Unleashing the GenAI Magic - Building a Chatbot for Traders with Generative AI
Explore the creation of a trader-focused chatbot using Generative AI, covering prompt engineering, Retrieval Augmented Generation, and unconventional tech choices for robust, scalable solutions.
AI Engineer Skills for Beginners - OpenAI API and Python
Beginner-friendly introduction to AI engineering, covering APIs, Python, and hands-on projects like building chatbots, chaining prompts, transcription, and image manipulation using OpenAI's tools.
GenAI in Backstage - Turbocharge Developer Productivity
Explore integrating AI capabilities like ChatGPT into Backstage to automate tasks, generate code, and boost developer productivity using open-source components and effective prompting techniques.
Leveraging LLMs for Enterprise Data Management - Strategies and Applications
Explore essential LLM strategies for non-public data applications, including prompt engineering, fine-tuning, and Retrieval Augmented Generation. Learn to transform enterprise data processes with practical techniques and real-world examples.
Getting Started with Retrieval Augmented Generation (RAG) in Java and Spring AI
Learn to implement Retrieval Augmented Generation (RAG) using Java and Spring AI. Explore RAG's applications, setup process, and practical implementation with a simple example.
Config-Based Development for LLMs: Versioning, Routing, and Evaluating LLMs
Explore config-based development for LLMs, covering versioning, routing, and evaluation techniques to transition Generative AI apps from prototype to production efficiently.
Securing AI and LLM-based Applications: Best Practices
Explore security challenges in AI and LLM applications, learn attack scenarios, and discover best practices for mitigating risks and maintaining application integrity.
Building an LLMOps Stack for Large Language Models
Explore LLMOps architecture: MLFlow for LLMs, Vector Databases, RAG strategies, and prompt evaluation. Gain insights into optimizing and deploying large language models effectively.
Microsoft Phi3 Mini 4K Instruct - Chain of Thought Prompting Test
Explore Microsoft Phi3 Mini 4K's Chain of Thought prompting capabilities through practical tests, comparing results with other models like LLama2, Mistral 7B, and LLama3 8B.
Gemma-2 9B: Introduction and Chain of Thought Prompt Testing
Explore Gemma-2, Google's new language model. Compare sizes, formats, and test Chain of Thought capabilities through IT-focused prompts. Hands-on demonstration included.
Microsoft AI: C# SDK Semantic Kernel - How to Use and Create Plugins
Explore Semantic Kernel's C# SDK: create custom plugins, utilize core plugins, and master prompt engineering for enhanced AI development.
Prompt Engineering Techniques for Microsoft Phi3-mini 128k Instruct
Explore prompt engineering techniques for Microsoft Phi3-mini 128k Instruct, including zero-shot, few-shot, CoT, and RAG approaches.
From RAG to RICHES - Retrieval Interlaced with Sequence Generation
Innovative AI approach integrating retrieval into sequence generation, simplifying RAG systems. Adapts to new tasks through prompting, supports multi-hop retrievals, and excels in Open Domain Question Answering.
Flux.1 Image-to-Image and LLM Prompt Enhancement in ComfyUI
Explore image-to-image composition control and AI-assisted prompt enhancement in ComfyUI, featuring Flux.1 workflows and LLM integration for improved image generation.
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Explore advanced probabilistic inference techniques for language models using Twisted Sequential Monte Carlo, enhancing LLM capabilities and safety measures.
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.
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.
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.
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.
The New Economics of Technology and Data
Explore economic shifts driven by geospatial data and AI language models, unlocking new potentials in sustainability, digital twins, and prompt engineering for innovative outcomes.