Microsoft ML.NET Framework: Sentiment Analysis Application in C#
Explore sentiment analysis using ML.NET in C#. Learn to develop applications that analyze text sentiment with Microsoft's machine learning framework.
Artificial Intelligence - You Are Here
Explore the latest AI advancements, from GPT-3 to Meta NLLB, and their impact on various fields. Discover AI's potential for code generation, image creation, robotics, and more, shaping the future of human-AI interaction.
Word Embeddings from Deep Space Nine using Machine Learning
Explore word embedding techniques using Star Trek Deep Space Nine scripts, from Bag of Words to BERT, with practical insights for production environments.
The Data Lakehouse for Streaming Data - A Talk for Everyone Who Loves Data
Explore data lakehouses: combining data lakes and warehouses for reliable, flexible data management. Learn about open-source projects, streaming data support, and see a live Twitter sentiment analysis demo.
ChatGPT - A New Generation of Dynamic Machine Based Attacks
Explore the potential misuse of ChatGPT in cybersecurity, examining how machine learning could outsmart humans in cyber attacks and discussing the implications for future defense strategies.
The Narrated Transformer Language Model
Visual introduction to the Transformer architecture, explaining its components and applications in AI/ML. Accessible to various experience levels, covering tokenization, embedding, and output projection.
BERTopic Explained
Explore BERTopic, an advanced topic modeling technique using transformers, UMAP, and HDBSCAN. Learn its components, implementation, and customization for organizing unstructured text data effectively.
Today Unsupervised Sentence Transformers, Tomorrow Skynet - How TSDAE Works
Explore unsupervised fine-tuning for sentence transformers using TSDAE. Learn to train models without labeled data, ideal for domains and languages with limited resources.
Intro to Sentence Embeddings with Transformers
Learn to create and apply sentence embeddings using transformers for semantic similarity tasks, exploring models like BERT and GPT for advanced natural language processing applications.
Intro to Dense Vectors for NLP and Vision
Explore dense vector representations in NLP and computer vision, from word2vec to modern transformer models, with practical Python implementations and applications.
Build NLP Pipelines with HuggingFace Datasets
Explore HuggingFace Datasets for NLP: Learn to access, load, select, and modify datasets, build efficient pre-processing pipelines, and leverage powerful functions for NLP tasks.
How to Build a Bert WordPiece Tokenizer in Python and HuggingFace
Learn to build a custom BERT WordPiece tokenizer in Python using HuggingFace, essential for creating transformer models for specific languages or domains. Includes step-by-step walkthrough and code implementation.
ChatGPT with Arduino and ESP32 - C++ and MicroPython Coding
Explore AI-assisted coding for Arduino and ESP32 using ChatGPT. Learn to create projects like temperature meters, WiFi scanners, and web servers in C++ and MicroPython.
Hybrid Quantum-Classical Machine Learning using Qiskit
Explore hybrid quantum-classical machine learning with Qiskit for text classification and sentiment analysis, combining quantum circuits and classical models.
Lessons from Launching an LLM Chatbot - CriteriaGPT for Mortgage Brokers
Explore insights from launching CriteriaGPT, a RAG-based chatbot for mortgage brokers. Learn strategies for implementing retrieval augmented generative applications across various domains.
Retrieval, Search and Knowledge in the Age of LLMs and Vector Databases
Explore vector embeddings' impact on information compression, search, and knowledge retrieval. Learn how enterprises can leverage this technology to enhance customer understanding and interaction.
Innovating with Open Generative AI - Llama Models and AI Chatbot Development
Explore open generative AI and Llama models' impact. Learn to build AI chatbots with LangChain, leverage the Llama ecosystem, and deploy AI responsibly using Purple Llama components.
Productionizing Large Language Models
Unravel intricacies of deploying Large Language Models in production. Explore case studies, best practices, tools, and troubleshooting techniques with industry expert Lukas Biewald.
Towards LLM-augmented Database Systems
Explore how database systems can be enhanced with LLMs to efficiently handle multi-model data queries while addressing performance challenges and hallucination issues in modern data processing.
How to Steal ChatGPT's Embedding Size and Other Low-rank Logit Tricks
Uncover hidden information about API-protected LLMs through low-rank logit analysis. Learn to estimate embedding sizes, audit model updates, and identify source models efficiently.
Informative Example Selection for In-Context Learning
Explore efficient approaches for selecting informative examples in In-Context Learning, enhancing large language model performance without additional training.