AWS Trainium and Inferentia - Enhancing AI Performance and Cost Efficiency
Explore AWS Trainium and Inferentia's AI accelerators for enhanced performance, cost savings, and seamless integration with popular frameworks. Learn about their benefits and implementation in ML workflows.
History of Language Models: Evolution, Frameworks, and Deployment
Explore language models' evolution from early systems to neural networks, transformers, and large-scale pretraining. Gain insights on key frameworks and real-world deployment strategies.
Understanding LLM Benchmark Quality - Who Watches the Watchmen?
Explore LLM benchmarks' effectiveness in measuring model performance. Gain insights into evaluating language models beyond leaderboards for informed decision-making in AI applications.
Building Chatbots with Hugging Face LLMs - 5 Expert Tips
Discover 5 expert engineering tips for building chatbots using open-source LLMs like Mistral. Learn crucial technical nuances for transitioning from proprietary APIs to open-source models.
Advanced Fine-Tuning Techniques for Long Context Summarization
Explore advanced fine-tuning techniques for long context summarization, including increasing rope_theta, training norm and embed, and optimizing prompt-response training for improved model performance.
Hugging Face and Ray AIR Integration for Scalable Machine Learning
Explore Hugging Face and Ray AIR integration for scalable model training and data loading. Learn to create end-to-end workflows from data ingest to inference and serving.
Why AI Is Here to Stay and How New Developers Can Find the Right Balance
Explore AI engineering opportunities, learn to leverage AI tools, and stay future-proof in tech with insights from Sam Julien, Director of Developer Relations at Writer.
Fine-tuning Language Models for Structured Responses with QLoRa - Lecture
Master fine-tuning language models for structured responses using QLoRa. Learn quantization, data setup, training, inference, and advanced techniques to enhance model performance and efficiency.
Getting Started with Generative Text and Fine-Tuning LLMs in Hugging Face
Dive into practical LLM implementation using Hugging Face's transformers library, from basic text generation to efficient model fine-tuning techniques for customized applications.
From Zero to SOTA: Fine-Tuning BERT Using Hugging Face for World-Class Training Performance
Discover how to fine-tune BERT using Hugging Face and Graphcore's IPU for state-of-the-art NLP performance. Learn to accelerate AI development, optimize models, and leverage cloud platforms for efficient machine learning workflows.
Building AI Applications with Transformers
Learn to leverage transformers for AI applications like auto-completion, semantic search, and document AI using open-source tools and models. Explore embeddings, Generative AI, and emerging trends in multimodal and large language models.
Developer Transition: Machine Learning to Quantum Machine Learning
Explore quantum machine learning frameworks, tools, and resources to transition from classical ML. Gain insights into QML algorithms, simulators, and future developments in the field.
GenAI Multimodal, RAG, RAPTOR, Agent, and Finetuning - Live Coding Demonstration
Explore cutting-edge GenAI techniques through live demos of RAG, RAPTOR, Agent, and Finetuning. Witness multimodal capabilities and gain hands-on experience with advanced AI models and tools.
Live Python Demos - Generative Artificial Intelligence
Explore local hosting of generative AI models, comparing LLMs and LMMs for image processing, code generation, and multimodal tasks using various platforms and tools.
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.
Hands-on Workshop on ChatGPT and Large Language Models
Explore NLP, LLMs, and GPT architecture. Build LLM solutions with Hugging Face and master prompt engineering in this hands-on workshop.
Managing and Distributing AI Models Using OCI Standards and Harbor
Discover how to effectively manage and distribute AI models using OCI standards and Harbor, covering model structures, security, replication, and acceleration mechanisms for enterprise deployment.
Choosing the Right LLM - A Framework for Model Evaluation and Selection
Discover a systematic approach to evaluating and selecting Large Language Models for specific tasks, focusing on practical frameworks and custom testing methods for optimal results.