Benhao Tang

benhaotang

AI & ML interests

Physics Master student in theoretical particle physics at Universität Heidelberg, actively looking into the possibilities of integrating AI into future physics research.

Recent Activity

reacted to abidlabs's post with 🔥 6 days ago

HOW TO ADD MCP SUPPORT TO ANY 🤗 SPACE Gradio now supports MCP! If you want to convert an existing Space, like this one https://huggingface.co/spaces/hexgrad/Kokoro-TTS, so that you can use it with Claude Desktop / Cursor / Cline / TinyAgents / or any LLM that supports MCP, here's all you need to do: 1. Duplicate the Space (in the Settings Tab) 2. Upgrade the Gradio `sdk_version` to `5.28` (in the `README.md`) 3. Set `mcp_server=True` in `launch()` 4. (Optionally) add docstrings to the function so that the LLM knows how to use it, like this: ```py def generate(text, speed=1): """ Convert text to speech audio. Parameters: text (str): The input text to be converted to speech. speed (float, optional): Playback speed of the generated speech. ``` That's it! Now your LLM will be able to talk to you 🤯

reacted to fdaudens's post with 👍 7 days ago

Want to know which AI models are least likely to hallucinate — and how to keep yours from spiking hallucinations by 20%? A new benchmark called Phare, by Giskard, tested leading models across multiple languages, revealing three key findings: 1️⃣ Popular models aren't necessarily factual. Some models ranking highest in user satisfaction benchmarks like LMArena are actually more prone to hallucination. 2️⃣ The way you ask matters - a lot. When users present claims confidently ("My teacher said..."), models are 15% less likely to correct misinformation vs. neutral framing ("I heard..."). 3️⃣ Telling models to "be concise" can increase hallucination by up to 20%. What's also cool is that the full dataset is public - use them to test your own models or dive deeper into the results! H/t @davidberenstein1957 for the link. - Study: https://www.giskard.ai/knowledge/good-answers-are-not-necessarily-factual-answers-an-analysis-of-hallucination-in-leading-llms - Leaderboard: https://phare.giskard.ai/ - Dataset: https://huggingface.co/datasets/giskardai/phare

liked a model 26 days ago

moonshotai/Kimi-VL-A3B-Thinking

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benhaotang's activity

New activity in huggingface/HuggingDiscussions 3 months ago

[FEEDBACK] Inference Providers

112

#49 opened 4 months ago by

julien-c

New activity in benhaotang/phi4-qwq-sky-t1 4 months ago

Adding Evaluation Results

#2 opened 4 months ago by

benhaotang

New activity in deepseek-ai/DeepSeek-R1-Distill-Qwen-32B 4 months ago

What temp are these expected to be used at?

#6 opened 4 months ago by

rombodawg

New activity in benhaotang/phi4-qwq-sky-t1 4 months ago

Correctness of the example question in HF space

#1 opened 4 months ago by

benhaotang

New activity in benhaotang/try-out-phi4-qwq-sky-t1 4 months ago

Correctness on the example question

#1 opened 4 months ago by

benhaotang

New activity in benhaotang/Rombos-Coder-V2.5-Qwen-7b-GGUF_cline 5 months ago

Is this LLM trained for the Cline exstension in VSC?

#1 opened 5 months ago by

dadadies

New activity in benhaotang/tryout_mistral-small-physics-finetuned 5 months ago

Interesting...

#1 opened 5 months ago by deleted

New activity in mradermacher/model_requests 6 months ago

ehristoforu/Gixtral-100B

#410 opened 6 months ago by

benhaotang