City of Boston interim guidelines for using generative AI, including principles, sample use cases, and guidelines for fact-checking, content disclosure, privacy, and more.
Why Chat With PDF Is Hard And How ChatLLM Gets It Right
Chatting on long docs is hard because most LLMs other than Gemini don't have a large context.
However, even with Gemini's 1M context length, in-context learning is hard, and if you stuff the doc in the context, it doesn't do a good job.... See more
Chat with LLMs to analyze your internal data 🤯
Simply connect your database to SOTA LLMs like GPT-4o, Claude Opus, Google Gemini or Llama-3 and generate for on-the-fly dashboards.
Best part? Access all of these LLMs in a single playground with just $10 a month. https://t.co/LOiJvXvo9K
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 think if you care about the debates over ethics & AI, it is worth reading the OpenAI Model Spec.
It is the first comprehensive attempt to actually lay out the practical principles under which AI operates, by a lab actually building them. Lots there. https://t.co/pca263IXzZ https://t.co/BTLGmXmngD
Zapier Central’s Chrome Extension is live.
You can now take your personal AI assistants anywhere on the Internet.
Chat with any web page, summarize and transform content and take action in 6,000+ apps like Google Sheets, Slack and Shopify—all without leaving your current tab... See more