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#In-context Learning

Showing: 41 courses
Stanford University

Stanford Seminar 2022 - Transformer Circuits, Induction Heads, In-Context Learning

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Explore reverse engineering of transformer language models, focusing on induction head circuits and their role in in-context learning. Gain insights into neural network interpretability and AI safety.
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1 Lesons
1 hour
On-Demand
Free-Video
Association for Computing Machinery (ACM)

In-Context Learning: How to Stop Worrying and Love Applied Information Retrieval - Lecture 1

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Explore in-context learning in LLMs and its impact on applied information retrieval, focusing on practical applications and overcoming challenges.
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1 Lesons
13 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

How Many Labelled Examples Do You Need for a BERT-sized Model to Beat GPT4 on Predictive Tasks?

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Explore the effectiveness of in-context learning vs. labelled data for predictive tasks, comparing BERT-sized models to GPT-4 in text categorization and entity recognition.
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1 Lesons
28 minutes
On-Demand
Free-Video
Simons Institute

Towards Understanding Modern Alchemy - Transformers as a Computational Model

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Explore in-context learning of formal languages, comparing Transformers to other models and examining specialized "n-gram heads" for improved performance in language modeling.
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1 Lesons
37 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Adaptive In-Context Learning with Large Language Models for Bundle Generation - Recommendation Systems

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Explore adaptive in-context learning techniques for bundle generation using large language models in recommendation systems.
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1 Lesons
15 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

The Dynamics of Memorization and Generalization in Deep Learning

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Explore the complex interplay between memorization and generalization in deep learning models, examining strategies to mitigate unwanted memorization and the impact of pruning techniques on learning outcomes.
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1 Lesons
52 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Two Stories in Mechanistic Interpretation of Natural and Artificial Neural Computation

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Explore two stories in mechanistic interpretation of neural computation, covering in-context learning in Transformers and insights into linear regression tasks using linear attention models.
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1 Lesons
55 minutes
On-Demand
Free-Video
Simons Institute

Toward Understanding In-Context Learning

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Dive into the mechanisms of in-context learning in large language models, exploring theoretical explanations and simplified data distributions with Stanford's Tengyu Ma.
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1 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Simons Institute

In-Context Principle Learning from Mistakes

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Explore Uri Alon's insights on in-context principle learning from mistakes, focusing on emerging generalization settings in AI and machine learning.
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1 Lesons
58 minutes
On-Demand
Free-Video
Montreal Robotics

Building Adaptable Generalist Robots

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Explore cutting-edge approaches for building adaptable generalist robots, focusing on in-context learning, unsupervised reinforcement learning, and leveraging foundation models for improved generalization and task versatility.
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1 Lesons
48 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Emergence and Reasoning in Large Language Models

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Explore emergence and reasoning in large language models with Google researcher Jason Wei, delving into self-supervised statistical models and their implications.
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1 Lesons
52 minutes
On-Demand
Free-Video
Discover AI

In-Context Learning Over Graphs for Large Language Models - PRODIGY Method

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Explore PRODIGY, Stanford's innovative approach to graph machine learning that enables in-context learning for classification tasks on unseen graphs, advancing LLM reasoning capabilities.
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1 Lesons
58 minutes
On-Demand
Free-Video
Discover AI

Beyond Mamba AI: Vector Fields and Fluid Dynamics in Transformer Models - Session 6

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Explore the intersection of fluid dynamics and AI transformers, examining mathematical frameworks and theoretical physics concepts to enhance understanding of advanced neural network architectures.
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1 Lesons
57 minutes
On-Demand
Free-Video
Discover AI

In-Context Learning - Comparing Extreme Context Length with Fine-Tuning and RAG

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Explore groundbreaking research on in-context learning with extended context models, comparing performance against fine-tuning and RAG methods while examining scaling impacts and demonstration effectiveness.
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1 Lesons
22 minutes
On-Demand
Free-Video
Discover AI

Understanding DSPy - Programming AI Pipelines for Language Models

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Explore DSPy's innovative approach to AI pipeline programming, from its ColBERT v2 origins to practical applications in modular pipeline generation and self-improving language programs.
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1 Lesons
28 minutes
On-Demand
Free-Video
Discover AI

Unsupervised In-Context Learning Plus: From Few-Shot to Many-Shot Learning in Large Language Models

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Explore advanced In-Context Learning techniques for Large Language Models, from few-shot to many-shot approaches, focusing on unsupervised learning and autonomous capabilities with 1M token context.
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7 Lesons
31 minutes
On-Demand
Free-Video
Discover AI

DSPy for In-Context Learning and RAG Classification - Code Explained

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Explore state-of-the-art extreme multi-label classification using DSPy's Infer-Retrieve-Rank program, combining frozen retrieval with in-context learning for optimal results.
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1 Lesons
29 minutes
On-Demand
Free-Video
Discover AI

ChatGPT Prompt Engineering with In-Context Learning - 7 Examples

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Master prompt engineering techniques through 7 practical examples, from zero-shot prompting to reverse Turing tests, while exploring innovation theory and strategic AI applications.
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1 Lesons
13 minutes
On-Demand
Free-Video
Discover AI

ChatGPT Prompt Engineering with In-Context Learning Using OpenAI API

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Master prompt engineering techniques for ChatGPT with hands-on practice using In-Context Learning and OpenAI API integration in Python through a practical COLAB environment.
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1 Lesons
12 minutes
On-Demand
Free-Video
UofU Data Science

Uncertainty, Prompting, and Chain-of-Thoughts in Large Language Models - Part 2

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Dive into advanced AI concepts including temperature scaling, Bayesian calibration, prompt-based finetuning, and chain-of-thought techniques for more reliable and explainable language models.
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11 Lesons
1 hour 21 minutes
On-Demand
Free-Video
Discover AI

Fine-tuning ChatGPT with In-Context Learning - Chain of Thought, AMA, and ReAct Reasoning

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Master advanced in-context learning techniques like Chain-of-Thought and ReAct to optimize ChatGPT's performance without expensive fine-tuning, based on latest research insights and practical applications.
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1 Lesons
37 minutes
On-Demand
Free-Video
Discover AI

Instruction Fine-Tuning and In-Context Learning of Large Language Models with Symbols

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Delve into advanced concepts of LLM instruction fine-tuning and in-context learning, exploring symbol tuning, FLAN-PaLM models, and cutting-edge research developments.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
AutoML Seminars

MotherNet: A Foundational Hypernetwork for Tabular Classification

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Discover how MotherNet hypernetwork architecture revolutionizes tabular classification by generating optimized neural networks through in-context learning, offering faster training and competitive performance against XGBoost.
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1 Lesons
58 minutes
On-Demand
Free-Video
Graham Neubig

CMU Advanced NLP: How to Use Pre-Trained Models

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Explore advanced techniques for leveraging pre-trained models in NLP, including fine-tuning, linear probing, and in-context learning. Gain insights into empirical observations and mental models for effective implementation.
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17 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Simons Institute

Pretraining Task Diversity and the Emergence of Non-Bayesian In-Context Learning for Regression

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Explores how task diversity in pretraining affects transformers' in-context learning abilities for regression, revealing a threshold beyond which models can solve novel tasks and outperform Bayesian estimators.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Simons Institute

In-Context Learning: A Case Study of Simple Function Classes

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Exploring in-context learning capabilities of AI models, focusing on Transformers and LSTMs for learning basic function classes, with insights on evaluation and architectural differences.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Data Science Dojo

AI Mastery: Ultimate Crash Course in Prompt Engineering for Large Language Models

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Master prompt engineering for AI models: craft effective prompts, explore techniques like n-shot and chain-of-thought, and learn practical tips to enhance communication with language models.
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21 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Yacine Mahdid

In-Context Learning in Deep Learning - How It Works in Large and Small Language Models

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Explore in-context learning in LLMs: definition, significance, Bayesian framework, and implementation. Gain insights into this surprising capability of language models and its implications for AI.
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6 Lesons
12 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Do Pretrained Transformers Learn In-Context by Gradient Descent?

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Explore the relationship between In-Context Learning and Gradient Descent in large language models, examining theoretical connections and empirical evidence from pre-trained transformers.
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1 Lesons
15 minutes
On-Demand
Free-Video
Snorkel AI

Supercharging LLM Performance Without AI Training

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Discover techniques to enhance large language model performance without additional training, focusing on innovative approaches and collaborative research findings.
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1 Lesons
20 minutes
On-Demand
Free-Video
Discover AI

Understanding Task Vectors in Vision-Language Models - Cross-Modal Representations

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Explore how Vision-Language Models create task vectors - internal representations enabling cross-modal performance through text and images, revolutionizing AI's ability to understand and execute diverse tasks.
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1 Lesons
23 minutes
On-Demand
Free-Video
Discover AI

SETFIT Few-Shot Learning for SBERT Text Classification - Part 43

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Discover how SETFIT's few-shot learning approach revolutionizes text classification, outperforming GPT-3 while using SBERT Sentence Transformers for efficient processing with limited training data.
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10 Lesons
19 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Informative Example Selection for In-Context Learning

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Explore efficient approaches for selecting informative examples in In-Context Learning, enhancing large language model performance without additional training.
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1 Lesons
59 minutes
On-Demand
Free-Video
MLOps.community

Exploring Long Context Language Models - MLOps Reading Group August 2024

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Explore the potential of Long-Context Language Models to replace traditional methods like retrieval, RAG, and SQL. Dive into recent research and engage in critical discussions about LCLMs' capabilities and limitations.
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16 Lesons
49 minutes
On-Demand
Free-Video
Databricks

AutoFeedback - Scaling Human Feedback with Custom Evaluation Models

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Discover how AutoFeedback combines human and model-based evaluation to improve LLM output assessment, reducing costs and enhancing efficiency while maintaining accuracy and transparency.
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1 Lesons
40 minutes
On-Demand
Free-Video
Imperial College London

Learning Linear Models In-Context with Transformers

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Explore in-context learning of linear models using transformers with UC Davis professor Spencer Frei in this insightful seminar.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
MIT HAN Lab

Efficient Fine-tuning and Prompt Engineering - Lecture 20

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Explore efficient fine-tuning techniques and prompt engineering strategies for optimizing large language models in machine learning applications.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Large Scale Universal Speech Generative Models

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Explore cutting-edge speech generative models, including Voicebox, and their applications in multilingual TTS, style conversion, and content editing. Learn about scalable approaches for audio AI.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Discover AI

A Brief History of AI and AI Agents - From Language Models to Multi-Agent Systems

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Explore the evolution of AI from GPT-3 to modern multi-agent systems, covering key developments in language models, function calling, AI agents, and future implications for global artificial intelligence.
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18 Lesons
51 minutes
On-Demand
Free-Video
USC Information Sciences Institute

Why Larger Language Models Struggle with Subjective Reasoning

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Explore how larger language models handle subjective tasks, examining their limitations in emotion and morality recognition despite advanced prompting techniques and increased model sizes.
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1 Lesons
57 minutes
On-Demand
Free-Video
Simons Institute

How Transformers Learn Causal Structure with Gradient Descent

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Delve into the mathematical foundations of how transformer models learn and encode causal relationships through self-attention mechanisms and gradient-based training algorithms.
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1 Lesons
38 minutes
On-Demand
Free-Video