Risks of Large Language Models (LLM)
With all the excitement around chatGPT, it’s easy to lose sight of the unique risks of generative AI. Large language models (LLMs) -- a form of generative AI -- are really good at creating prose that sounds like a native speaker. But because they’re so good at it, large language models may give a false impression they possess actual understanding. They don't! In this video, Phaedra …
Why Large Language Models Hallucinate
Large language models (LLMs) like chatGPT can generate authoritative-sounding prose on many topics and domains, they are also prone to just "make stuff up". Literally plausible sounding nonsense! In this video, Martin Keen explains the different types of "LLMs hallucinations", why they happen, and ends with recommending steps that you, as a LLM user, can take to minimize their occurrence…
What are Generative AI Models
Generative AI has stunned the world with its ability to create realistic images, code, and dialogue. Here, IBM expert Kate Soule explains how a popular form of generative AI, large language models, works and what it can do for enterprise.
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Self-Deployable AutoGPT and AgentGPT AI Examples
List of videos of YouTubers attempting self-deployable local instances of AutoGPT and AgentGPT open source AI models.
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I literally connected my brain to GPT-4 with JavaScript
Guy hacks his brain with a compact electroencephalogram (EEG) from Neurosity and connects it to GPT-4 with the OpenAI API using JavaScript to read his brainwaves.
‘Sparks of AGI’ – Bombshell GPT-4 Paper: Fully Read w/ 15 Revelations
At 10:48 in the video, he introduces "Part 13 - Data Admission" and quotes a section that states that people may/will want the ability and right to decide which data/content the AI can crawl and use in it's training and modeling.
