Eğitim İçeriği
•Doğal Dil İşlemeye Genel Bakış
•Doğal Dil İşleme Uygulama Alanları
• Doğal Dil İşleme Algoritmaları
• Natural Language Toolkit (NLTK)
- • Natural Language Toolkit'e Genel Bakış
- • Corpus & Corpora
- • Tokenization
- • Stop Words
- • Stemming
- • PoST
- • Named Entity Recognition
- •Lemmatization
- • Vectorization : Bag-of-Words, TF-IDF, Word2Vec
- • ve dahası…
• NLP vs. LLMs
•Büyük Dil Modellerine (LLMs) Genel Bakış
• Transformer Mimarisi
• Attention ve Self-Attention
• Encoder-Decoder
• Hugging Face Model Hub
•Prompt Engineering
- • Zero-Shot, Few-Shot, Chain-of-Thought Örnekleri
- • Prompt Tasarımında Yapılan Tipik Hatalar
- • Gelişmiş Prompt Tektikleri
•LLMs vs. AI Agents
•AI Agents vs. Agentic A
• Prompt Chaining
• Routing
• Parallelization
•Reflection
• Tool Use
• Planning
• Multi-Agent
• Memory Management
• Model Context Protocol (MCP)
• Exception Handling
•Human-in-the-Loop
•Knowledge Retrieval (RAG)
• Inter-Agent Communication (A2A)
• Reasoning Techniques
• Guardrails/Safety Patterns
•Evaluation and Monitoring
• Prioritization
• MLOps'a Genel Bakış
• LLMOps'a Genel Bakış
• ML System Lifecycle
•MLaaS : Machine Learning as a Servic
• LLM Application Deployment
• Yapay Zeka Güvenliğine (AI Security) Genel Bakış
• LLM Security
•OWASP LLM Security Top 10 : LLM Uygulamalarındaki Güvenlik Zafiyetler