Retrieval Augmented Generation for AI Apps - Conf42 Python 2024
Explore Retrieval Augmented Generation for AI apps, learning to build generative AI-powered applications rapidly and efficiently.
The Power of GenAI: Generate Growth and Innovation with Data
Explore how GenAI and data drive innovation, growth, and personalized experiences. Learn about RAG, vector embeddings, and building data foundations for AI applications.
Adding Generative AI to Real-Time Streaming Pipelines - Conf42 LLMs 2024
Explore integrating generative AI into real-time streaming pipelines, covering enterprise use cases, model selection, and implementation using tools like NiFi, Flink SQL, and cloud services.
Future of LLMs and Machine Learning Productionization - Conf42 LLMs 2024
Explore the future of LLM deployment, traditional AI models in production, and generative AI application development using Langchain frameworks. Gain insights into MLOps and ChatGPT's impact.
LLMs Revolutionizing Marketing Strategies - Conf42 LLMs 2024
Explore how LLMs revolutionize marketing strategies, optimize metrics, and tackle challenges. Discover practical use cases and see live demos showcasing innovative applications in the field.
Journey to Next-Gen AIOps: eBPF and GenAI - Conf42 SRE 2024
Explore next-gen AIOps with eBPF and GenAI, addressing SRE challenges through innovative use cases and transformative approaches to monitoring and automation.
Mastering AI Product Management for Enterprises - Conf42 ML 2024
Explore enterprise AI product management: benefits, risks, and deployment strategies for leveraging generative AI to drive innovation and solve business challenges.
Enriching Generative AI Events in Real-Time Streaming Pipelines
Explore real-time streaming pipelines for enriching generative AI events, covering unstructured data handling, Milvus architecture, and NiFi 2.0 features with practical demos.
LLM SecOps - Securing Large Language Model Applications
Explore LLM SecOps: from understanding and building LLM applications to addressing security challenges and implementing practical safeguards for robust AI-driven systems.
Python Powered People: Teaching Non-Tech Professionals to Code
Discover how to empower non-tech professionals with Python skills, transforming workplaces and unleashing innovation across diverse teams and industries.
Moving Beyond Screening via Generative Machine Learning Models for Materials Discovery
Explore generative machine learning models for materials discovery, moving beyond screening to generate novel structures and chemistries using advanced algorithms and techniques.
Synthetic Data for Computer Vision Problems When Real Annotation Is Too Expensive
Explore synthetic data generation for computer vision tasks when labeled data is scarce. Learn tools and approaches to build effective models using primarily synthetic data.
Training and Using a Large Language Model to Write Theatrical Performances
Explore AI-assisted creative writing for theater, covering LLM training, data preprocessing, and collaborative script generation. Learn about challenges and techniques in NLP for theatrical performances.
The Ethical Implications of Building a Real-Life Skynet
Explore the ethical challenges and limitations of generative AI, its potential for improvement, and its broader implications in the evolving landscape of artificial intelligence.
Data Development for Improving GenAI Systems - A Systems-Level Approach
Explore how data development enhances GenAI systems through a case study improving RAG accuracy by 54 points in 3 weeks using scalable tools for embedding and retrieval models.
Why GenAI Needs Careful Training Data Management
Explore the critical role of training data management in GenAI, including harmonization across stages and its impact on model effectiveness and safety in various domains and languages.
AI Copilots for Businesses - Driving Innovation with Generative AI
Explore AI copilots' impact on enterprise productivity and data management, from RAG pipelines to generative AI solutions transforming business operations and customer experiences.
How Data Powers Stable Diffusion and Generative AI
Explore the crucial role of data in developing Stable Diffusion and Generative AI with insights from Stability AI's CEO on leveraging data-driven approaches to drive innovation and shape AI's future.
Best Practices and Tips for Fine-Tuning Representation Models
Discover techniques to enhance generative applications through representation model fine-tuning. Learn data quality strategies, augmentation methods, and optimization tips for RAG-based pipelines.
Mastering Generative AI - Tools and Techniques with VS Code, GitHub, and Azure
Explore tools and techniques for developing, testing, and deploying generative AI applications using Visual Studio Code, GitHub, and Azure. Learn to build innovative applications with GPT-4 and cutting-edge technologies.
Bringing LLMs Everywhere Through Machine Learning Compilation
Explore machine learning compilation techniques to deploy large language models on diverse devices, from PCs to mobile phones, using GPU acceleration and Apache TVM.