Presentations

Here you can find some of my presentations:

• LLM Fundamentals & Limitations An overview of large language models, including generative language modeling theory, training steps (Pre-training, SFT, Alignment), perplexity (PPL) metrics, and core constraints.

• Vector Search & Embeddings 101 An introduction to semantic and vector search, inverted indexing (TF-IDF/BM25), embeddings representational learning (Word2Vec, BERT), and vector databases. Includes an interactive similarity graph embed.

• RAG & Advanced Retrieval Techniques An introduction to advanced RAG concepts, hybrid search (Sparse + Dense), Reciprocal Rank Fusion (RRF), Bi-Encoders vs. Cross-Encoders, chunking strategies, and production RAG architectures.

• Building Agentic Systems An overview of autonomous agents, including planning loops (ReAct, Tree of Thoughts), memory architectures (short-term vs. long-term memory), tool calling, and multi-agent systems (MetaGPT SOPs).