5 Use Cases For AI-Generated Content In The Hiring Process
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun http://
ow.ly/IW9930swkQ5
GENERATIVE AI
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5 Use Cases For AI-Generated Content In Hiring Process
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Query Your Data Easily with LLMs on Abacus AI Platform
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Here is how easy it is to ask questions and get insights from your data: 1. Connect your data source to our platform
2. We'll process and index your information
3. You can use any of the available LLMs to query it. Check it out https://
abacus.ai -
Atomic Bomb History Mirrors Modern AI Development Race
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it’s a weird moment right now where pop culture is interested in the building of the atomic bomb and so are AI folks who think they’re doing the modern equivalent. I spoke to the historian whose work sits in the middle of this peculiar intersection
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LangSmith Launches on Product Hunt, Challenges CharacterAI
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Well, we didn't expect to launch on @ProductHunt
, but here we are! Thanks to @chrismessina for hunting us Only ~2,300 behind CharacterAI's launch, better watch out @sam_shleifer https://
producthunt.com/posts/langsmit
h?bc=1
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AI Users: More Storytellers Than Builders in Tech
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@magicaltome has 10M users using AI to build PowerPoints, @github Copilot has 1.5M developers! More storytellers than builders, that’s where the problem is..
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Siemens and Microsoft Drive Industrial Productivity with Generative AI
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Siemens and Microsoft drive industrial productivity with generative AI
#AI #AIio #BigData #ML #NLU #Futureofwork @nigelwalsh @pbouillaud @PatrickGunz_CH @pierrepinna @RebekahRadice @Ronald_vanLoon @sbmeunier
@Shirastweet http://
ow.ly/JIvh30swkQ4 -
SHOW-1 and Showrunner Agents: Multi-Agent Simulations for Episodic Content
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To Infinity and Beyond: SHOW-1 and Showrunner Agents in Multi-Agent Simulations
— AK (@_akhaliq) 20 juillet 2023
paper: https://t.co/VKZ8BE7fqy
project page: https://t.co/WGoEDI0iMS
present our approach to generating high-quality episodic content for 2 IP’s (Intellectual Property) using large language models… pic.twitter.com/xzihuj0gUJTo Infinity and Beyond: SHOW-1 and Showrunner Agents in Multi-Agent Simulations paper: https://
fablestudio.github.io/showrunner-age
nts/static/pdfs/To_Infinity_and_Beyond_SHOW-1_And_Showrunner_Agents_in_Multi_Agent_Simulations.pdf
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project page: https://
fablestudio.github.io/showrunner-age
nts/
… present our approach to generating high-quality episodic content for 2 IP’s (Intellectual Property) using large language models -

Genome-Scale Language Model Predicts Viral Variants
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Please include our genome-scale language model with @arvindr_ @argonne which is open access. Trained on 110 million genomes of viruses and bacteria and able to predict new variants of concern for #SARSCoV2 and other viruses and bacteria. https://
github.com/ramanathanlab/
genslm
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Cerebras Introduces Condor Galaxy-1 Exaflop Supercomputer
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To learn more about CG-1, read our detailed technical blog. https://
cerebras.net/blog/introduci
ng-condor-galaxy-1-a-4-exaflop-supercomputer-for-generative-ai/
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Fine-tune Llama 2 models on Replicate platform
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Read more on our blog: https://
replicate.com/blog/fine-tune
-llama-2
… Happy hacking. We can't wait to see what you build.