AI, Machine Learning, Reinforcement Learning, and MLOps Articles
Learn more about AI, machine learning, reinforcement learning, and MLOps with our insight-packed articles. Our AI blog delves into industrial use of AI, the machine learning blog is more technical, the reinforcement learning blog is industrially renowned, and our mlops blog discusses operational ML.
The use of artificial intelligence (AI) in supply chains has shifted from being a buzzword to a powerful tool with transformative potential. AI is no longer just an emerging technology—it is actively reshaping how companies approach their supply chain operations. I recently presented how AI, including generative AI, is transforming the supply chain industry. This post dives into the key insights from my presentation, highlighting the role AI plays in improving supply chains and what the future may hold.
AI offers considerable benefits across almost every commercial enterprise, from efficiency gains to the potential for brand new products. But it also represents a threat, opening up possibilities for new entrants to disrupt established markets.
In business environments, company executives look to produce an ‘AI Strategy’ but can lose sight of their objectives, rather like a politician thinking, “Something needs to be done and this is something, so let’s do this.
Machine learning (ML) model monitoring is a crucial part of the MLOps lifecycle. It ensures that your models are performing as expected and that they are not degrading over time. There are many tools available to help you monitor your models, from open-source frameworks to proprietary SaaS solutions. In this article, I’ll compare some of the best open-source and proprietary machine learning model monitoring tools available today.
The European Union (EU) Artificial Intelligence (AI) Act has been signed into law. In previous articles and webinars I investigated the potential impact of the Act for those that use AI systems. The Act has changed significantly since the draft version was released, but now it is signed I can provide a summary based on the final text.
Discover top open source LLM frameworks and orchestration tools. Explore popular LLM projects, including LangChain and LlamaIndex, for seamless integration. Learn about Python LLM libraries, LLM agent frameworks, and the best tools for LLM development and orchestration.
With the rapidly expanding use of large language models (LLMs) in downstream products, the need to ensure performance and reliability is crucial. But with random outputs and non-deterministic behaviour how do you know if you application performs, or works at all? This webinar offers a comprehensive, vendor-agnostic exploration of techniques and best practices for testing and evaluating LLMs, ensuring they meet the desired success criteria and perform effectively across varied scenarios.
Watch our webinar to explore Retrieval Augmented Generation (RAG) and its integration with Large Language Models (LLMs). Learn about RAG use cases, advanced LLM architectures, and techniques to enhance AI applications. Ideal for professionals utilizing or interested in RAG and LLM-powered systems.
Automate keyword generation for your Hugo blog with llama-cli and Phi-3. Learn how Dr. Phil Winder used local language models to generate SEO-friendly keywords for Winder.AI, enhancing related content linking and site performance. Get the complete script and code explanation for effortless keyword management.
Why might we want to make an LLM talk? The concept of having a human-like conversation with an advanced AI model is an interesting idea that has many practical applications.
Voice-based models are transforming how we interact with technology, making interactions more natural and intuitive. By enabling AI to talk, we open the door to numerous practical applications, from accessibility to enhanced human-machine interactions. This guide explores how to create a voice-based chatbot using OpenAI, Vocode and ElevenLabs.
Dr. Phil WinderCEO
Charles HumbleAssociate Editor
Natalia KuzminykhAssociate Data Science Content Editor
