
Explore Meta's open-source LLAMA 3.1 LLMs, including the 405B model. Compare performance with closed-source models, evaluate capabilities, and learn how to use these AI advancements locally.

Exploring AI assistance beyond coding: leveraging prompts, interaction patterns, and knowledge orchestration for software delivery tasks like analysis and architecture.

Explore efficient AI/LLM inference on edge cloud using WebAssembly. Learn to create lightweight, portable applications for media processing, vision, and language models, running at native speed across CPUs and GPUs.

Explore building production-ready LLM applications with Spring Boot and AI, focusing on architectural patterns, developer experience, observability, resilience, and deployment strategies for real-world use cases.

Discover how Me-LLaMA, a suite of medical language models trained on vast biomedical datasets, outperforms existing LLMs in medical text analysis tasks, advancing healthcare AI applications through improved accuracy and accessibility.

Master Google Sheets essentials: data manipulation, formulas, formatting, pivot tables, and VLOOKUP. Learn to create insightful charts and leverage ChatGPT for enhanced productivity and data analysis.

Develop a Twitter sentiment analysis app for stock market insights using SingleStore AI. Learn to integrate APIs, process real-time data, and create interactive visualizations.

Explore sentiment analysis of spam messages using machine learning and cloud computing, with a humorous twist involving llama photos.

Discover advanced ChatGPT techniques, OpenAI API usage, and the potential of autonomous agents in software development. Gain insights to leverage AI technology effectively in your company.

Exploring the impact of generative AI on software engineering, discussing ethical dilemmas, security concerns, and the future of prompt engineering in development practices.

Explore ChatGPT API basics, pricing, and implementation. Learn to integrate AI capabilities into your projects with practical Python code examples and insights on its significance for developers.

Hands-on Python tutorial for creating, manipulating, and integrating AI-generated images using OpenAI's DALL-E API, including GUI applications and HTML gallery generation.

Comprehensive seminar exploring ChatGPT's API, models, pricing, and applications. Covers technical aspects, ethical considerations, and practical implementation strategies for developers and businesses.

Explore advanced RAG techniques for complex queries, diverse data sources, and evaluation methods to enhance system flexibility and performance in handling sophisticated user requests.

Explore AI-driven digital marketing strategies using ChatGPT, covering market segmentation, social media, email campaigns, SEO, and customer feedback analysis for effective audience targeting and engagement.

Learn to build GenAI applications using Python, from setting up the environment to creating ChatGPT interfaces and text-to-image apps. Explore LangChain and gain practical skills through a real-world case study.

Learn data analytics essentials using ChatGPT, Python, and Excel. Covers data handling, regression modeling, summary statistics, and univariate analysis with practical examples on a car MPG dataset.

Comprehensive guide to Retrieval Augmented Generation in LLMs, covering fundamentals, workflow, applications, and hands-on implementation using LangChain. Ideal for beginners seeking practical knowledge.

Demystifying GPT algorithms: from fundamentals to advanced applications. Explore NLP concepts, model training, ChatGPT capabilities, and practical implementation strategies for leveraging AI in your solutions.

Explore practical AI implementations for software development and business processes. Learn to leverage ChatGPT, OpenAI API, and Semantic Kernel to boost productivity and create innovative solutions.

Build a full-stack AI web app with TypeScript and React, integrating AI for trip planning. Learn frontend, backend, and database setup, plus AI integration and deployment.