Beam Search Courses and Certifications

Graham Neubig

CMU LLM Inference - Beam Search and Variants

Explore beam search algorithms and their variants for LLM inference, examining the inadequacies of mode-based approaches in natural language processing applications.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

Coursera

Building and Optimizing AI Agent Workflows

Master autonomous AI agent design with reinforcement learning, ethical frameworks, modular architectures, and optimization techniques for production-ready systems.

• Coursera
• 17 hours 14 minutes
• On-Demand
• Paid Course

Coursera

Optimize Agentic AI: Algorithms for Peak Performance

Master sophisticated planning algorithms and computational efficiency analysis to build fast, scalable agentic AI systems that perform optimally in real-world applications.

• Coursera
• 2 hours 49 minutes
• On-Demand
• Paid Course

Discover AI

CriticGPT: Understanding RLHF and Force Sampling Beam Search Optimization

Dive into OpenAI's innovative CriticGPT algorithm, exploring how RLHF and Force Sampling Beam Search optimize language models and enhance their reliability.

• YouTube
• 26 minutes
• On-Demand
• Free Video

Bayesian Networks 2 - Forward-Backward - Stanford CS221: AI

Explore advanced probabilistic inference techniques, including hidden Markov models, particle filtering, and Gibbs sampling, for AI applications in object tracking and more.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Online Course

NITTTR

Fundamentals of AI

Explore fundamental AI concepts including intelligent agents, search strategies, problem-solving techniques, planning, logic, and inference mechanisms for building AI solutions.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

The Transformer Network for the Traveling Salesman Problem

Explore how Transformer networks can tackle the Traveling Salesman Problem, improving upon existing heuristics with promising results for combinatorial optimization challenges.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Alfredo Canziani

Low Resource Machine Translation

Explore machine translation techniques for low-resource languages, covering evaluation methods, supervised and unsupervised learning approaches, and domain adaptation. Gain insights into Nepali-English translation case study.

• YouTube
• 1 hour 58 minutes
• On-Demand
• Free Video

Discover AI

Decoding on Graphs: Empowering LLMs with Knowledge Graphs Through Well-Formed Chains

Discover how to enhance LLM capabilities by integrating Knowledge Graphs through the Decoding on Graphs framework, focusing on graph-aware constrained decoding and well-formed reasoning chains.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Inference Methods for Deep Learning - Lecture 24

Explore advanced inference techniques beyond simple forward passes, including beam search, chain-of-thought reasoning, in-context learning, and test-time training methods.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Advanced NLP: Structured Learning Algorithms

Explore advanced NLP techniques like reinforcement learning, structured perceptron, and exposure bias remedies. Gain insights into globally normalized models and structured prediction algorithms.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP 2020: Advanced Search Algorithms

Explore advanced search algorithms for NLP, including beam search, minimum Bayes risk, and sampling-based methods. Learn to address search errors and model errors in neural networks.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP 2019 - Advanced Search Algorithms

Explore advanced search algorithms for NLP, including beam search, A* search, and search with future costs. Learn techniques to improve efficiency and effectiveness in natural language processing tasks.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Graham Neubig

CMU Neural Nets for NLP 2017 - Advanced Search Algorithms

Explore advanced search algorithms for NLP, including beam search and A*-type search, with a focus on their applications, benefits, and challenges in neural network-based language processing.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Society for Industrial and Applied Mathematics

Multiscale Methods for Machine Learning

Multiscale machine learning framework for efficient predictions in enormous output spaces, addressing challenges of limited data and scalability through hierarchical modeling and sparse matrix techniques.

• YouTube
• 55 minutes
• On-Demand
• Conference Talk