Ali Bidaran PRO

alibidaran

10 4 141

AI & ML interests

AI resercher, LLMs, Computer Vision, Generative AI, NLP, Machine /Deep learning, Reinforcement Learning

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liked a dataset about 1 month ago

skilledu/claude-opus-4.6-4.7-reasoning-8.7k

liked a dataset about 1 month ago

felycia/claude-opus-4.6-4.7-reasoning-8.7k

liked a dataset about 1 month ago

Mahfug/claude-opus-4.6-4.7-reasoning-8.7k

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posted an update about 2 months ago

Post

177

Hi Community,
In my recent AI project, I have fine-tuned an LLM model for psychological conversations. In this training process, I used the SFT algorithm to train on different psychological datasets and the DPO training model to generate appropriate responses.
Here is the model. Be aware that this model can be used for research and evaluation applications; do not apply it directly for clinical use.
alibidaran/Zigroo-Mental_consultant2-merged

replied to their post 4 months ago

According to the MedGemma documentation, MedGemma was trained on several medical datasets that form the foundation of its classification capabilities. In this project, I leveraged computer vision object detection models to annotate medical images, with Gemma 4 then interpreting those annotations to generate meaningful insights.
I'm currently gathering datasets and additional models to benchmark performance. Stay tuned — evaluations are coming soon!

posted an update 4 months ago

Post

4183

With the release of Gemma 4, I launched a new Space called MEDPAI — a medical imaging analysis tool that combines object detection with multimodal AI.
Here's how it works:

Upload a CT scan or X-ray
Computer vision models detect and annotate findings
Gemma 4 33B generates a report or answers your questions about the image

Currently available detectors: dental analysis and bone fracture detection.
More models are in the pipeline — follow the Space to stay updated!
alibidaran/MEDPAI

3 replies

replied to their post 4 months ago

Why GPT-4o?

posted an update 4 months ago

Post

2122

🧠 Introducing Qwen2.5 — Cognitive Reasoning Mode

I fine-tuned Qwen2.5 with GRPO to actually think before it answers — not just pattern-match.

Most LLMs mimic reasoning. This one builds a real cognitive path:

📌 Plan → understand the task
🔍 Monitor → reason step by step
✅ Evaluate → verify before answering

Every response follows a strict structured protocol:
<think> <planning> ... <monitoring> ... <evaluation> ... </think>
Then a clean, reasoning-free <output>.

The model self-checks its own structure. If a section is missing or malformed → the response is invalid.

This isn't chain-of-thought slapped on top. The reasoning protocol is baked in via RL.

🔗 Full README + inference code below 👇
alibidaran/Qwen_COG_Thinker_Merged

#AI #LLM #Qwen #ReasoningModels #GRPO #OpenSource

2 replies

posted an update 6 months ago

Post

3026

I’m excited to share PlaiTO, a reasoning-focused language model built on LLaMA 3.1 (8B) and optimized for humanities and social sciences.

PlaiTO is designed to go beyond surface-level text generation, emphasizing structured reasoning, conceptual clarity, and analytical depth—especially in domains centered on human behavior and social systems.

🎯 Focus Areas

Psychology

Management & Organizational Studies

Sociology

📊 MMLU Benchmark Results (100 samples per domain)

Professional Psychology: 76%

Management: 74%

Sociology: 75%

These results highlight PlaiTO’s strong performance in abstract, theory-heavy, and reasoning-driven tasks.

💡 Why PlaiTO?

Strong analytical and reasoning capabilities

Better handling of complex human-centered problems

Suitable for academic, educational, and research use cases

Balanced performance across multiple humanities disciplines

PlaiTO is ideal for conceptual analysis, case reasoning, academic discussion, and decision-support scenarios—while still requiring human oversight for high-stakes applications.

📌 Built on LLaMA 3.1, compliant with its licensing terms.
alibidaran/Platio_merged_model

reacted to prithivMLmods's post with ❤️ 8 months ago

Post

4368

Introducing the Qwen-Image-Edit-2511-LoRAs-Fast demo, featuring image property comparison and contrast, built on top of Gradio and the combined Rerun SDK. It supports single and multi-image edits with existing LoRAs that are lazily loaded. (Note: This is still an experimental Space for Qwen-Image-Edit-2511.)

⭐ Space Demo: prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast
⭐ GitHub: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-Edit-2511-LoRAs-Fast-Multi-Image-Rerun
⭐ Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

To know more about it, visit the app page or the respective model page!

2 replies

posted an update 9 months ago

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2654

This shared notebook comprises the MMLU benchmark evaluating task for my latest reasoning model for the sociology field. The results show that using Few-shot prompting in the system prompt can significantly improve the model's performance at answering questions.

Model's link:
alibidaran/GRPO_LLAMA3-instructive_reasoning1
Notebook evaluation:
https://www.kaggle.com/code/alibidaran/mmlu-socialogy-thinking-evals?scriptVersionId=277240033

posted an update 11 months ago

Post

452

Hi community, I recently added my LORA base SDX-1.5 model, which is trained on the Midjourney dataset with an image size of 512x512. You can download it and use it by following the link.
alibidaran/LORA_SDX1.5_Midjourney

reacted to sergiopaniego's post with 👍 about 1 year ago

Post

4568

Just included example scripts for aligning models using GSPO (including VLM example) 🙆‍♂️🙆‍♂️

GSPO is the latest RL alignment algo by @Alibaba_Qwen and it's already supported in the latest TRL v0.20 release.

Super-easy-to-get-started example scripts below, GO run them!👩‍💻👩‍💻

🧑‍🎨 Script: https://github.com/huggingface/trl/blob/main/examples/scripts/gspo.py
🦄 VLM script: https://github.com/huggingface/trl/blob/main/examples/scripts/gspo_vlm.py
🧩 More TRL examples: https://huggingface.co/docs/trl/main/en/example_overview
🧙‍♂️ GSPO paper: Group Sequence Policy Optimization (2507.18071)

posted an update about 1 year ago

Post

457

Hello commiunity.
Here is latest LLM-based TTS model. This model is fined tuned on Spark TTs model with AnimeVox dataset.
Here is the demo for how to use the this model.
alibidaran/Spark_Anime
If you want to use this model in your model you can directly download it from link below:
alibidaran/Spark_Anime

Ali Bidaran PRO

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