Language Models Courses and Certifications

AutoML Seminars

OmniPred - Towards Universal Regressors with Language Models

Explore groundbreaking research on OmniPred's innovative approach to using language models as universal regressors, demonstrating superior performance over traditional regression methods across diverse experiments.

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

UofU Data Science

Introduction to Language Modeling: From N-grams to Neural Networks

Explore the evolution of language modeling, from n-grams to neural architectures, covering key concepts like embeddings, transformers, and RLHF implementations.

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

Oxen

Teaching Language Models to Use Tools - Deep Dive into Toolformer

Explore how language models can self-learn to utilize tools through API calls, covering architecture, training data generation, filtering mechanisms, and experimental results from Meta's Toolformer paper.

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

Oxen

Deep Dive Into Self-Rewarding Language Models - Training Models as Their Own Judges

Explore how language models can be trained to evaluate and improve themselves, eliminating the need for human-labeled data while achieving superior performance in AI development and training.

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

Oxen

How to Fine-Tune Mamba for Question Answering

Dive into practical Mamba language model fine-tuning for question-answering tasks, from basic prompt engineering to complete model training implementation.

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

AI Bites

Textbooks Are All You Need - Understanding Microsoft's Phi-1.5 Model

Discover Microsoft's Phi-1.5, a compact yet powerful transformer-based language model that achieves remarkable performance despite its smaller size compared to other recent LLMs.

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

Discover AI

Creating Self-Instruct Data Sets for LLM Fine-Tuning with ChatGPT

Master the creation of synthetic instruction datasets using ChatGPT and GPT-4 for fine-tuning language models, covering data generation, multi-task training, and task decomposition techniques.

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

Discover AI

Self-Instruct Fine-Tuning of Large Language Models - Introduction to Alpaca

Master self-instruct fine-tuning techniques for LLMs, focusing on synthetic data generation using ChatGPT/GPT-4 to enhance model performance in specific tasks like summarization and translation.

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

Discover AI

Self-Harmonized Chain of Thought (ECHO) - Understanding Complex Reasoning in Language Models

Explore the innovative ECHO method for enhancing language model reasoning through iterative refinement, clustering, and cross-validation techniques to achieve more accurate and consistent solutions.

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

Discover AI

RecurrentGemma: Moving Past Transformers with Griffin Architecture for Long Context Length

Explore Google's RecurrentGemma-2B architecture, featuring Griffin's innovative approach to language modeling that surpasses traditional transformers with enhanced efficiency and long-context processing capabilities.

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

Toronto Machine Learning Series (TMLS)

ProxyLM - Predicting Language Model Performance on Multilingual Tasks via Proxy Models

Discover how ProxyLM framework uses proxy models to predict language model performance in multilingual NLP tasks, offering significant computational efficiency and improved accuracy for model selection.

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

The Machine Learning Engineer

Gemma-2 9B: Prueba de Prompts CoT en Español

Explora Gemma-2 de Google: opciones de uso, tamaños y formatos. Realiza pruebas de razonamiento con prompts CoT comparando con otros modelos.

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

The Machine Learning Engineer

LlamaGuard 7B: Modelo de Salvaguarda de Entrada-Salida - Explicación en Español

Descubre cómo LlamaGuard detecta contenido no seguro en interacciones con LLM, mejorando la seguridad en aplicaciones de IA.

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

Stanford Seminar - Deep Learning in Speech Recognition

Explore deep learning's evolution and impact on speech recognition, from early AI to modern applications like Siri, covering key concepts, historical milestones, and practical implementations.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Online Course

How I Learned to Stop Worrying and Love the Transformer - Stanford CS25 Lecture

Explore the Transformer's evolution and future directions with Ashish Vaswani, co-author of "Attention is All You Need". Gain insights into motivations, developments, and promising research areas in AI and NLP.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video