Carsten Ullrich (@ullrich) header
Carsten Ullrich (@ullrich) profile picture

Competence Lead AI

Berlin, Germany
Joined April 2007
Photo by Carsten Ullrich (@ullrich)Photo by Carsten Ullrich (@ullrich)Photo by Carsten Ullrich (@ullrich)Photo by Carsten Ullrich (@ullrich)Photo by Carsten Ullrich (@ullrich)Photo by Carsten Ullrich (@ullrich)Photo by Carsten Ullrich (@ullrich)
Carsten Ullrich retweeted
The hidden links between a giant of investigative journalism (e.g. ⁦@derspiegel)⁩ and the US government. 🚨 mediapart.fr/en/journal/inte…
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AI can predict public opinion by modeling the media diets of population subgroups. By fine-tuning language models like BERT on news & media consumed by specific groups, researchers could accurately predict their survey responses on issues like COVID-19. arxiv.org/pdf/2303.16779.pdf
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I'm gone for 12 hours and OpenAI just tossed the whole world upside down again 🤯 Even though I'm keeping up with all the Generative AI progress, Sora is such a big jump in video generation capabilities that it feels unreal. Time for a mega thread 🔽
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AI (ChatGPT, DALL-E) has lower CO2 emissions than humans in writing/illustrating. ChatGPT emits 1100x less CO2 per text page than a US resident, DALL-E 2500x less. Intriguing insight into AI's environmental impact. arxiv.org/abs/2303.06219
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Prompt engineering vs. model fine-tuning: A new study reveals GPT-4 outperforms specialized models like BioGPT & Med-PaLM in medical benchmarks using clever prompting. Shows the power of 'generic' models with the right prompts. doi.org/10.48550/arXiv.2311.…
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Very technical & impressive visualization and explanation of how large language models compute their answers. Worth clicking through the overview (using nano-gpt), which by itself is already impressive, & then on GPT-3 to see the difference in scale. bbycroft.net/llm #llm
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That is impressive. Looking forward to get my hands on it.
🚨 BREAKING: Google DeepMind just revealed Gemini- ChatGPT's biggest competitor. Gemini is the FIRST multimodal AI to outperform human experts on the MMLU, scoring over 90%.
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Separating quantum computing hype from reality is tough. Prof. Juliane Krämer, a cryptography expert, estimates 20-50 years for significant practical application. Big physics challenges remain (source in German) inf.gi.de/03/wann-wenn-nicht…
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Carsten Ullrich retweeted
I had so much fun preparing this talk. Per request, here are the slides: huyenchip.com/2023/06/07/gen… The idea came from many conversations I’ve had recently with friends who need to figure out their generative AI strategy. I’d love to hear about your experience through this process.
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An overview on how language models are used in practice today: "there was consensus that LLM APIs will remain a key pillar, followed in popularity by retrieval mechanisms and development frameworks like LangChain." #llm sequoiacap.com/article/llm-s…
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Carsten Ullrich retweeted
FinGPT: Open-Source Financial LLMs FinGPT is an open-source LLM for the finance sector. It takes a data-centric approach, providing researchers & practitioners with accessible resources to develop FinLLMs. paper: arxiv.org/abs/2306.06031 code: github.com/AI4Finance-Founda…
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Carsten Ullrich retweeted
A statistician's view of AGI doomer drama.
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Cory Doctorow has a point: The misguided AI doomerism serves to distract regulation efforts and to inflate business models. I think he underestimates the capabilities of generative AI, but his main argument holds. doctorow.medium.com/ayyyyyy-…
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The "Statement on AI Risk" is seriously misguided in my view. We face many risks. The most serious due to IT is unwanted nuclear warfare due to minimal reaction time Information in German: lnkd.in/eJVEKV2U An article in English: fwes.info/fwes-AGF-19-1-en.p…
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Brilliant!
Introducing – Paragraphica! 📡📷 A camera that takes photos using location data. It describes the place you are at and then converts it into an AI-generated "photo". See more here: bjoernkarmann.dk/project/par… or try to take your own photo here: paragraphica.bjoernkarmann.d…
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What emacs package can you recommend for integrating ChatGPT or GPT-3/4?
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