AI Application With Power BI - Achieving AI Analytics
Explore machine learning and cognitive services in Power BI, enhancing data analysis with AI-driven insights for improved decision-making and business intelligence.
Sentiment Analysis Using Cognitive Services in Power BI - Achieving AI Analytics
Learn to perform text analytics and sentiment analysis using Cognitive Services in Power BI, enhancing your AI-driven data analysis capabilities.
Text Mining & Sentiment Analysis Made Easy
Learn to analyze text data using Azure Cognitive Services and Power BI. Extract key phrases, derive sentiment scores, and create effective visual dashboards without needing advanced data science skills.
AI to the Masses! But How? Pixie Dust?
Explore Azure's AI options for data science, weighing considerations and practical applications to make informed decisions about implementing AI in your organization.
From Paper to Product - How We Implemented BERT
Explore the journey of implementing BERT in a natural language generation product, from initial research to production deployment. Learn about challenges, successes, and valuable lessons for NLP practitioners.
An Introduction to Natural Language Generation
Explore natural language generation through real-world examples, deep learning techniques, and transformer models. Learn about word embeddings, BERT, GPT, and practical applications in various domains.
Deep Learning and NLP with Spark
Explore deep learning and NLP using Spark, focusing on LSTM neural networks for complex language tasks. Includes real-time visualizations and Spark Notebook demonstrations.
Why Dolly Is Just the Beginning for Open LLM Models
Explore the evolution of open LLMs, focusing on Dolly's impact and the potential for fine-tuning smaller models with proprietary data to gain a competitive edge in AI development.
Mining the Go Developer Community
Explore Go developer community trends, metrics, and insights using data mining techniques and machine learning to understand adoption patterns and competitive landscape.
Discovering the True Identity of @horse_js
Uncover the mystery behind @horse_js through data analysis, machine learning, and Azure tools in this entertaining and informative JSConf presentation.
Deep Dive into Building Bots with the Microsoft Bot Framework and Cognitive Services
Explore building intelligent bots using Microsoft Bot Framework and Cognitive Services. Learn to create insightful conversations, integrate AI, and enhance user interactions in your applications.
Easier AI Allows Everyone to Build Smart Apps
Discover how to leverage Microsoft's Cognitive Services to build smart apps with AI capabilities, including computer vision, language understanding, and speech recognition.
Going Full Duplex - Building Apps for Speech
Explore advancements in speech technology and learn to integrate natural speech into applications, covering recognition, synthesis, translation, and intent detection.
Training With BertForPretraining
Explore BERT training techniques, focusing on NSP and MLM logic, with practical implementation steps and code examples for effective model fine-tuning.
Training BERT - Train With Masked-Language Modeling
Learn to fine-tune BERT models using masked language modeling in PyTorch for domain-specific NLP tasks, enhancing performance beyond out-of-the-box capabilities.
Sentence Similarity With Transformers and PyTorch
Learn to measure semantic similarity between sentences using BERT and PyTorch. Explore tokenization, vector creation, and cosine similarity calculation for powerful NLP applications.
Identify Stocks on Reddit with SpaCy - NER in Python
Learn to extract stock mentions from Reddit using SpaCy's Named Entity Recognition, enabling automated classification and analysis of unstructured text data for financial insights.
Training Latent Dirichlet Allocation: Gibbs Sampling - Part 2
Explore Gibbs sampling for training Latent Dirichlet Allocation models, learning to sort documents into topics efficiently through practical exercises and in-depth explanations.
Latent Dirichlet Allocation - Part 1
Explore Latent Dirichlet Allocation, a powerful machine learning technique for sorting documents by topic. Learn its principles, applications, and implementation in this comprehensive tutorial.
Prompt Templates for GPT-3.5 and Other LLMs - LangChain
Learn to create effective prompts for language models using LangChain's PromptTemplates and FewShotPromptTemplates. Explore example selectors and best practices for prompt engineering in this hands-on tutorial.
Generative Question-Answering with OpenAI's GPT-3.5 and Davinci
Explore generative question-answering using OpenAI's GPT-3.5 and Davinci. Learn about app creation, architecture, data indexing, querying, and answer generation in this AI-powered approach.