Banjo Obayomi

Navigating through complex cloud solutions can be a daunting task. In this session, see how generative AI can help solve this problem by building an AWS solutions architect agentic app.

Have you ever wondered how well an LLM can play video games? This captivating chalk talk explores how to build LLM bots to excel in video games, unveiling techniques that can be applied across various fields.

Generative AI is transforming full-stack development. In this session, learn how AWS Amplify, Amazon Q, and Amazon Bedrock work together to streamline building generative AI applications.

Learn to build generative AI applications on AWS using PartyRock and Amazon Bedrock. You will gain skills in prompt engineering and using the Bedrock API. We will also explore how to 'chat with your documents' through knowledge bases, retrieval augmented generation (RAG), embeddings, and agents. We will also use Amazon Q Developer to assist in coding and debugging.

Navigating AI application development can be intricate. In this chalk talk, explore how to unlock the power of Amazon Bedrock, the easiest way to build and scale generative AI applications with foundation models.

Navigating through complex cloud solutions can be a daunting task. In this session, see how generative AI can help solve this problem by building an AWS solutions architect agent.

Natural language processing (NLP) models allow you to build applications that can classify text at scale. By using Hugging Face transformers, you can build models specializing in various NLP tasks from text classification to text summarization.

Serverless services allow you to build applications without having to worry about the underlying infrastructure. This allows developers to avoid provisioning, scaling, and managing resource utilization.