A Whole New Way of Working https://
bit.ly/3z9OetT Powerful new foundation models, together with accessible natural language interfaces, have ushered in a pivotal new phase of AI—one that moves us from “AI on autopilot” to “AI as copilot.”
LLMS
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Foundation Models Transform AI from Autopilot to Copilot
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Navigating the Conversational AI and Text Generative Landscape
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The text generative and conversational AI Landscape consists of ten functional categories with a sampling of representative companies for each category. https://
venturebeat.com/ai/how-to-navi
gate-todays-conversational-ai-and-text-generative-landscape/
… via @VentureBeat #AI #GenerativeAI #ChatGPT #RiskManagement #IOT #FinTech #Entrepreneur #VC -
Building Multi-Tool LLM Framework: ZapierNLA and Langchain Integration
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I have so many folders called "Friends Biographies" Also, haven't figured out how to offer both ZapierNLA and other Langchain tools, so it's now missing web search function now. (It tries w text-completion…) Framework is there, but plenty of work to do
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Beyond Good and Evil: The Next Token Philosophy
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there is no good and evil there is only the next token
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LLM Risks Are Real, But Doomsday Scenarios Feel Overly Dramatic
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I agree with Emily; this campaign, although probably well-intentioned, feels overly dramatic. LLMs and transformers are more effective than anyone expected, and there certainly are real and present risks, but why jump to the doomsday scenario of robots replacing us?
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Steering GPT behavior through weekly model retraining and evaluation
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With GPT-3, didn't have a way to steer the model's behavior. Now we pick a clusters of issues (e.g. model doubling down on wrong answers — something that used to be a huge problem), build evals, collect data, retrain the model weekly, and deploy. Anyone can test if we've improved
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Model Generalization of Helpful AI Assistant Behavior Across Topics
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One example observation — much of model's good behavior across such a broad range of tricky or adversarial topics comes from the model having generalized the human instructors' concept of being a helpful AI assistant. Not something I saw coming!
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High bias on token quality discrimination approach
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Ty I try to keep a high bias on my tokens quality discriminator
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LLM Speak: Reframing Common Descriptions in AI Terminology
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LLM speak :
– You didn't find some material boring. It had low quality tokens.
– You didn't describe a task to someone. You prompted them zero-shot.
– You didn't say something non-sensical. You sampled at a high temperature.
– The person is not bad/evil, they are unaligned.
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Cerebras-GPT: Open-Source LLM Family Under Apache 2.0
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"We believe an open, vibrant community—not just of researchers, and not just of 3-8 LLM guys—is good for us, and it's good for others" @andrewdfeldman discusses with @TiernanRayTech the availability of Cerebras-GPT, a family of GPT models available under the Apache 2.0 license