Modeling Individuals Without Data via Secondary Task Transfer Learning
Discover a novel transfer learning method for modeling individual behavior using limited data from secondary tasks, outperforming standard approaches in financial health and game design.
Managing Machine Learning Experiments with MLflow
Learn to manage ML experiments, reproduce pipelines, and deploy models using MLflow, an open-source tool for streamlining the machine learning lifecycle.
Train Your First NLP Transformer Model with Amazon SageMaker
Learn to train and deploy NLP Transformer models using Amazon SageMaker and Hugging Face. Gain hands-on experience with cutting-edge deep learning techniques for natural language processing.
Exceeding Customer Expectations with Machine Learning
Explore how retailers leverage machine learning to enhance customer experiences, boost revenue, and optimize processes. Learn about impactful use cases and implementation strategies.
How to Automate Machine Learning with GitHub Actions
Automate machine learning workflows using GitHub Actions to speed up development cycles and streamline model deployment.
Fighting Pipeline Debt With Great Expectations
Learn to combat pipeline debt using Great Expectations, an open-source library for data validation, documentation, and profiling in complex data systems.
How F.A.T. is Your ML Model Quality in the Era of Software
Explore F.A.T. (Fairness, Accountability, Transparency) properties for assessing ML model quality. Learn evaluation approaches, governance benchmarks, and bias mitigation techniques through case studies.
Productionizing ML Models for Online Shopping at Loblaws
Explore ML model productionization for online shopping, covering microservices, CI pipelines, AB testing, and cloud-based implementation using tools like Seldon Core.
The Do's and Don'ts of Delivering AI Projects: A Practitioner's Guide
Discover strategies for successful AI project delivery, including evaluation tools and techniques to overcome common challenges in this rapidly evolving field.
DevOps for ML and Other Half-Truths - Processes and Tools for the ML Lifecycle
Explore processes and tools for enterprise-ready ML deployment, addressing the challenges of standardization in the ML lifecycle and supporting IT operations management.
Prompt Engineering: 7 Tricks to Solve Problems with AI - Part 4
Master prompt engineering techniques to enhance AI problem-solving. Learn 7 key tricks and explore practical applications using LangChain for building AI-powered solutions.
3 Ways to Make a Custom AI Assistant: RAG, Tools, and Fine-tuning
Explore three methods to create custom AI assistants using OpenAI: GPTs, Assistants API, and Fine-tuning API. Learn to build a YouTube comment responder through practical demonstrations.
Quantum Machine Learning Parameters for Breakthrough Parallel Algorithms
Explore breakthrough parallel quantum algorithms for machine learning, improving performance and efficiency. Learn key benefits and optimal parameter settings for quantum-classical hybrid models.
Building a Chatbot with Unify - Webinar 01
Learn to build an interactive ChatBot using Unify, exploring Synchronous and Asynchronous clients and integrating with various LLMs for dynamic AI conversations.
Influential Data Retrieval Explained
Explore RapidIn, a scalable framework for estimating training data influence in large language models. Learn about token-wise retrieval and its two-stage approach.
BitFunnel: How Bing Uses Bloom Filters for Search
Explore BitFunnel algorithm powering Bing search, using Bloom filters to efficiently process queries and search billions of documents, challenging conventional wisdom in text indexing.
Speech and Audio Processing in Non-Invasive Brain-Computer Interfaces at Meta
Explore non-invasive neural interfaces for AR devices using EMG signals, focusing on speech and audio technologies to enhance human-computer interaction and egocentric machine intelligence.
Why an Event-Native Mindset Is Essential for Data Architecture
Embrace an Event-Native Mindset to build a responsive data architecture. Learn to model events, create an enterprise nervous system, and enable real-time action and prediction using event-driven knowledge architecture.
Neuro-Symbolic AI and AllegroGraph 8.0: Revolutionizing Enterprise Knowledge Graphs
Explore AllegroGraph 8.0's revolutionary features in Enterprise Knowledge Graphs and Neuro-Symbolic AI. Learn how it integrates LLMs, Machine Learning, Symbolic AI, and Logic to enhance AI accuracy and reliability.
How to Evaluate LLM Performance for Domain-Specific Use Cases
Explore advanced LLM evaluation techniques for enterprise AI, including data-centric approaches, quality modeling, and fine-grained benchmarking to overcome common challenges and improve performance.
Task Me Anything: Revolutionizing Multimodal Model Benchmarking
Explore Task Me Anything platform for efficient multimodal model evaluation. Learn programmatic task generation and active learning techniques to create custom benchmarks for data science projects.