Jay Alammar

OCTOBER 3, 2022

Your browser does not support the video tag. Your browser does not support the video tag. In actuality, CLIP was trained on images crawled from the web along with their “alt” tags. We can visualize a set of these latents to see what information gets added at each step. The process is quite breathtaking to look at.

Neural Network 98

Neural Network Explainability Computer Vision BERT 98

Heartbeat

DECEMBER 13, 2023

5️⃣ Monk and Fox Take Over LA Schedule & Results Transactions More 2022-23 Kings Pages Game Log Splits Lineups On/Off Starting Lineups Depth Charts Referees On this page: Roster Assistant Coaches and Staff Team and Opponent Stats Team Misc Per Game Totals Per 36 Minutes Per 100 Poss Advanced Adjusted Shooting Sacramento Kings record 2022-23.

LLM 52

LLM Metadata Deep Learning Automation 52

Jay Alammar

DECEMBER 16, 2020

Retrieved from [link] BibTex: @misc{alammar2020explaining, title={Interfaces for Explaining Transformer Language Models}, author={Alammar, J}, year={2020}, url={[link] } References Citation If you found this work helpful for your research, please cite it as following: Alammar, J.

Explainability 52

Explainability Auto-complete Auto-classification Neural Network 52

Sebastian Ruder

NOVEMBER 14, 2022

The model uses different embeddings for POS tags, stems, and affixes (Nzeyimana & Rubungo, 2022). BibTeX citation: @misc{ruder2022statemultilingualai, author = {Ruder, Sebastian}, title = {{The State of Multilingual AI}}, year = {2022}, howpublished = {url{[link] } van Esch, D., The KinyaBERT model for Kinyarwanda. Lucassen, T.,

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics AI 52

Sebastian Ruder

AUGUST 23, 2021

Key examples of these trends are a transition from a focus on core linguistic tasks such as part-of-speech tagging and dependency parsing to tasks that are closer to the real-world such as goal-oriented dialogue and open-domain question answering ( Kwiatkowski et al.,

NLP 52

NLP Natural Language Processing ML Deep Learning 52