LLMs
The next-generation command line.
The source of truth for your team’s secrets, scripts, and SSH credentials.
The source of truth for your team’s secrets, scripts, and SSH credentials.
Fig
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How enterprises are using open source LLMs: 16 examples.
Many use Llama-2: Brave, Wells Fargo, IBM, The Grammy Awards, Perplexity, Shopify, LyRise, Niantic....
Quote: “A lot of customer are asking themselves: Wait a second, why am I paying for super large model that knows very little about my business? Couldn’t I just use one of these open-source... See more
Many use Llama-2: Brave, Wells Fargo, IBM, The Grammy Awards, Perplexity, Shopify, LyRise, Niantic....
Quote: “A lot of customer are asking themselves: Wait a second, why am I paying for super large model that knows very little about my business? Couldn’t I just use one of these open-source... See more
Paul Venuto • feed updates
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
The need for better AI or LLM-specific infrastructure, along with the host of problems that come with non-deterministic of LLMs, means that there’s more software work ahead of us, not less. Abstraction layers like LLMs create more possibilities and thus, more work.
Is this a good thing or a bad thing? I’m not sure.
A great example of this is frontend... See more
Is this a good thing or a bad thing? I’m not sure.
A great example of this is frontend... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
Top considerations when choosing foundation models
Accuracy
Cost
Latency
Privacy
Top challenges when deploying production AI
Serving cost
Evaluation
Infra reliability
Model quality
Accuracy
Cost
Latency
Privacy
Top challenges when deploying production AI
Serving cost
Evaluation
Infra reliability
Model quality
Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.
In addition to using our built-in capabilities, you can also define custom actions by making one or more APIs available to the GPT. Like plugins, actions allow GPTs to integrate external data or interact with the real-world. Connect GPTs to databases, plug them into emails, or make them your shopping assistant. For example, you could integrate a... See more
Introducing GPTs
Menlo Ventures released a report on ‘The State of Generative AI in the Enterprise’ and found that adoption is trailing the hype. Details below:
Generative AI still represents less than 1% of cloud spend by surveyed enterprises, including just an 8% increase in 2023.
Safety and ROI continue to be prime concerns, and the tangible advantages of being... See more
Generative AI still represents less than 1% of cloud spend by surveyed enterprises, including just an 8% increase in 2023.
Safety and ROI continue to be prime concerns, and the tangible advantages of being... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
The OpenAI Assistants API offers more than a simple prompt-sharing interface; it provides a sophisticated framework for AI interactions. It allows for persistent conversation sessions with automatic context management (Threads), structured interactions (Messages and Runs), integration with various tools for enhanced capabilities, customization... See more