David Barber @davidobarber
Director UCL Centre for AI and UiPath Distinguished Scientist. Co-founder https://t.co/Wx3VpUByR2. Pro: cycling, walking, EU. @[email protected]. Views my own. davidbarber.github.io London, England Joined March 2017-
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David Barber retweeted
📄 Want to upload local long PDFs on Claude but get context limit reached errors? 🚀 In Claude Desktop, you can use PageIndex to upload your local files directly — no more context limits. 👉 Easy setup at pageindex.ai/mcp. 🆓 1,000 pages free. #PageIndex #RAG #Claude
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David Barber retweeted
Meet the first long-context OCR — PageIndex OCR. It can convert PDFs to Markdown with the document structure preserved. 📄 Upload a PDF ⚡ Get Markdown output (global structure preserved) 🌳 Navigate the hierarchical structure of the document 🆓 Try it now with 200 pages free:…
Please do consider submitting to the ICML Workshop on Computer Use Agents. Deadline May 18. x.com/workshopcua/st…
Please do consider submitting to the ICML Workshop on Computer Use Agents. Deadline May 18. x.com/workshopcua/st…
David Barber retweeted
Tired of the poor accuracy of similarity-based retrieval on long documents? You need reasoning-based RAG. We've open-sourced PageIndex — a tool for building indexes optimized for reasoning-based RAG and deep research. github.com/VectifyAI/Page…
David Barber retweeted
Talk by Nicolas Chopin, Prof of Statistics, Paris, hosted by AI Centre/ ELLIS ellis.eu Date: Monday 17th March 2025 Time: 12:30 - lunch; 1-2 - talk Location: UCL AI Centre, 90 High Holborn For more info and sign up: bit.ly/3X7ko5O
For the UK Gen AI community, we are inviting submissions for Gen AI research posters to be displayed during our launch event on 4 March at the Crick Institute in London. Please complete this form if you would like to be considered for the exhibition: forms.office.com/e/gnRR8uvW8e
Important article in the FT about the need for the UK to rethink university and PhD funding. PhD students are the lifeblood of research, teaching and innovation. ft.com/content/a65659…
David Barber retweeted
Anyone can ship AI features quickly, but getting them from OK to great really comes down to the quality of your evaluations. At @GustoHQ, we built our AI workflows around Humanloop, which has been core to shortening our eval cycle time. Congrats on launching, @humanloop!
Anyone can ship AI features quickly, but getting them from OK to great really comes down to the quality of your evaluations. At @GustoHQ, we built our AI workflows around Humanloop, which has been core to shortening our eval cycle time. Congrats on launching, @humanloop!
David Barber retweeted
🚀Mafin2 is based on our new MCTS RAG framework, achieving state-of-the-art accuracy for financial data!
🚀Mafin2 is based on our new MCTS RAG framework, achieving state-of-the-art accuracy for financial data!
This is a very nice piece of work, showing how to use the optimal form of the denoising covariance to improve generations.
This is a very nice piece of work, showing how to use the optimal form of the denoising covariance to improve generations.
The UCL Venturer Programme is a new way to fund PhD studentships and Postdocs and create a startup. If you're an investor or corporate looking to access world leading AI talent for innovation, please do join us at the UCL AI Centre on 14th November eventbrite.co.uk/e/ucl-venturer…
We show how to take a pretrained model (like Gemma) and extend the context significantly with only linear scaling cost. As good as Mamba and other SOTA models for language modelling but with global context. Great work by @ai_ucl @UiPath arxiv.org/abs/2402.17512
David Barber retweeted
Wonderful anecdote from Turing Award winner Manuel Blum who was told by his teachers that he would be lucky even to finish school. Still going strong at 86. Great to chat with @mmbronstein and make new friends. Thanks #WAIC2024 and unidt for hosting.
David Barber retweeted
Llama3 shows the importance of dataset quality and size during fine-tuning. How to achieve effective fine-tuning while minimizing labeling costs? Check out our paper on active preference learning for LLM, now accepted by #ICML2024 🎉. Stay tuned for the camera-ready version.
Llama3 shows the importance of dataset quality and size during fine-tuning. How to achieve effective fine-tuning while minimizing labeling costs? Check out our paper on active preference learning for LLM, now accepted by #ICML2024 🎉. Stay tuned for the camera-ready version.
David Barber retweeted
Retrieval Augmented Generation (RAG) is crucial for building AI applications that require contextual awareness or specific domain knowledge. Our latest explainer is an introduction to RAG - what it is, how it works and why it's important. Read here: humanloop.com/blog/rag-expla…
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