MonsterAPI | Finetune your own SLM, fraction of Size and Price of ChatGPT #82
Description
Title of the Talk: No Code SLM Finetuning with MonsterAPI
Abstract of the Talk:
Dive into the world of no-code large language model (LLM) finetuning in this informative talk presented by MonsterAPI. We'll introduce the essentials of language models, highlight the benefits of small language models (SLMs), and showcase how to finetune your own SLMs effortlessly without any coding skills. The session will emphasize cost-effective AI solutions, enhancing operational efficiency, and ensuring privacy with private models. Attendees will also witness a live demonstration to see firsthand the simplicity and power of no-code finetuning.
Category of the Talk Data Science, Machine Learning, and AI
Duration (including Q&A) 30 minutes (30 minutes talk + 15 minutes Q&A)
Level of Audience Beginner to Intermediate
Speaker Bio
I'm Ramachandra Vikas Chamarthi, Head of AI/ML at Generative Cloud Inc., where I manage innovative platforms like MonsterAPI and Qblocks.cloud. Specializing in AI, high-performance computing (HPC), and MLOps systems, I focus on integrating advanced technologies to solve complex challenges at scale.
Education: Masters in Computer Engineering, The Univesity of North Carolina at Charlotte.
Email: [email protected]
Years of Experience: 6
Prerequisites (if any) No prerequisites are necessary for this talk. It is designed to be accessible for attendees with an interest in AI and ML, looking for cost-effective and efficient technology solutions. Participants will gain insights into leveraging low-code platforms for AI model finetuning.