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Hamel Husain

machine learning engineer with extensive industry experience and a passion for building ML infrastructure and tools

Top 5 podcasts with Hamel Husain

Ranked by the Snipd community
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142 snips
Jul 23, 2024 • 1h 20min

Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - #694

Hamel Husain, founder of Parlance Labs, discusses building real-world LLM products. Topics include fine-tuning LLMs, challenges in development, open-source tools like Axolotl, LoRA adapters, model optimization, systematic evaluation techniques, and the importance of data generation and curation.
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13 snips
Nov 14, 2023 • 1h 8min

Episode 21: Deploying LLMs in Production: Lessons Learned

Guest Hamel Husain, a machine learning engineer, discusses the business value of large language models (LLMs) and generative AI. They cover common misconceptions, necessary skills, and techniques for working with LLMs. The podcast explores the challenges of working with ML software and chat GPT, the importance of data cleaning and analysis, and deploying LLMs in production with guardrails. They also discuss an AI-powered real estate CRM and optimizing marketing strategies through data analysis.
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11 snips
Sep 25, 2024 • 1h 9min

Why Your AI Product Needs Evals with Hamel Husain and Swyx

Hamel Husain, a veteran AI consultant and engineer with a rich background at GitHub and Airbnb, teams up with Swyx, the founder of the AI Engineer World Fair. Together, they delve into the vital role of evaluations in AI product development and discuss common pitfalls that developers face. They explore the concept of literate programming, highlighting its potential to enhance software quality. The conversation reveals the importance of understanding AI prompts and effective metrics to navigate the complexities of AI innovation.
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5 snips
Jun 26, 2024 • 1h 30min

Episode 29: Lessons from a Year of Building with LLMs (Part 1)

Experts from Amazon, Hex, Modal, Parlance Labs, and UC Berkeley share lessons learned from working with Large Language Models. They discuss the importance of evaluation and monitoring in LLM applications, data literacy in AI, the fine-tuning dilemma, real-world insights, and the evolving roles of data scientists and AI engineers.
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Jun 26, 2024 • 1h 15min

Episode 30: Lessons from a Year of Building with LLMs (Part 2)

Explore insights from Eugene Yan, Bryan Bischof, Charles Frye, Hamel Husain, and Shreya Shankar on building end-to-end systems with LLMs, the experimentation mindset for AI products, strategies for building trust in AI, the importance of data examination, and evaluation strategies for professionals. These lessons apply broadly to data science, machine learning, and product development.