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Language & Reasoning
Building AI capable of understanding language, generating information, utilizing knowledge, and performing reasoning.
LEARNING
Text Processing, Tokenization, Text Classification, Sentiment Analysis, Named Entity Recognition, Text Similarity, Information Extraction, Embedding, Semantic Search, Language Models.
OUTPUT
Text classifier, Search system, NLP experiment, Information extraction system, Research.
LEARNING
Generative Models, LLM, Prompt Engineering, Embedding, RAG, AI Agents, Fine-tuning, Evaluation, Multistep AI Workflow.
Inside Generative AI
- LLM: Transformer architecture, LLM fundamentals, Prompting, Context management, Embeddings, Model evaluation.
- RAG: Document processing, Chunking, Embedding, Vector database, Retrieval, Reranking, Grounded generation.
- AI Agents: Tool calling, Function calling, Agent workflow, Memory, Planning, Multi-agent system.
- Reasoning: Structured reasoning, Planning, Problem decomposition, Verification, Reasoning evaluation.
OUTPUT
RAG application, AI Agent, LLM application, Knowledge assistant, AI research, AI-powered product.