yay happy to be with my llama.cpp and stability friends!!
AI
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52M Data Breaches Highlight Cybersecurity Talent Gap Globally
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Did you know that 52 million data breaches occurred globally in Q2 and only 4.5 million workforce to counteract? With the rising demand for cybersecurity talent and 3.2 million unfilled cybersecurity positions, breaking into the industry can be challenging and rewarding.
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Code and Trained Model with Speech-to-Speech
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Du code, un modèle que j'ai entrainé et du "spech-to-speech" 🙂
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Runway ML generates photorealistic ads indistinguishable from reality
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Este vídeo creado por Runwayml nos muestra un hipotético spot de una bebida refrescante.
— Juan Merodio (@juanmerodio) 4 mai 2023
Aunque todavía le queda mucho camino, al ritmo que esto avanza, muy pronto estos vídeos serán indistinguibles de la realidad y esto nos tiene que dar mucho en lo que pensar… pic.twitter.com/1uoLcFTvEHEste vídeo creado por Runwayml nos muestra un hipotético spot de una bebida refrescante. Aunque todavía le queda mucho camino, al ritmo que esto avanza, muy pronto estos vídeos serán indistinguibles de la realidad y esto nos tiene que dar mucho en lo que pensar…
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Academic Hiring Power and Institutional Influence at Waterloo
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I am literally the system. I have the power to choose who gets interviews in our department. So at least at Waterloo, it does matter what I find interesting. (caveat all of this with the fact that I only have *influence*, and not dictatorial power)
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Companies Sound Alarm on Generative AI Business Risks
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Chegg was only the beginning: companies increasingly call out ‘Generative AI’ risks to their business https://
thetechnologyletter.com/the-posts/cheg
g-was-only-the-beginning-companies-increasingly-call-out-generative-ai-risks-to-their-business
… $CHGG $CRM $ADBE $META $PATH $DOCU $YEXT $MSFT $GOOGL $AMD $HUBS $UPWK $SPLK $RBLX $BIDU @OpenAI #investing #artificialintelligence #OpenAI #ChatGPT -
Advanced AI Features Coming to JavaScript
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Some really cool and advanced features making their way to JS! Constitutional AI Chain Time weighted retriever LLMChain Extractor (compresses documents post retrieval)
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Router Chains: LLM Selection Methods and Agent Use Cases
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Under the hood, these currently use LLMs to do the selection of the chain – but this can easily be swapped out with embedding similarity or any other method Can be viewed as a simple, one step agent that returns directly What are some other use cases for router chains?
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Forking and Routing: Building Blocks for AI Chain Construction
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Why add this? We view this as a basic building block for constructing chains Just as you could want to run a sequence of chains sequentially, there's also the basic building block of forking and routing to the correct chain What are some of the use cases?