Real world learnings delivering enterprise AI solutions

Real world learnings delivering enterprise AI solutions

Every enterprise is under pressure to implement AI - from board mandates to competitive necessity. Yet the path from aspiration to successful implementation is filled with misconceptions, unrealistic expectations, and poorly chosen use cases that waste time and resources before we even tackle technical implementation decisions in this rapidly evolving field..I've spent the past few years implementing AI solutions that deliver measurable business value across government agencies, educational institutions and healthcare organizations.


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Team Topologies

Team Topologies

Matthew and Manuel's excellent book Team Topologies described the challenges and proposed patterns for organizing teams effectively. We'll explore their ideas, what patterns are working, and how they...

5 Tammi 202518min

What are AI Agents?

What are AI Agents?

AI agents are a type of compound AI system that uses a large language model (LLM) to control its logic. Compound AI systems combine models and other components to solve problems, and they are more ada...

4 Tammi 202515min

Scaling AI Model Training and Inferencing Efficiently with PyTorch

Scaling AI Model Training and Inferencing Efficiently with PyTorch

https://youtu.be/85RfazjDPwA?si=TM2RugT9QEd1UOZj Comprehensive Overview of PyTorch Tools for Scaling AI Models Scaling AI models often involves adding more layers to neural networks to enhance their ...

31 Joulu 202425min

What is PyTorch_ (Machine_Deep Learning)

What is PyTorch_ (Machine_Deep Learning)

https://youtu.be/fJ40w_2h8kk?si=YILy9Od6YICopdFf PyTorch is an open-source framework that simplifies the process of building, training, and deploying machine learning and deep learning models. The "...

27 Joulu 202420min

What is Back Propagation

What is Back Propagation

Back propagation is an algorithm that modifies the weights and biases of a neural network to reduce error and improve accuracy. The goal of back propagation is to minimize the difference between the n...

24 Joulu 202414min

Large Language Models Are Zero Shot Reasoners

Large Language Models Are Zero Shot Reasoners

Zero-shot prompting asks a question without giving the LLM any other information. It can be unreliable because a word might have multiple meanings. For example, if you ask an LLM to "explain the diffe...

20 Joulu 202414min

Supervised vs. Unsupervised Learning

Supervised vs. Unsupervised Learning

Supervised learning uses labeled data, like a student learning with a teacher. Unsupervised learning uses unlabeled data and is more like self-study. Supervised learning knows the right answers in a...

17 Joulu 202418min

Use AI-Powered Automation to Accelerate Auto Claims Processing

Use AI-Powered Automation to Accelerate Auto Claims Processing

Insurance companies can reduce the stress of car accidents for their customers by using AI to streamline the claims process. Using AI, an insurance company can set up an automated claims processing wo...

13 Joulu 20244min

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