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Putting only one Presidential candidate on right before the election was not cool, but this is very funny 😂
This is the system prompt for Apple Intelligence. Turns out Apple's prompt engineers are as clueless about how LLM work as all the others.
All his studies, Lewis realized, pointed to ONE truth: “the books in which we thought beauty was located will betray us if we trust them; it was not in them, it only came through them” Myths couldn’t heal his heart because they weren’t truth — but they were pointing to truth
I'm not kidding around: go to bolt․new and type in: "make a spotify clone" I'm speechless.
You can now talk to Copilot - really going to be useful when you're not in the office blogs.microsoft.com/blog/2024/10/0…
ChatGPT Nerds: Is there a way to build a custom GPT that is trained on a Google Drive that constantly retrains the GPT? I basically want to create a Google Drive that has all my personal financial information and legal documents and then be able to query it.
This was one of the most extraordinary and emotive experiences I’ve had as a journalist. Seven convicted sex abusers sat silently in the dock - many looking to their families in the public gallery or glumly staring at the floor - as a survivor of the ‘harrowing’ ordeal they…
I spent 1 month far from civilization to grow our SaaS Here is what my life looked like, ... and the results
The way that Jensen Huang runs Nvidia is wild: 40 direct reports. No 1:1s. No formal planning cycles. And no status reports. In a recent interview, he went in-depth on his Leadership style. Every entrepreneur must understand why it works:
Meta won't release new AI models in the EU due to the strict, and "unpredictable" regulatory environment. Where does the balance between protecting consumers and growth lie? axios.com/2024/07/17/met…
AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK government transactions turing.ac.uk/sites/default/… turing.ac.uk/news/publicati… Researchers estimated the number of citizen-facing transactions by UK central government through AST scores…
turing.ac.uk
AI for bureaucratic productivity: Measuring the potential of AI to help automate 143 million UK...
There is currently considerable excitement within government about the potential of artificial intelligence to improve public service productivity through th
AI Agents: A New Performance Benchmark Current benchmarks for AI agents are not accurate enough. They only assess single interactions & average performance, missing real-world dynamics, reliability, and adaptability. Introducing a New Benchmark The new 𝜏-bench addresses these…
📝 New from FAIR: An Introduction to Vision-Language Modeling. Vision-language models (VLMs) are an area of research that holds a lot of potential to change our interactions with technology, however there are many challenges in building these types of models. Together with a set…
Superintelligence is within reach. Building safe superintelligence (SSI) is the most important technical problem of our time. We've started the world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence. It’s called Safe Superintelligence…
Demystifying CLIP Data paper page: huggingface.co/papers/2309.16… Contrastive Language-Image Pre-training (CLIP) is an approach that has advanced research and applications in computer vision, fueling modern recognition systems and generative models. We believe that the main ingredient…
🥁 Llama3 is out 🥁 8B and 70B models available today. 8k context length. Trained with 15 trillion tokens on a custom-built 24k GPU cluster. Great performance on various benchmarks, with Llam3-8B doing better than Llama2-70B in some cases. More versions are coming over the next…
Should we account for the diverse ways that an image can be captioned? In our #ICML2024 paper. We propose Llip — a Vision Language Pretraining method that models the diverse ways in which an image can be captioned! 📜arxiv.org/abs/2405.00740 🧵👄
Evaluating the Openness of Open Source AI Models Many AI models claim to be open but restrict code & data access. Companies like Meta & Microsoft label their models open but share little info. This practice, called open-washing, fakes transparency. Truly open models should let…
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