Introduction to Video Editing - Video Editing Tutorials
Learn video editing basics, from organizing footage to fine-tuning, with hands-on demonstrations using Premiere Pro. Explore industry jargon, career opportunities, and essential principles for creating polished videos.
Object Detection on Custom Dataset with YOLO - Fine-Tuning with PyTorch and Python Tutorial
Fine-tune YOLO v5 for custom object detection using PyTorch. Learn model installation, training, evaluation, and application on a clothing dataset.
How to Perform Large-Scale Image Classification
Learn how Kaggle Grandmasters built large-scale image classification models for landmark recognition, overcoming challenges of 81,000+ classes. Discover winning strategies, architectures, and techniques for efficient modeling and competition success.
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.
The Accidental Universe: The World You Thought You Knew
Explore the intersection of science, philosophy, and spirituality as Alan Lightman delves into profound questions about our universe, existence, and the nature of reality.
Are the Laws of Physics Actually Fine-Tuned?
Explore the concept of fine-tuning in physics, examining the anthropic principle, multiverse theory, and the delicate balance of universal constants that allow life to exist.
Supercharging Your RAG System: Techniques and Challenges - DE4AI
Explore techniques and challenges in supercharging Retrieval-Augmented Generation (RAG) systems in this 40-minute conference talk by Tengyu Ma, Co-founder & CEO of Voyage AI and Assistant Professor of Computer Science at Stanford University. Gain insight…
Synthetic Data Generation and Fine-tuning for OpenAI GPT-4 or Llama 3
Dive into an extensive tutorial on synthetic data generation and fine-tuning techniques for large language models like OpenAI GPT-4o and Llama 3. Learn how to create synthetic questions and answers, implement chain of thought reasoning, and augment data…
Evaluating Open-Source Local LLMs: A Comparative Analysis with Proprietary Giants for Developer Applications
Explore the world of open-source local large language models (LLMs) in this 40-minute conference talk from Devoxx. Dive into a comparative analysis between these models and proprietary giants, focusing on their performance, flexibility, and applicability…
Data-efficient Fine-tuning for LLM-based Recommendation - SIGIR 2024 M1.6
Explore data-efficient fine-tuning techniques for LLM-based recommendation systems, enhancing performance with minimal data requirements.
Training Llama 2 in Julia - Scaling Large Language Models
Explore scaling techniques for training large neural networks like Llama2 using Julia, including multi-GPU parallelization and fine-tuning methods for efficient model adaptation.
LLM: From Playgrounds to Production-Ready Pipelines
Explore the journey from LLM playgrounds to enterprise-scale production pipelines, addressing challenges and leveraging MLOps infrastructure for cutting-edge models.
Fine-Tune LLMs or Integrate 3rd Party APIs? A Financial Case Study
Explore LLM integration strategies for MLOps, comparing fine-tuning and API use. Learn key considerations, challenges, and risk mitigation techniques for implementing advanced language models.
Private, Local AI: Running Open-Source LLMs Locally
Explore private AI applications running open-source LLMs locally on personal devices. Learn about encrypted environments for fine-tuning models on sensitive data.
Efficiently Fine-Tune and Serve Your Own LLMs
Learn to efficiently fine-tune and deploy large language models, optimizing performance and resource utilization for production environments.
Beyond the Model Zoo - Optimizing Foundation Models for Your Application
Optimize foundation models for specific applications, exploring techniques beyond pre-trained models to enhance performance and efficiency in machine learning projects.
Finetuning a Large Language Model on a Custom Dataset
Discover parameter-efficient finetuning techniques and optimizations for large language models using custom datasets, enhancing model performance at scale.
Learn Your Codebase: Fine-tuning CodeLlama with Flyte to Learn Flyte
Discover how to fine-tune LLMs on specific codebases using Flyte, an open-source orchestration platform. Explore multi-node, multi-gpu distributed training for efficient model adaptation with limited resources.
LLMOPS: Training a Small LLM (GPT-2) - Machine Learning and Data Science
Explore training a small LLM (GPT2) locally, understanding challenges and limitations of LLM development for individuals and small teams.
Understanding Foundation Models: A New Paradigm for Building and Productizing AI Systems
Explore foundation models as a new AI paradigm. Learn practical ways to leverage these models in building and productizing AI systems for your company.
OpenAI Fine-tuning vs Distillation - Techniques and Implementation
Explore OpenAI fine-tuning and distillation techniques using a free Colab notebook. Learn to generate datasets, run fine-tuning, and evaluate models for improved AI performance.