UK-based TechBio company @benevolent_ai uses Claude to evaluate datasets, annotate evidence for model fine-tuning, and textualize non-literature data modalities for its models to reason over.
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AI Data Extraction Accuracy Requires Human Review
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I included the date mistake (assuming 2019 not 2024) in the video to try to help illustrate that – it's generally great at extracting things correctly if everything is present in the text, but you still have to review what it did because there are many ways things could go wrong
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Data Preprocessing for RAG Systems and LLM Applications
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Data preprocessing is critical for building effective RAG systems. Our new short course, Preprocessing Unstructured Data for LLM Applications, taught by @mrobinson0623 of @UnstructuredIO, demonstrates important but sometimes overlooked aspects of RAG systems:
— Andrew Ng (@AndrewYNg) 10 avril 2024
– How to extract… pic.twitter.com/mfhHoc2QfZData preprocessing is critical for building effective RAG systems. Our new short course, Preprocessing Unstructured Data for LLM Applications, taught by @mrobinson0623 of @UnstructuredIO
, demonstrates important but sometimes overlooked aspects of RAG systems: – How to extract -
GPT-4 Turbo with Vision: Function Calling Now Supports Image Inputs
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We just launched GPT-4 Turbo with Vision, so you can now use function calling with image inputs. Looking forward to seeing what you build with it!
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Maestro Updated to Use GPT Model Integration
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I have already updated Maestro to use GPT in the repository. All you have to do is change the name of the model in the code.
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GPT-4 Turbo with Vision: Examples from Devin, Healthifyme, and Tldraw
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Thanks! Yes, we mentioned a few great examples in the @OpenAIDevs thread: Devin by @cognition_labs
, @healthifyme
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Developer-User Communication Gap in Software Development
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According to long-time developer Frank Ray, software development goes wrong when there's a gap between the end user and developer. "Software development works best when developers interact directly with users, hearing about their experiences with the software and discussing what
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LLaVA Vision Models Integration with LLM Tools
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Yeah I'd absolutely consider that – I have some work going on at the moment to get LLaVA and other vision models working with my LLM tool, I can definitely see the two projects coming together in the future
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GPT-4 Turbo Improvements: Code Generation and Vision Function Calling
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From a full day of testing with the new gpt-4-turbo, a few things stand out: It's much less lazy and more willing to output large chunks of complete code. It seems better at reasoning. Plus, function calling with vision is going to be a huge unlock.
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Reverse Engineering System Instructions for REST API
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The REST API documentation doesn't cover system instructions yet, so I had to reverse engineer how to use them from the Python client library – notes on that here https://
github.com/simonw/llm-gem
ini/issues/6#issuecomment-2046460319
… The JSON looks like this: