PhD Journey in Image-Related AI: From Heidelberg to Triumph
- Authors
- Published on
- Published on
In this electrifying episode of AI Coffee Break, our fearless host embarks on a riveting journey through the tumultuous seas of academia. With the tenacity of a lion and the curiosity of a child, she delves into the realm of image-related AI and ML, sparked by a fascination with image processing during her master's studies. The PhD voyage kicks off in Heidelberg, where she joins forces with a daring professor to unravel the mysteries of multimodal understanding, blending image and text analysis with the finesse of a maestro.
As the tides of research ebb and flow, our intrepid explorer navigates the treacherous waters of deep learning models, from the archaic CNNs and LSTMs to the cutting-edge transformer encoders and decoders. Collaborations bloom like wildflowers in spring, as she hones her skills through networking and conference escapades, forging alliances in the fiery crucible of academia. Teaching duties add a spicy twist to the concoction, enhancing her communication prowess and extending the PhD saga with their time-consuming embrace.
Amidst the chaos of thesis writing and last-minute experiments, our valiant hero discovers the true essence of perseverance and grit. The PhD defense looms on the horizon like a mighty kraken, with a 75-minute battle of wits and wisdom culminating in a victorious emergence from the depths of academia. The crowning glory awaits in the form of a bespoke PhD hat, a symbol of triumph crafted by fellow scholars in a clandestine ritual of camaraderie and support. As the dust settles and the echoes of the defense fade, our protagonist stands tall, a beacon of inspiration for aspiring PhD adventurers worldwide.
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Image copyright Youtube
Watch My PhD Journey in AI / ML (while doing YouTube on the side) on Youtube
Viewer Reactions for My PhD Journey in AI / ML (while doing YouTube on the side)
Viewers are congratulating Letitia on her PhD accomplishment and thanking her for sharing her journey
Some viewers appreciate Letitia's efforts in teaching and making machine-learning courses understandable
There is a mention of Letitia's impact on lowering the barrier of learning ML for people with natural science backgrounds
A viewer appreciates the Shap reference in the video
Some viewers express interest in reading Letitia's PhD thesis or watching more of her videos
There is a question about methods to detect hallucinated content or expose training data used to generate an answer
Letitia is praised for her personal and professional growth
Some viewers express admiration and fandom for Letitia
One viewer mentions meeting Letitia at ACL and wishes her the best for the future
Related Articles
PhD Journey in Image-Related AI: From Heidelberg to Triumph
Join AI Coffee Break as the host shares her captivating PhD journey in image-related AI and ML, from Heidelberg to deep learning research, collaborations, teaching, and the triumphant PhD defense. A tale of perseverance, growth, and academic triumph.
Revolutionizing Text Generation: Discrete Diffusion Models Unleashed
Discover how discrete diffusion models revolutionize text generation, challenging autoregressive models like GPT with improved coherence and efficiency. Explore the intricate process and promising results of SEDD in this AI Coffee Break episode.
Unveiling the Power of Transformer Architectures in Language Modeling
Discover how Transformer architectures mimic Turing machines and how Transformers with Chain of Thought can simulate probabilistic touring machines, revolutionizing language models. France Novak explains the computational power of llm architectures in natural language processing.
Unveiling the Truth: Language Models vs. Impossible Languages
Join AI Coffee Break with Letitia as they challenge Chomsky's views on Language Models, presenting groundbreaking research on "impossible languages." Discover how LLMs struggle with complex patterns, debunking claims of linguistic omniscience. Explore the impact of the study on theoretical linguistics and the rationale behind using GPT-2 models for training. Buckle up for a thrilling linguistic journey!