Step 3: Upload the data, Here we are uploading the pdf file of a research paper. Once you upload the data, it will embed and index the data into your Clarifai app. Clarifai Apps acts as your vector database.
RESEARCH
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AI Revolutionizes Cancer Prediction and Screening Detection
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Artificial Intelligence is revolutionizing cancer prediction, screening, and detection! By leveraging machine learning and deep learning, we can identify risk factors and monitor patients more effectively. This tech not only enhances diagnostic accuracy but also supports
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Bryan Perozzi Discusses GraphTokens for LLM Graph Reasoning
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At 3pm CEST today, researcher Bryan Perozzi will be at the #ICML2024 Google Research booth to host a Q & A session about improving Graph Reasoning in LLMs with GraphTokens (paper: https://t.co/CMH5QqATZ1). We'll see you there! pic.twitter.com/upkzzBWB8S
— Google AI (@GoogleAI) 22 juillet 2024At 3pm CEST today, researcher Bryan Perozzi will be at the #ICML2024 Google Research booth to host a Q & A session about improving Graph Reasoning in LLMs with GraphTokens (paper: https://
arxiv.org/pdf/2402.05862). We'll see you there! -
AI Model Leak: Access and Implications Discussed
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Durante unas horas el modelo ha estado filtrado. Pero bueno, no hay prisas. Podemos esperar a mañana… Tampoco es que supiera qué hacer con semejante modelo
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High Noise Level Makes Success in AI Difficult Today
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It’s hard to make it in AI today, because the noise level is so spectacularly high.
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India’s LLM Evolution: Culturally Attuned Models and Data Challenges
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At the Global IndiaAI Summit 2024 held in New Delhi, experts convened to discuss the evolution and challenges of LLMs in India, emphasizing the need for culturally attuned models and extensive data resources. Large Language Models are gaining prominence in academia and industry
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7th Neural Scaling Laws Workshop at ICML 2024
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We're Live! Join us for the 7th workshop on Neural Scaling Laws at ICML 2024 Join here: https://
lnkd.in/g9PTnKTG -
Stanford Surrey AI Recognizes Human Sketches with 85% Accuracy
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The research team from @Stanford and the @UniOfSurrey has developed AI that understands human sketches, even from non-artists, with 85% accuracy! This innovation enhances human-AI interaction, recognizing objects in complex scenes and improving design workflows. Discover more
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Sakana AI Develops Foundation Models with High-Resolution Ukiyo-e Artwork
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In collaboration with Ritsumeikan University Art Research Center (@RitsARC) and ROIS-DS Center for Open Data in the Humanities (@rois_codh), Sakana AI is proud to develop foundation models using 🇯🇵 national datasets containing the highest quality, high-resolution Ukiyo-e artwork. https://t.co/fyD8ay1bWb
— hardmaru (@hardmaru) 22 juillet 2024In collaboration with Ritsumeikan University Art Research Center (
@RitsARC
) and ROIS-DS Center for Open Data in the Humanities (
@rois_codh
), Sakana AI is proud to develop foundation models using national datasets containing the highest quality, high-resolution Ukiyo-e artwork. -
Adversarial Training Benchmarking: Average Case vs Attacker Strategy
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As one of the co-inventors of adversarial training I endorse Carlini’s take. The issue is not so much which attack transformations are allowed, the issue is using average case benchmarks when an attacker will not randomly sample from average starting points