We just shipped two new features to our console that I think are going to completely change prompt engineering with Claude.
-Prompt generator: Claude writes your prompts for you.
-Variables: Easily inject external info into your prompt.
Let’s walk through how they work in five... See more
📢 Just released: The latest report on the fourth wave of #OpenData!
Discover the diverse scenarios for open data and generative AI in this insightful study by @sverhulst and Hannah Chafetz from @TheGovLab.
Learn more here 👉 https://t.co/wvpQrU1WH4 https://t.co/p5dFN6mEVo
City of Boston interim guidelines for using generative AI, including principles, sample use cases, and guidelines for fact-checking, content disclosure, privacy, and more.
Proposing Ctrl-G, a neurosymbolic framework that enables arbitrary LLMs to follow logical constraints (length control, infilling …) with 100% guarantees.
Ctrl-G beats GPT4 on the task of text editing by >30% higher satisfaction rate in human eval.
https://t.co/U6oz3bc935
"We hope that such tools may help us to gain novel insight into the psychology of an understudied pool of humans—namely, the dead"
Overview of work on HLLMs - language models trained on historical texts to simulate historical attitudes and perspectives. https://t.co/joGjm7brgs https://t.co/lg59eRS1So
Cody now has a mechanism for pulling in context from *outside* the codebase!
Introducing OpenCtx, a protocol for providing relevant technical context to humans and AI. This builds on Sourcegraph's foundation as the world's best code search and connects our code graph to entities like issues, designs, technical docs,... See more
I wanted to see if AI could code me a complex app.
Not a crappy little one-off script. A real program.
Just one little problem: I mostly suck at coding.
So can AI make magic for someone like me?
Yeah. But...it's... See more
Really like how accessible but also thoughtful this book is.
Instead of jumping into the mechanics of ChatGPT (that it gets to) the first part of the book is about the evolution of neural nets (and deep learning), limitations and the concept of computational irreducibility. https://t.co/gPIvaz7wcf