Teach Your Model to Ask Better Questions - Query Refinement in RAG
This generative pre-trained transformer is specifically designed to tackle complex transportation challenges. TransGPT leverages the power of large language models to analyze and interpret structured transportation data, enabling a new era of smart mobility systems.
A deep dive into enhancing retrieval accuracy in Retrieval-Augmented Generation (RAG) systems by comparing the practice of embedding full query contexts with using an LLM to rewrite ambiguous follow-up queries. Explore the trade-offs in speed, precision, and complexity of each approach.
Dockerizing a Gradio app solves the headache of random, temporary URLs generated by share=True. This setup streamlines deployment and ensures consistent access for users or external services. You can build and launch your container effortlessly, leveraging a stable, production-ready approach to ML model hosting.
Learn how to set up a simple API that dynamically provides the Gradio app URL for use in HugoBlox.
Use CodeSandbox to quickly build, test, and deploy Gradio apps without local setup. This cloud-based approach enables seamless prototyping, collaboration, and sharing of interactive ML applications.
Learn how to dynamically embed a Gradio app in HugoBlox using an API-based approach.
Gradio enables quick and easy creation of interactive UIs for ML models, making them accessible to stakeholders and non-technical users. This guide walks through building a simple Gradio app and enhancing it with advanced features.
Agentic systems, powered by LLMs, surpass traditional software by autonomously learning, adapting, and making context-aware decisions. They enhance flexibility, efficiency, and automation in complex, dynamic environments like supply chain management and customer service.
Learn how to deploy DeepSeek-R1 locally on Ubuntu for a fast, secure, and cost-efficient AI inference. This step-by-step guide covers installation, GPU optimization, and troubleshooting for seamless AI model deployment.
We analyzed over a million self-reported work updates from federal employees to uncover key trends and insights. The catch - I don’t have access to the data—yet. But that didn’t stop me from outlining my approach to extracting patterns from massive unstructured text.
Unlock the power of AI collaboration with CrewAI + DeepSeek R1; where autonomous agents analyze, delegate, and act seamlessly. Transform static AI into dynamic problem-solvers; boost automation, intelligence, and efficiency today! 🚀
Run DeepSeek R1 Distill Qwen-1.5B blazing fast on your local machine with vLLM for optimized inference and Ray Dashboard for real-time monitoring! Say goodbye to high cloud costs and latency; unlock powerful, on-premise AI with full control today! 🚀
Useful links
The Art of Mastery in landscapes of corporate challenges
Explore the impact of Conway's Law on student project success by aligning team structure and communication with project outcomes.
What is an Explainable boosting machine? Why do we need them?
Pands is a Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures.
Build a personal knowledge base, leverage AI-driven insights, and collaborate seamlessly with your peers.
Enhance Learning with Multimedia, AI, and Advanced Analytics
Take full control of your personal brand and privacy by migrating away from the big tech platforms!