Groq's Hardware and Software Approach to LLM inference + LinkedIn AutoResponder

2 Part Mini-Talks

1. Groq's Hardware and Software Approach to LLM inference
2. LinkedIn AutoResponder + two more LLM/FM enabled projects from end-to-end

Speakers

1. Valentin Reis, PhD. of Groq (Hardware Accelerated AI Inference)
2. Jason Gauci, PhD.
   The past few years have seen remarkable advances in AI. With these advances have come some uncertainty. How can mid-senior engineers and scientists skill-up in the latest technology? Will incoming engineers still have careers in coding? In this candid, informal talk, Jason Gauci will dive into three separate projects he has built that have foundation models at the center of the project. From the initial concept to full implementation, Jason will share the real-world challenges and triumphs encountered along the way. Whether you’re looking to deepen your understanding of AI or seeking practical guidance on navigating the shifting career landscape, this talk will provide valuable insights and actionable strategies to help you thrive in the age of AI.

Info
Austin Deep Learning Journal Club is group for committed machine learning practitioners and researchers alike. The group typically meets every first Tuesday of each month to discuss research publications and industry insights.

Sponsors:
Capital Factory (Austin, Texas)
Antler