Ankit is a seasoned product manager with a passion for delivering products that make a meaningful impact in the B2B and B2C technology space. With over a decade of experience in product, Ankit has successfully driven long-term value through his innovative approach and strong customer focus. Holding four patents, he is a dedicated advocate for product innovation, building cross-functional relationships, and staying ahead of emerging technology trends. PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=U4r2IWkBOnA https://www.youtube.com/watch?v=BsePWXRU_7A

ChatGPT was a revolution nobody was ready for. All the social channels have been flooded with prompts and answers which look ok at first glance but turn out to be counterfeit. Factuality is the biggest concern about Large Language Models, not only the OpenAI product. If you build an app with LLMs, you need to be aware of this. Retrieval Augmented Language Models seem to be the solution to overcome that issue. They combine LLMs' language capabilities and the knowledge base's accuracy. The talk will review possible ways to implement it with humans in the loop. PUBLICATION PERMISSIONS:
Original video was published with the Creative Commons Attribution license (reuse allowed). Link: https://www.youtube.com/watch?v=kszZBp_R59o https://www.youtube.com/watch?v=yU3spOGYKWg

This fun and visual talk shows how to create a perfect (but impractical) physics engine in Python. The key is Python’s SymPy, a free package for computer algebra. The physics engine turns parts of physics, mathematics, and even philosophy into Python programming. We’ll learn about: Simulating 2-D Newtonian physics such as Newton’s Cradle and the two-ball drop
Having the computer solve math problems too hard for us to personally solve
The surprising (even to physicists) non-determinism of a billiards break
Thoughts on making the simulator more practical
If you are an enthusiast interested in what Python can do in other fields, or an expert interested in the limits of simulation and programming, this talk is for you! PUBLICATION PERMISSIONS:
PyData Organizers provided Coding Tech with the permission to republish PyData tech talks. CREDITS:
PyData YouTube channel: https://www.youtube.com/@PyDataTV https://www.youtube.com/watch?v=rvA1RP5qOnY