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Iqbal Hossain: The UofAZ Knowledge Map Story Jim Griffin
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Jeffrey Spyropoulos: Making Analytics Count at JCP Jim Griffin
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Tapan Khopkar: A ‘MasterClass’ in Marketing Mix Jim Griffin
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Aida Farahani: From 2D to 3D in Seconds Jim Griffin
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Nikhil Patel: Inside Sally Beauty’s Data Strategy Jim Griffin
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Victor Perrine: From Bananas to $Billions Jim Griffin
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Ray Pettit: New Models for AI Literacy? Jim Griffin
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Ivan Pinto: A Year of AI Testing in Software Dev Jim Griffin
Last week, several news outlets ran a story about SharkEye, which is an AI-vision shark detection program, developed at the University of California, Santa Barbara, and deployed at California’s Padaro Beach, which is an area where surfers and great white sharks are both frequently found. After quickly describing the program […]
Companies worldwide grappled on Friday with what Troy Hunt, famously described as “the largest IT outage in history,” caused by a faulty sensor configuration update that got pushed to Microsoft by the cyber-security giant, CrowdStrike, resulting in a $31 billion loss in market capitalization for the company. Specific information about […]
There’s a big breakthrough that just came out for handling large language models on smartphones. It’s called PowerInfer-2 and what it does is look at every option for a processing an LLM on a particular smartphone, and picks the fastest way for that particular LLM on that particular device. For […]
Last week, NVIDIA announced Nemotron-4, which consists of three models: Base, Instruct and Reward. These three models work together within the NeMo framework to enable the creation and fine-tuning of new large language models. At 340 billion parameters, this new entrant far bigger than any other open source model, but […]
Ollama is a popular platform for running language models on your local machine, with access to almost 100 different open source models, including llama-3 from Meta, Phi3 from Microsoft, Aya 23 from Cohere, the Gemma models from DeepMind and Mistral. This video shows llama-3 being run on a laptop, using […]
This is a demo of Any Summary, which is a tool that uses OpenAI on the back end to summarize 12 different file types, up to 100 MB each, including PDFs, audio files, videos, and web pages. The context for the demo was an email I received on a Friday, […]
This week, we joined up with Mr. Bongo to create a custom GPT, using Retrieval Augmented Generation (RAG), so it uses only our own internal documents, and is available only to our own internal users. This was done in a step-by-step manner, like a ‘How To’ video. For this demo, […]
“Segment of One” is where every customer in a database of millions can be treated in a different way. Although there’s been buzz about that since at least 1989, true Segment of One is still rare. This video looks under the hood at the model and approach for a true […]
As you get ready to implement a generative AI project, you’ll probably start hearing about Pinecone. That’s because you’ll need a vector database, or some other kind of vector alternative as the memory layer, and since Pinecone was an early mover that helped to create the vector database category, you’ll […]
