A Comparison of Machine Learning Model Monitoring Tools and Products
Discover the best open-source and proprietary machine learning model monitoring frameworks and tools.
Dr. Phil Winder
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20 minMore articles
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Dr. Phil Winder
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20 min
EU AI Act Summary: Obligations and Exceptions for Businesses
Comprehensive engineering EU AI Act summary. Key points, obligations, and exceptions for businesses using AI systems.
Dr. Phil Winder
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16 min
A Comparison of Open Source LLM Frameworks for Pipelining
Optimize your LLM projects with the best open source LLM frameworks, Python libraries, and orchestration tools.
Natalia Kuzminykh
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20 min
Testing and Evaluating Large Language Models in AI Applications
A guide to evaluating and testing large language models. Learn how to test your system prompts and evaluate your AI's performance.
Dr. Phil Winder
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17 min
Retrieval-Augmented Generation (RAG) Examples and Use Cases
Watch our webinar to explore Retrieval Augmented Generation (RAG) use cases and advanced LLM techniques to enhance AI applications in 2024.
Dr. Phil Winder
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5 min
Generating Keywords Automatically With llama-cli and Phi-3
Automate SEO keyword generation for your Hugo blog with llama-cli and Phi-3. Enhance related content linking and boost site performance.
Dr. Phil Winder
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8 min
Build a Voice-Based Chatbot with OpenAI, Vocode, and ElevenLabs
Learn to create a chatbot using OpenAI, Vocode, and ElevenLabs for natural voice interactions. An example speech-to-text and text-to-speech system.
Natalia Kuzminykh
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12 min
Revolutionizing IVR Systems: Attaching Voice Models to LLMs
Discover how attaching voice models to large language models (LLMs) revolutionizes IVR systems for superior customer interactions.
Dr. Phil Winder
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4 min
LLM Architecture: RAG Implementation and Design Patterns
Discover the most common LLM architectures for retrieval augmented generation. Including pros and cons and how to choose the best RAG architecture.
Dr. Phil Winder
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6 min
Exploring Small Language Models
Learn about efficient Small Language Models (SLMs) as cost-effective, resource-saving alternative to Large Language Models (LLMs) for AI applications.
Natalia Kuzminykh
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12 minNewsletter
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Case studies and industry analysis from our team. No hype, roughly monthly.