The Variational Book - Exploring Generative AI and Diffusion Models
Explore the evolution of generative AI, diffusion models, and LLMs with ML scientist Yuri Plotkin as he discusses his upcoming book "The Variational Book" and shares insights on advanced machine learning concepts.
BigQuery as a Feature Store for AI/ML Applications
Discover how to transform BigQuery into an effective feature management system for AI/ML applications. Learn about designing feature tables, addressing challenges, and optimizing workflows without additional software.
Exploring Long Context Language Models - MLOps Reading Group August 2024
Explore the potential of Long-Context Language Models to replace traditional methods like retrieval, RAG, and SQL. Dive into recent research and engage in critical discussions about LCLMs' capabilities and limitations.
Visualize - Bringing Structure to Unstructured Data - MLOps Podcast #258
Explore techniques for structuring and visualizing unstructured data in machine learning, from classification to Retrieval-Augmented Generation, using tools like UMAP and Renumics Spotlight to uncover patterns and evaluate model performance.
Ax: A New Way to Build Complex Workflows with LLMs - MLOps Podcast
Explore Ax, a TypeScript library for building complex LLM workflows. Learn about prompt signatures, tuning, and composable prompts for RAG and agent-powered applications in production environments.
Alignment is Real - Fine-Tuning vs. Prompting in Domain-Specific Tasks
Explore fine-tuning techniques for domain-specific LLMs, discussing strategies for feedback integration, RAG implementation, and AI infrastructure decisions to achieve significant performance improvements.
Prompt Engineering: OpenAI, GPT-4, and Mistral 7B Basics Introduction
Explore prompt engineering basics with GPT-4, GPT-3.5 Turbo, and Mistral 7B through practical examples and hands-on demonstrations.
Fine-Tuning ViT Classifier with Custom Data and Docker Inference - Part 4
Fine-tune a ViT classifier with custom data and deploy using Docker and FastAPI for efficient image classification in production environments.
LLM Quantization: Why Size Matters
Explore LLM quantization techniques, their impact on model size, and practical applications in training, fine-tuning, and inference. Gain insights into scaling laws and optimization strategies.
Document Summarization: Langchain Summarization Chains, Clustering and LLMs
Explore document summarization using Langchain, Hugging Face Transformers, and clustering techniques for efficient text analysis and insights.
Document Similarity: Langchain Sentence Transformers and Chroma
Explore document similarity using Langchain, HuggingFace Transformers, and Chromadb. Learn to create embeddings and implement vector storage for efficient text analysis and classification.
Installing and Using Ollama Framework for Data Science and Machine Learning
Explore Ollama framework installation, usage, and Python integration for generating, embedding, and chatting with AI models.
DALL-E and Stability.AI: Text-to-Image Models for Data Science and Machine Learning
Explore DALL-E and Stability.AI text-to-image models, learning to generate, edit, and save AI-created images using practical notebooks and hands-on examples.
Computer Vision: OCR Comparison - Tesseract vs PaddleOCR
Explore OCR techniques using Tesseract and alternatives, comparing offline solutions for computer vision and text recognition in data science and machine learning.
Azure AI Computer Vision OCR: Image and Document Intelligence Services
Aprende a utilizar Azure AI Services para OCR de imágenes y documentos con Computer Vision y Document Intelligence.
Google Vertex AI Python SDK and Gemini for Data Science and Machine Learning
Explore Google Vertex AI, SDK, and Gemini through practical demonstrations and hands-on coding examples for machine learning and data science applications.
Langchain Document Summarization Using Fine-Tuned T5 and Clustering
Aprenda a utilizar Langchain para resumir textos usando T5 ajustado e clustering, com demonstração prática e notebooks disponíveis.
Azure ML: Pipelines with Python SDK for Data Science and Machine Learning
Create ML pipelines with Azure Machine Learning Studio's Python SDK for efficient data science and machine learning workflows on Azure.
Azure ML: Foundation Models Inference Endpoint for Q&A
Explore Azure ML's Model Catalogue and create an Online Inference EndPoint for Foundation QA HuggingFace model predictions. Gain hands-on experience with Azure ML studio and machine learning deployment.
Fine-Tuning Foundation Models with Azure Machine Learning Studio
Fine-tune a BERT foundation model using Azure Machine Learning Studio for enhanced natural language processing capabilities.
Fine-Tuning Foundation Models for Document Classification with Azure ML - LLama2
Fine-tune LLM for document classification using Azure ML Studio's Python SDK. Learn to adapt Llama2, Mistral, or other models for text classification tasks.