Talks
Conference talks, workshops, and presentations.
Conference talks, workshops, and live coding sessions on RAG, vector databases, multimodal AI, LLM fine-tuning, and coding agents. Want me to speak at your event? Reach out via my social links.
How advanced tool calling transforms agentic use cases: A conversation with Moonshot AI
Together AI
GPT-OSS: Deep Dive + Live Q&A with OpenAI's Dominik Kundel
Together AI
LLM-as-a-Judge Evals: Comparing Kimi, Qwen, and GLM
Together AI
A new course on Retrieval Augmented Generation (RAG) is live!
DeepLearningAI
End to end coding agent examples
Together AI
Code Execution for Coding Agents
Together AI
Retrieval and Context in coding agents
Together AI
Function Calling in Coding Agents
Together AI
How to build a coding agent from scratch
Together AI
Learning Together Episode 1: Matryoshka Principles for Adaptive Intelligence
Together AI
Finetuning 3.0 – How to finetune models on Together AI
Together AI
ColPali's Vision-Powered RAG for Enterprise Documents | PyData Global 2024
PyData
DeepSeek-R1: How It Works, Simplified!
Together AI
Kernels: High Performance Building Blocks for AI
Together AI
Fine-tuning Large Language Models
Together AI
A Deep Dive Into The RedPajama Datasets
Together AI
Scaling Vector Database Usage Without Breaking the Bank - Quantization and Adaptive Retrieval
Toronto Machine Learning Series (TMLS)
How to Build Multimodal Document RAG with Llama 3.2 Vision and ColQwen2
Together AI
Building Scalable Multimodal Search Applications with Python
EuroPython Conference
RAG Insights w/ Sebastian Witalec & Zain Hasan (Weaviate)
AI Tinkerers Ottawa
Learn Advanced RAG Tricks with Zain
Weaviate • Vector Database
Using Vector Databases for Multimodal Search and Retrieval Augmented Generation
Data Phoenix Events
Make Your RAG Workflow "WOW" with Weaviate and Generative Feedback Loops
Yujian Tang
Powering Vector Search with Real-Time Data
Quix
LLM Bootcamp - Day 2 Highlights
Data Science Dojo
Vector Quantization: The Vector Clubhouse Episode 2
Weaviate • Vector Database
Using Retrieval Augmented Generation (RAG) in Production | Weaviate x Merantix AI Campus
Merantix AI Campus
Advanced Retrieval-Augmented Generation Techniques
Plain Schwarz
Better Chatbots with Advanced RAG Techniques
Toronto Machine Learning Society (TMLS)
Using Vector Databases for Multimodal Embeddings and Search - NDC London 2024
NDC Conferences
How I Built a Super-Doctor Using Advanced RAG
John Snow Labs
Vector embedding models for AI
Weaviate • Vector Database
Building Chatbots with Retrieval-Augmented Generation Techniques | Conf42 LLMs 2024
Conf42
Building Multi-Modal Search and RAG with Vector Databases | LLMOps
LLMOps Space
Matryoshka Embeddings - Weaviate Podcast #89
Weaviate • Vector Database
Building Multi-Modal Search with Vector Databases
DeepLearningAI
Semantic Search: A Deep Dive Into Vector Databases
Developer Voices
Using Vector DBs to Scale Multimodal Embeddings, Retrieval & Generation
OpenSource Connections
Going Beyond Vector Search and RAG - Semantic Kernel Community
Alex Chao
Using Weaviate with the Semantic Kernel pt.1 | Semantic Kernel Community
Alex Chao
Vector Search - A gentle introduction
Open Data Science
ControlNet for Interior Design & Weaviate Vector Database for Multimodal AI
TwelveLabs
Computer Vision Applications at Scale with Vector Databases
Voxel51
A gentle introduction to Vector Databases | Conf42 Machine Learning 2023
Conf42
Using Weaviate for building Generative AI apps
Hasgeek TV
Sam Bean, Zain Hasan, and John Trengrove on You.com and Spark - Weaviate Podcast #32
Weaviate • Vector Database