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Raghav Ram: 40 LLMs, One Answer Jim Griffin
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Michael Koved: The Economics of Generative AI Jim Griffin
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Nachiket Mehta: Inside the Data Mesh at Wayfair Jim Griffin
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Zach Elewitz: The Leak Stops Here Jim Griffin
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Pavel Iakubovskii: Kaggle Master at Hugging Face Jim Griffin
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Max Mozgovoy: the End of Traditional UX Research? Jim Griffin
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Marwa Kechaou: A Keen Eye for Computer Vision Jim Griffin
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Iqbal Hossain: The UofAZ Knowledge Map Story Jim Griffin
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 […]
The latest edition of the Hive Systems password table is now available, and it shows ChatGPT as the fastest option by far, for hacking passwords, which certainly requires some explanation! This video looks at the assumptions that go into time is takes for a hacker to get a password by […]
Since there’s lots of attention right now on AGI, it’s time to finally define what that is – digging deeper into the underlying implications of these three words: “artificial general intelligence,” and producing in a succinct one-sentence definition. This video reviews information suggesting that we either have AGI already now, […]
The launch of GPT-4o is a big deal. Here’s a rapid-fire summary of the highlights. This video is a mix down of the 5 key announcements from the original 26 minute video in under one minute. Then, you get a rapid-fire demo of 7 key abilities of GPT-4o in under […]
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, […]
Amazon has introduced an amazing new model called BASE TTS (TTS = text-to-speech). These are the models that accept written text as an input, and then speak that text for us, which is what we use to create talking avatars and chatbots, among many other use cases. BASE stands for […]
