Building AI Agents and Vector Search
Join Gad Benram, CEO at TensorOps and Guy Eshet, Product manager at Qwak, to learn how data teams and organizations are building AI based search solutions at scale. During this session, we’ll see how to simplify AI and ML development for efficient and cost-effective embedding models and LLM deployments. We’ll guide you through the possibilities for building advanced AI agents and implementing vector search capabilities for your own data.
Additionally, we’ll go through the following topics:
- Using LLMs for enhanced language processing and understanding
- Deploying embedding models for advanced information retrieval
- Building, deploying and monitoring AI agents in production
Whether you are a data scientist, AI developer, or product manager, this webinar will provide you with valuable insights and practical knowledge to enhance your AI projects.
Join upcoming demo
Join Gad Benram, CEO at TensorOps and Guy Eshet, Product manager at Qwak, to learn how data teams and organizations are building AI based search solutions at scale. During this session, we’ll see how to simplify AI and ML development for efficient and cost-effective embedding models and LLM deployments. We’ll guide you through the possibilities for building advanced AI agents and implementing vector search capabilities for your own data.
Additionally, we’ll go through the following topics:
- Using LLMs for enhanced language processing and understanding
- Deploying embedding models for advanced information retrieval
- Building, deploying and monitoring AI agents in production
Whether you are a data scientist, AI developer, or product manager, this webinar will provide you with valuable insights and practical knowledge to enhance your AI projects.
JFrog ML helps companies deploy AI in production
