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Building on HF
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Tyler Williams
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unmodeled-tyler
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unmodeled_tyler
unmodeled-tyler
AI & ML interests
AI researcher/engineer. The human behind VANTA Research. Feel free to reach out on X or telegram: @unmodeledtyler or send me an email:
[email protected]
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posted
an
update
about 19 hours ago
Hey Everyone! I stumbled across a pretty interesting paper recently and just wanted to share it with you all. It attempts to quantify a framework for effective human-AI synergy and to answer the question about why some users just seem to be naturally adept at working with AI in collaborative contexts. From the Abstract,"We demonstrate that collaboration ability is distinct from individual problem-solving ability. Users better able to infer and adapt to others’ perspectives achieve superior collaborative performance with AI–but not when working alone." This infers that strong collaborative traits between human and AI systems resemble effective collaborative traits between humans. The ability to be an effective problem-solver does not immediately translate to being an effective collaborator or vice versa. Pretty interesting read, and there's a lot to unpack. Link below if you want to take a look! https://openreview.net/forum?id=Yhqa8Ljzrj
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to
rajkumarrawal
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with ❤️
about 19 hours ago
September(2025) LLM Core Knowledge & Reasoning Benchmarks Report By https://huggingface.co/AiParivartanResearchLab (AIPRL-LIR) Monthly LLM's Intelligence Reports for AI Decision Makers : Our "aiprl-llm-intelligence-report" repo to establishes (AIPRL-LIR) framework for Large Language Model overall evaluation and analysis through systematic monthly intelligence reports. Unlike typical AI research papers or commercial reports. It provides structured insights into AI model performance, benchmarking methodologies, Multi-hosting provider analysis, industry trends ... ( all in one monthly report ) Leading Models & Companies, 23 Benchmarks in 6 Categories, Global Hosting Providers, & Research Highlights Here’s what you’ll find inside this month’s intelligence report:- Leading Models & Companies : https://huggingface.co/openai , https://huggingface.co/Anthropic, https://huggingface.co/meta-llama, https://huggingface.co/deepmind https://huggingface.co/google, https://huggingface.co/mistralai, https://huggingface.co/Cohere, https://huggingface.co/Qwen, https://huggingface.co/deepseek-ai, https://huggingface.co/MicrosoftResearch, https://huggingface.co/amazonwebservices, https://huggingface.co/nvidia, https://huggingface.co/grokgpt-org and more. 23 Benchmarks in 6 Categories : With a special focus on Core Knowledge & Reasoning performance across diverse tasks. Repository link is in comments below : https://huggingface.co/blog/rajkumarrawal/september-2025-aiprl-lir-core-knowledge-reasoning#6935ab96da60512619b7cf1f
updated
a model
2 days ago
vanta-research/atom-olmo3-7b
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