Daryle Serrant
Daryle Serrant is a Software, Data, and ML Pro who helps businesses solve complex problems and make strategic decisions using data. With broad skills in machine learning, web and mobile app development, and embedded systems, he delivers results beyond traditional data science. Daryle has developed an ETL process saving over $336k, an AI tool saving $150k, and an MVP grossing $10k in sales. What sets him apart is his ability to analyze data and develop custom software solutions, making data accessible and actionable. He is also an experienced data science and coding instructor for learners of varying technical skills. Daryle is ready to consult, develop machine learning models, design intuitive apps, and train teams to succeed.
Speaker Sessions
Use AI To Perform Advanced Analytics With JuliusAI
Explore Julius AI, a data analytics platform, in a 1-hour workshop, learning to link data, analyze spreadsheets, and generate insights.
Build Production-Ready Applications With Langchain - Part 1
In a 1-hour workshop, we'll explore LangChain, a key library for LLM apps, introducing templates, chains, parsers.
Build Production-Ready Applications With Langchain - Part 2
Exploring advanced LangChain concepts like retrieval, vector stores, agents in our workshop with hands-on examples.
Building Interactive Machine Learning Apps with Gradio
Understand the core concepts and uses of Gradio for machine learning interfaces, learn to build interactive web interfaces for ML models using Gradio, explore advanced Gradio functionalities like state management and custom styling and gain practical experience in integrating Gradio with different types of machine learning models.
Build a Retrieval Augmented Generation (RAG) Application With LlamaIndex
Exploring LlamaIndex, a toolset for data-enabled LLM apps, introducing data connectors, indices, and queries.
Hands on Workshop OpenAI's Fine-Tuning API
Setup a custom dataset for fine-tuning GPT3.5 Turbo, Fine-tune GPT-3.5-turbo on you custom task and deploy and test your fine-tuned model
Build Interactive LLM Applications Using OpenAI's Assistants API
Learn to create AI assistants using OpenAI's Assistants API in our workshop with hands-on coding examples.
Scale RAG applications with Pinecone and Canopy
Daryle introduces Canopy, a framework empowering developers to effortlessly build scalable GenAI applications using Retrieval Augmented Generation (RAG). Expect engaging live demos and hands-on exercises.