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I will build and integrate advanced ai solutions using hugging face
AI Engineer , OpenAI, Claude and n8n Expert , AI Agents, Chatbots and Automation
🚀 AI Engineer specializing in AI Agents, OpenAI, Claude, n8n, Chatbots, and Workflow Automation.
I help businesses automate processes, improve customer support, and build scalable AI-powered solutio...
About this Gig
About this Gig
Are you trying to find a competent hugging face developer or expert for your NLP projects who can optimize hugging face Transformers, BERT, and GPT models? There's nowhere else to look!
With several years of NLP and deep learning experience, I provide excellent services that are customized to meet your specific needs. I am able to optimize BERT, GPT, and Hugging Face Transformer models for various natural language processing tasks, such as:
- Sentiment analysis.
- Named entity recognition
- Text classification
- Question-answering
- Image Classification
- Optical Character Recognition
- Image generation
Frameworks:
- Hugging Face Transformers
- BERT
- GPT-2 / GPT-3
- PyTorch
- TensorFlow
- NLTK
- spaCy
- Scikit-learn
I assure timely delivery, good communication, and total satisfaction by adhering to best practices in NLP and deep learning. I'm here to help at every stage, whether you already have an idea in mind or need assistance with selecting, refining, or evaluating models.
Therefore, let's work together to advance your NLP initiatives! For a free consultation and price, get in touch with me right now.
- Application Type
- Web Application
- Desktop Frameworks
- Tkinter
- AI Type
- Chat
- Entertainment
My Portfolio
FAQ
What is a Large Language Model (LLM)?
A Large Language Model (LLM) is an AI trained on massive text datasets to understand and generate human-like language. It can perform tasks like answering questions, translating text, and summarizing information.
How do LLMs learn to generate human-like text?
LLMs learn to generate text by analyzing large datasets using machine learning. They identify patterns, structures, and contexts in the text, enabling them to produce coherent and contextually relevant sentences.
What are some common uses of LLMs?
Common uses of LLMs include customer support automation, content creation, language translation, text summarization, educational tools, and chatbots for conversational interactions.
Reviews
1 reviews for this Gig
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M mobi126
Australia
Ongoing collaborationI had a great experience working with Touseef Khan. He built a complete RAG application using OpenAI and open-source models with proper data retrieval and response generation. The system is fast, accurate, and well-structured. He also guided me on deployment and usage. His expertise in AI and NLP is clearly visible. Highly recommended!
$50-$100
Price
1 day
Duration
Helpful?
Reviews
1 reviews for this Gig
| (1) | ||
| (0) | ||
| (0) | ||
| (0) | ||
| (0) |
Rating Breakdown
- Seller communication level
- Quality of delivery
- Value of delivery
Sort By
Most relevant
M mobi126
Australia
Ongoing collaborationI had a great experience working with Touseef Khan. He built a complete RAG application using OpenAI and open-source models with proper data retrieval and response generation. The system is fast, accurate, and well-structured. He also guided me on deployment and usage. His expertise in AI and NLP is clearly visible. Highly recommended!
$50-$100
Price
1 day
Duration
Helpful?
