Mandoline - Model Evaluation under Distribution Shift
Explores a novel framework for evaluating machine learning models under distribution shifts, using slice-based reweighting to improve performance estimation on target distributions.
How You Can Use ChatGPT to Increase Your Creative Output
Explore practical applications of ChatGPT for enhancing creativity and innovation in various professional fields through real-world examples and in-tool demonstrations.
Alphy and Alphy Reflect - Creating a Reflective Mirror to Advance Women
Explore innovative social media platform designed to empower women through inspiring content, educational resources, and reflective communication tools, fostering a supportive community for personal growth.
Graph Analysis of Russian Twitter Trolls Using Neo4j
Explore graph analysis of Russian Twitter trolls using Neo4j. Learn about data collection, NLP, graph algorithms, and visualization techniques to uncover social media influence patterns.
How to Use ChatGPT to Increase Your Creative Output - Part Two
Discover advanced ChatGPT prompting techniques to enhance creativity, boost productivity, and generate high-quality outputs. Learn to optimize results and streamline your workflow.
Aligning Open Language Models - Stanford CS25 Lecture
Explore the evolution of open language models, covering key techniques, datasets, and models like Alpaca and QLoRA. Gain insights into the future of aligning these models for easier use.
AI in the Workplace: Rethinking Skill Development
Explore the impact of Generative AI on workplace training, employee duties, and skill development. Learn strategies for integrating AI tools to enhance individual and team performance in the evolving work landscape.
Jacob Andreas - Natural Language Explanations of Deep Networks
Explore strategies for generating natural language explanations of deep networks, covering medical diagnosis, multiagent communication, and neuron descriptions in AI systems.
Large Language Models - Will They Keep Getting Bigger?
Explore the future of large language models, discussing scaling challenges, sparse mixtures of experts, improved prompting techniques, and new forms of supervision for enhanced NLP performance.
Natural Language Processing
This course provides an understanding of natural language processing, its tools, techniques, philosophy and principle. Topics covered include sound, words and word forms, structures, meaning, and web 2.0 applications
Applied Natural Language Processing
Explore natural language processing techniques, from corpus operations to advanced neural networks, for applications in machine translation, topic modeling, and conversation systems.
Natural Language Processing
Accelerated introduction to NLP, covering machine learning basics, text preprocessing, vectorization, and advanced neural network architectures like RNNs, LSTMs, and Transformers.
Digital Speech Processing
Explore digital speech processing, from production and perception to analysis techniques like LPC and STFT. Learn about phonetics, speech synthesis, and recognition for technology development.
Validating Daily Social Media Macroscopes of Emotions
Explore how social media sentiment analysis can accurately measure daily emotional dynamics of online communities, validated through surveys and applied to COVID-19 impact studies.
Ousiometrics and Telegnomics - Measuring Essential Meaning and Remote Knowledge
Explore the study of essential meaning and remotely sensed knowledge through innovative frameworks, examining language patterns, storytelling, and temporal dynamics in various contexts.
Text-Based Timeline Analysis and New Instruments for the Science of Stories
Exploring Twitter data as a telescope for observing collective human thought, revealing insights into sentiment, narrative power, and social dynamics through innovative text analysis techniques.
Cognitive Maps in Large Language Models - Multiscale Predictive Representations
Explore cognitive maps in large language models, their performance in graph-based tasks, and implications for AI and neuroscience with Ida Momennejad.
Just Machine Learning: Challenges and Governance in the Age of AI
Explore the impact of AI on society, challenges of generative AI tools, and the need for digital literacy and governance in rapidly evolving technology landscapes.
Nature of Intelligence - What is Intelligence? - Episode 1
Explore the concept of intelligence, comparing human and machine cognition, and discuss AI's potential impact on society with experts John Krakauer and Alison Gopnik.
Sentiment Analysis with-without NLTK Python
Learn to perform sentiment analysis in Python, covering text cleaning, tokenization, emotion detection, and visualization, with optional NLTK integration for advanced analysis.
Generating Python Code with GPT
Learn to create a GPT-2 model for Python code generation, covering data acquisition, cleaning, preprocessing, tokenization, training, and testing.