsloth as the most cost-effective method for fine-tuning small language models in 2026, citing its ease of use and low VRAM requirements compared to the theoretically cheaper b…
The best open-source framework for building AI agents in 2026 depends on the use case, with popular options including LangChain/LangGraph, Google ADK, DeepAgents, CrewAI, AutoGen, and AG2.…
Developer JoeBro released a native macOS AI workspace with a Python backend that requires zero dependencies, no pip install, and no Docker. The app runs entirely locally, storing data in a SQLite file…
Hugging Face launched a one-command method to run a vLLM server on its Jobs infrastructure, enabling users to quickly deploy models for testing, evaluation, or batch generation. The feature uses the o…
A Hugging Face forum user asked how to add someone to a Hugging Face dataset or database, but the topic was deleted by the author. The forum thread shows related discussions about pushing datasets to …
Pendo is hiring Staff and Senior AI Engineers in New York City to build Novus, a production AI agent that autonomously detects and fixes user pain points in live codebases. The role involves agent arc…
A researcher ran a 200-step debug comparison between a base OLMo3 600M model and a DeepSeek-style Engram memory graft variant, finding the graft stable and showing improved early learning behavior. Th…
Researchers at the Allen Institute for AI compared their 7B transformer model Olmo 3 with the hybrid model Olmo Hybrid to determine which tokens each predicts better. The hybrid model excels on meanin…
A practical guide for benchmarking fine-tuned models recommends starting with a held-out test set matching the actual task rather than relying solely on public benchmarks. The workflow includes defini…
A researcher has developed a prompting technique called 'LLM curving' that shifts large language models from token-by-token prediction to a holistic self-organization mode, aiming to improve reasoning…