Unify Courses

The Era of 1-bit LLMs Explained - BitNet b1.58 and New Scaling Laws

Explore groundbreaking research on BitNet b1.58, a ternary parameter model matching full-precision Transformers while offering improved cost-effectiveness and defining new LLM scaling laws.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

SparQ Attention: Bandwidth-Efficient LLM Inference

Explore SparQ Attention, a technique for increasing LLM inference throughput by reducing memory bandwidth in attention blocks through selective history fetching, applicable to off-the-shelf models without retraining.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Explore OpenMoE, an open-source Mixture-of-Experts language model series. Discover its cost-effectiveness, routing mechanisms, and key insights in comparison to dense LLMs.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Teacher-Student Architecture for Knowledge Distillation Explained

Explore Teacher-Student architectures in knowledge distillation for AI model compression, expansion, adaptation, and enhancement. Gain insights into cutting-edge research and practical applications.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

SliceGPT Explained - Compressing Large Language Models

Explore SliceGPT's innovative approach to compressing large language models by deleting rows and columns, maintaining high performance while reducing parameters significantly.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Contrastive Preference Optimization Explained

Explore Contrastive Preference Optimization, a novel approach to enhance LLM performance in translation tasks by guiding models towards producing superior translations.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

SORA Explained - Comparing OpenAI's Text-to-Video Model with Google's Lumiere

Explore OpenAI's Sora and Google's Lumiere text-to-video models. Compare architectures, capabilities, and emerging simulation features for diverse, coherent video generation from text prompts.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

A Survey on Hardware Accelerators for Large Language Models

Explore hardware accelerators enhancing LLM performance and efficiency, covering GPUs, FPGAs, and specialized designs in this comprehensive survey presentation.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

Distill Whisper Explained - Robust Knowledge Distillation for Speech Recognition

Explore Distill-Whisper: a compact, efficient speech recognition model. Learn about its robust knowledge distillation, large-scale pseudo labelling, and performance compared to the larger Whisper model.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

The Emergence of Essential Sparsity in Large Pre-trained Models

Explore essential sparsity in large pre-trained models, examining efficient handling of complex transformers and the impact of weight removal on performance.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Large Language Models for Compiler Optimization

Explore how large language models can enhance compiler optimization, focusing on a custom 7B parameter Transformer model that generates optimal compiler options for minimizing code size.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Deep Dive: Formatting and Best Coding Practices in Python - Tutorial 21

Master Python coding best practices for clean, efficient, and maintainable machine learning solutions using Ivy. Learn essential principles for variables, functions, classes, and conventions.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Segment Anything Model (SAM) Explained

Explore SAM, a versatile image segmentation model by Meta AI. Learn about its multitask capabilities, zero-shot transferability, and applications across various scenes and objects.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Deep Dive: Device Handling in Ivy - Tutorial 07

Explore device handling in Ivy, including policies, decorators, and framework comparisons. Learn efficient development and optimal deployment of machine learning solutions.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Llama 2 Explained - Safety and Ethical Considerations - Part 3

Explore Llama V2's safety features in this concluding session. Gain insights into Meta AI's latest language model iteration and its focus on secure AI development.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video