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Sagar pallai

sagar007
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LLM AND STABLE DIFFUSION

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posted an update about 1 month ago
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Fine-tuned Phi-3.5 Chatbot

This project presents a fine-tuned version of Microsoft's Phi-3.5 model, optimized for enhanced conversational abilities and general knowledge tasks.

Model Details
- Base model: microsoft/Phi-3.5-mini-instruct
- Fine-tuning method: PEFT (Parameter-Efficient Fine-Tuning)
- Training data: [Brief description of your dataset]

Features
- Improved response generation for a wide range of topics
- Enhanced context understanding and coherence
- Optimized for deployment on Hugging Face Spaces

Usage
This model can be used for various natural language processing tasks, including:
- General conversation
- Question answering
- Task instructions
- Creative writing

Try out the model here :
sagar007/phi3.5_mini_instruct_finetune

Limitations
While this fine-tuned model shows improved performance, users should be aware of potential biases and limitations inherent in language models. Always critically evaluate the model's outputs.

Feedback
I welcome any feedback, suggestions, or questions about this project. Feel free to open an issue or contribute to further improvements!

#Phi35 #FineTuning #NLP #MachineLearning #HuggingFace
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posted an update about 2 months ago
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1167
Excited to share my new Gradio app featuring the impressive Llama-3.1-Storm-8B model!
This app demonstrates the capabilities of Llama-3.1-Storm-8B, an 8B parameter language model created by Ashvini Kumar Jindal, Pawan Kumar Rajpoot, Ankur Parikh,@akjindal53244
Key highlights of Llama-3.1-Storm-8B:

Outperforms Llama-3.1-8B-Instruct on multiple benchmarks:

Instruction Following (IFEval): +3.93%
Knowledge-driven QA (GPQA): +7.21%
Reduced Hallucinations (TruthfulQA): +9%
Function Calling (BFCL): +7.92%


Achieves impressive results with only 8B parameters
Uses innovative techniques like self-curation and model merging

Try out the model yourself: sagar007/lama_storm_8b

Kudos to the creators for pushing the boundaries of smaller language models! This work makes advanced AI more accessible and efficient.
#AI #NLP #MachineLearning #GradioApp #Llama3
replied to their post about 2 months ago
posted an update about 2 months ago
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610
📣 New Project Alert: Phi 3.5 Multimodal AI Demo 🎉
Excited to share my latest project that combines the power of Phi 3.5 text and vision models with text-to-speech capabilities!
🔑 Key Features:
1️⃣ Phi 3.5 Text Model for dynamic conversations
2️⃣ Phi 3.5 Vision Model for advanced image analysis
3️⃣ Text-to-Speech integration for an audio dimension
🛠️ Tech Stack:

Transformers
Gradio
PyTorch
Flash Attention 2
Parler TTS

This project demonstrates the potential of integrating multiple AI models to create a more comprehensive and interactive user experience. It's a step towards more natural and versatile AI assistants.
👉 Check out the demo and let me know your thoughts! How would you extend this project?
🔗 Demo Link: sagar007/Multimodal_App
#MultimodalAI #PhiModel #MachineLearning #AIDemo
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posted an update about 2 months ago
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646
📐 AI Math Equation Solver: Your Step-by-Step Solution Companion

Hello Hugging Face community! 👋 I'm excited to share my latest Space: the AI Math Equation Solver!

🔍 What does it do?

This Space uses the power of AI to solve math problems from images. Simply upload a picture of a math equation or problem, and the AI will provide a detailed, step-by-step solution. It's perfect for students, teachers, or anyone looking to understand complex mathematical concepts better.

🧠 How does it work?

- Backend: Utilizes the microsoft/Phi-3.5-vision-instruct model for image understanding and mathematical reasoning.
- Frontend: Built with Gradio for a clean, user-friendly interface.
- Features:
- Image upload for math problems
- Detailed step-by-step solutions
- Example problems to try instantly

🚀 Try it out! sagar007/phi-vision-math-assistant

Visit the Space here: [Insert your Hugging Face Space URL]

💡 Use cases:

- Students: Check your work or get help with homework
- Teachers: Create detailed solution guides quickly
- Tutors: Explain complex problems more effectively
- Self-learners: Understand new mathematical concepts

🛠️ Technical Details:

- Model: microsoft/Phi-3.5-vision-instruct
- Libraries: transformers, Gradio, PyTorch
- Optimizations: Uses Flash Attention for improved performance

🤝 Contribute:

This is an open project, and I welcome contributions! Whether it's improving the model, enhancing the UI, or adding new features, feel free to fork the project and submit your pull requests.

📣 Feedback:

I'd love to hear your thoughts! How are you using this Space? Any suggestions for improvements? Let me know in the comments below.

Happy problem-solving! 🎉

#MachineLearning #AI #Mathematics #Education #HuggingFace
posted an update about 2 months ago
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744
🌟 Enchanted Tales Generator: A GPT-2 Inspired Story Weaver 🌟

Hello Hugging Face community! I'm excited to share my latest project, the Enchanted Tales Generator, inspired by Andrej Karpathy's enlightening YouTube videos on GPT-2.

🧙‍♂️ What is the Enchanted Tales Generator?

The Enchanted Tales Generator is a magical text generation app that weaves whimsical stories based on your prompts. It's powered by a fine-tuned GPT model and brings the wonder of AI-generated storytelling to your fingertips.

🎥 Inspiration

This project was born from the inspiration I drew from Andrej Karpathy's incredible YouTube series on GPT-2. His clear explanations and deep insights into the workings of language models sparked my imagination and drove me to create something that could bring joy and creativity to others.

🔮 Features

- Story Incantation: Input your magical prompt to start your tale
- Scroll Length: Adjust the length of your generated story
- Magical Intensity: Control the creativity (temperature) of the generation
- Arcane Diversity: Fine-tune the variety of word choices (top-k sampling)

🚀 Try It Out: sagar007/GPT-2-with_gpu

You can experience the Enchanted Tales Generator right here on Hugging Face Spaces: [Insert your Spaces link here]

🛠️ Behind the Scenes

The app is built using:
- PyTorch for the underlying GPT model
- Gradio for the user interface
- Hugging Face Spaces for deployment

I've implemented techniques learned from Karpathy's videos, such as:
- Custom GPT architecture
- Top-k sampling for diverse outputs
- Temperature-controlled generation

🌈 Future Enchantments

I'm continuously working on improving the Enchanted Tales Generator. Some ideas for future updates include:
- Fine-tuning on specific genres of stories
- Adding options for character and setting generation
- Implementing more advanced sampling techniques

🤝 Join the Magic!