#aiinfrastructure #ai #generativeai Lin Qiao, CEO of Fireworks AI, talks to @JonKrohnLearns about how she builds effective models quickly, why coding agents can perform at the level of a junior engineer, and what she attributes to the success of Fireworks AI: True to its name, the company exploded into the AI industry with over $300 million secured in venture capital, as well as netting a further $250 million Series C funding. For Lin, many enterprises miss out by not being familiar with open models. Open models give a lot of control to the user, offering customizability and at a much lower price point. Listen to hear how Fireworks AI helps companies continue to save money through AI. This episode is brought to you by: • Dell: http://www.dell.com/dellproaistudio • Intel: https://www.dell.com/en-us/shop/dell-laptops/scr/laptops/appref=all-intel-processors-processor-brand • Acceldata: https://www.acceldata.io/free-trial • Cisco: https://agntcy.org/ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: • (00:00:00) Introduction • (00:01:19) All about Fireworks AI • (00:24:50) Why companies need to take notice of open models • (00:34:35) The commercial viability of slow-reasoning models • (00:30:38) Fireworks AI’s approach to model performance evaluations Additional materials: https://www.superdatascience.com/971