Nicolay Gerold
@nicolaygerold
Nicolay Gerold
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Unlike consumers, enterprises want control over how their data is used and shared with companies, including the providers of AI software. Enterprises have spent a lot effort in consolidating data from different sources and bringing them in-house (this article Partner integrations + System of Intelligence: Today’s deepest Moat by fellow Medium... See more
AI Startup Trends: Insights from Y Combinator’s Latest Batch
The AI engineering framework
Marvin is a lightweight AI engineering framework for building natural language interfaces that are reliable, scalable, and easy to trust.
Sometimes the most challenging part of working with generative AI is remembering that it's not magic; it's software. It's new, it's nondeterministic, and it's incredibly powerful - but... See more
Marvin is a lightweight AI engineering framework for building natural language interfaces that are reliable, scalable, and easy to trust.
Sometimes the most challenging part of working with generative AI is remembering that it's not magic; it's software. It's new, it's nondeterministic, and it's incredibly powerful - but... See more
PrefectHQ • GitHub - PrefectHQ/marvin: ✨ Build AI interfaces that spark joy
It turns out AutoGPT recently went through “vector memory revamp” (pull request) that removed all vector db implementations and left out only a couple of classes responsible for memory management, with a JSON file becoming the default way to store memories/embeddings.
Why AutoGPT engineers ditched vector databases | Dariusz Semba
The idea is that humans will always remain in command. Essentially, it’s about setting boundaries, limits that an AI can’t cross. And ensuring that those boundaries create provable safety all the way from the actual code to the way it interacts with other AIs—or with humans—to the motivations and incentives of the companies creating the technology.... See more
Will Douglas Heaven • DeepMind’s Cofounder: Generative AI Is Just a Phase. What’s Next Is Interactive AI.
Selling the name of the thing is not always selling the thing.
So be cautious when a salesperson comes knocking on your door with an “AI solution” that fixes everything. Anyone I ever worked with who actually builds things calls it machine learning anyway.
Here are some questions to help establish vendor credibility:
Ask them what broad swath of... See more
So be cautious when a salesperson comes knocking on your door with an “AI solution” that fixes everything. Anyone I ever worked with who actually builds things calls it machine learning anyway.
Here are some questions to help establish vendor credibility:
Ask them what broad swath of... See more
Otakar G. Hubschmann • “We’ll call it AI to Sell it, Machine Learning to Build it”
Zerox OCR
A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense!
The general logic:
A dead simple way of OCR-ing a document for AI ingestion. Documents are meant to be a visual representation after all. With weird layouts, tables, charts, etc. The vision models just make sense!
The general logic:
- Pass in a PDF (URL or file buffer)
- Turn the PDF into a series of images
- Pass each image to GPT and ask nicely for Markdown
- Aggregat
Tyler Maran • GitHub - getomni-ai/zerox: Zero shot pdf OCR with gpt-4o-mini
An up-and-coming library that appears to have equally good features is Tanstack Router . The Tanstack Router was made to be fully type-safe and offer great defaults for data fetching just like React Router version 6 provides.