AI & Large Language Models
Overview
Extensive experience in artificial intelligence and large language models, focusing on developing and implementing AI solutions for real-world applications. Specialized in natural language processing, machine learning, and AI system integration.
Key Competencies
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Large Language Models
Experience with GPT models, prompt engineering, and fine-tuning for specific applications. Proficient in developing AI-powered applications and services.
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Machine Learning
Deep understanding of ML algorithms, neural networks, and deep learning frameworks. Skilled in model training, optimization, and deployment.
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Natural Language Processing
Expertise in text analysis, sentiment analysis, and language understanding systems. Experience with various NLP libraries and frameworks.
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AI System Integration
Proficient in integrating AI models into existing systems, developing APIs, and creating scalable AI solutions.
Tools & Technologies
AI Frameworks
- TensorFlow
- PyTorch
- Hugging Face Transformers
- OpenAI API
Development Tools
- Python ML Libraries
- Jupyter Notebooks
- CUDA/GPU Computing
- Docker Containers
Related Projects
Certifications & Achievements
Professional Certifications
- Deep Learning Specialization - Coursera
- TensorFlow Developer Certificate
- Natural Language Processing Certification
Learning Resources
Books
- Deep Learning - Ian Goodfellow
- Natural Language Processing with Transformers
- Artificial Intelligence: A Modern Approach
Online Courses
- Fast.ai Deep Learning Course
- Stanford CS224N: NLP with Deep Learning
- Practical Deep Learning for Coders