Generative #AI has the potential to change the #FutureOfWork •Which jobs will be in demand?
•Which ones are shrinking?
•And which ones could be hardest to fill? Read the report: https://
mckinsey.com/mgi/our-resear
ch/generative-ai-and-the-future-of-work-in-america
… via @McKinsey_MGI
#IoT #5G @SpirosMargaris @DeepLearn007 @pierrepinna
GENERATIVE AI
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Generative AI’s Impact on Future Job Market Demand
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Nothing headphones intègrent une fonction ChatGPT
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Nothing headphones will get a dedicated ChatGPT “on the go” feature 🎧
— 🚨 AI News | TestingCatalog (@testingcatalog) 3 mai 2024
Wondering if there is a good click device this can be integrated with (a ring or smith) cuz tapping on the ear each time is not the best 🤔 https://t.co/I71AAeGl4eNothing headphones will get a dedicated ChatGPT “on the go” feature Wondering if there is a good click device this can be integrated with (a ring or smith) cuz tapping on the ear each time is not the best
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Fund Manager Challenges Tesla FSD Autonomous Driving Claims
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Top fund manager @markhawtin100 gives investors a reality check on Tesla's 'Full Self Driving' news in China: “We should say what they’re doing — everyone’s talking about this full self-driving capability" but FSD is "by no means autonomous driving yet." https://
cnb.cx/3UsKwWq -
Input vs Output Token Pricing for LLMs
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Are those prices for input or output tokens? I think they're for output tokens, but usually I find the input tokens price is more relevant – especially since most models with long context have a much lower cap on output tokens (eg Claude 3 allows 200k input but only 4k output)
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RAG vs Fine-tuning: Understanding AI Model Enhancement Techniques
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"Continue will use similarity search to automatically find important sections when answering your question" sounds like an implementation of RAG, not fine-tuning
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Generative Video Agents Transform Game Creation and Development
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I highly recommend this talk on generative video agent models for game creation. It is one of the best examples of the blending of video and games that @sama recently tweeted about, and which we should expect to grow in the future.
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Gemini Pro 1.5 Long-Context Performance and Pricing Tradeoffs
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The one downside I've seen from super long-context models like that is performance – my experiments with Gemini Pro 1.5 really long prompts has been that they can take 30-90s or more to return a response Also price: input is $7/1m tokens!
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Demo Access for Monthly Updated LoRA Models Available?
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Is there a demo anywhere where I can talk to one of these models that's had a "monthly update" LoRA and see the working end result?
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LoRA Fine-Tuning Chatbot Demo: Proof of Concept Needed
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So far I haven't had a single reply that has linked me to a demo of a chatbot that has used LoRA fine-tuning to learn something new I want to believe it works! But I need to see it working
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Vector Databases and RAG: Training Approaches
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Training – a vector database is RAG and I know that works already