What is ChatGPT Doing and Why Does it Work?
Explore ChatGPT's inner workings and functionality in this unscripted AMA session with Stephen Wolfram. Gain insights into AI language models and their impact on technology.
What Is ChatGPT Doing and Why Does It Work?
Explore the inner workings and underlying principles of ChatGPT, delving into its functionality and effectiveness in natural language processing and generation.
The Wolfram Prompt Repository: Creation, Components, and Submission Process
Explore the Wolfram Prompt Repository, learn about prompt types, their functionality in notebooks, and how to create and submit your own prompts.
Analyzing GPT-2's Brain Development
Explore GPT-2's inner workings through token manipulation, node analysis, and temperature adjustments to gain insights into its structure and functioning.
Creating Custom AI Chat Personas - LLM Persona Engineering
Explore LLM Persona Engineering using Wolfram's chat notebook interface. Learn to create personalized chatbots by engineering prompts, injecting data, and integrating computational tools.
Expedition to the LLM and AI Frontier - Navigating the Modern AI Landscape
Navigate the LLM and AI landscape as a data science leader. Learn to champion your team, educate company leaders, and leverage AI tools for successful implementation in your organization.
Vector Search at Uber - Implementing and Scaling KNN Search with Apache Lucene
Explore Uber's implementation of Vector Search using Apache Lucene, enabling semantic search and Gen AI support. Learn about HNSW algorithm integration, live vector updates, and scalability optimizations.
Do Pretrained Transformers Learn In-Context by Gradient Descent?
Explore the relationship between In-Context Learning and Gradient Descent in large language models, examining theoretical connections and empirical evidence from pre-trained transformers.
Prompting Language Models Improves Quoting from Pre-Training Data - EACL 2024
Explore how "according-to" prompting enhances LLMs' ability to ground responses in factual data, reducing hallucinations and improving task performance across diverse corpora.
Using AI-Created Analogies in Education
Explore AI-generated analogies to enhance understanding of complex concepts in education, with hands-on practice using ChatGPT for personalized learning.
Introduction to Generative AI Tools
Explore generative AI tools and their applications in various fields. Gain insights into cutting-edge technologies shaping the future of artificial intelligence.
Virtual Health Assistants: Development and Applications in Mental Health Support
Explore AI-powered virtual health assistants for mental health support, covering safety, ethics, and real-world applications like ALLEVIATE-MH.
Introduction to ChatGPT and Its Applications
Explore ChatGPT's capabilities and practical applications in various fields, gaining insights into its potential impact on industries and everyday tasks.
The Emotional Machine
Explore the concept of emotional intelligence in machines and its implications for AI development with researcher Megha Chakraborthy.
Building Practical Projects with LLM - Tutorial for Beginners
Develop practical LLM projects: Set up Together AI, use document loaders, invoke LLMs, create prompt templates, and build LLM chains for summarization in this hands-on tutorial.
Scaling LLM Test-Time Compute Optimally for Improved Performance
Explore optimal scaling of LLM test-time compute to improve performance on challenging prompts. Learn strategies for efficient allocation and potential to outperform larger models.
Local Llama 3.2 (3B) Tutorial - Summarization, Structured Text Extraction, and Data Labelling
Explore Llama 3.2 (3B) on Ollama for summarization, data extraction, and labeling. Learn setup, coding, and practical applications in this hands-on tutorial.
Bringing GenAI to the Modern Enterprise - A Production Use-Case in Serverless Java
Develop cutting-edge GenAI applications for enterprises using Java, AI orchestration frameworks, and multiple LLMs. Learn hands-on with a real-world production use-case in a serverless environment.
Java Meets AI: Build LLM-Powered Apps with LangChain4j
Explore LangChain4j framework to build AI-powered Java apps. Learn to integrate LLMs, generate images, and create advanced RAG systems. Dive into Quarkus integration for efficient development and deployment.
Documentation and AI in Technical Writing - Open Documentation Hour
Explore AI's impact on technical documentation, covering accuracy, legality, ethics, and potential applications in this informative session by Canonical's Technical Authors team.
Simplify AI Infrastructure with Kubernetes Operators
Automate AI infrastructure management on Kubernetes using Operators. Learn to streamline cluster provisioning, hardware configuration, and model deployment for efficient ML application deployment.