How to Handle Large Text Inputs with Longformer and Hugging Face Transformers: Let’s learn how to handle large text inputs in the Large Language Model (LLM). Preparation Ensure you have the Transformers and datasets package from Hugging Face… https://
kdnuggets.com/how-to-handle-
large-text-inputs-with-longformer-and-hugging-face-transformers?utm_source=dlvr.it&utm_medium=twitter
…
LLMS
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Handling Large Text Inputs with Longformer Transformers
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LLMs Generate More Novel Research Ideas Than Humans
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Can LLMs Generate Novel Research Ideas? This paper from @StanfordAILab performs a human study with 100+ NLP researchers and discovers that LLM-generated ideas are more novel! Excited to have the authors @ChengleiSi @Diyi_Yang and @tatsu_hashimoto here to discuss their work!
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Potential of Reasoning Models Integrated with Web Search
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This makes me wonder about what Reasoning + Perplexity Pro would be able to achieve potentially when web search access becomes accessible to o1
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Foundation Models Master Zero-Shot Learning in Chaotic Systems
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Zero-shot forecasting of chaotic systems https://
bit.ly/3XMvnBe
New foundation models are showing promise for zero-shot learning in chaotic systems that reveals they can compete with custom models, capturing long-term behaviors #AI #MachineLearning #DeepLearning #LLMs -
Updates to Google AI Studio model selection categories
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ICYMI: AI Studio model selector is now split into categories like Gemini 1.5, Gemma, Preview, etc. Are we about to see a new category out there soon?
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Llama 3.2 Launches with Record-Breaking Inference Speed Performance
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Llama 3.2 is here and we're faster than ever! We've been independently verified as the fastest #AI #Inference on @AIatMeta
's Llama 3.2 1B & 3B with … 2470 tokens/sec on 1B 1566 tokens/sec on 3B … all running at full-precision! Start developing -
LLMs Can Generate PowerPoint Presentations
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You can ask LLMs to generate a PowerPoint deck! pic.twitter.com/5mPtzrkmQv
— Abacus.AI (@abacusai) 2 octobre 2024You can ask LLMs to generate a PowerPoint deck!
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ChainBuddy: AI Agent System for Generating LLM Pipelines
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ChainBuddy: An AI Agent System for Generating LLM Pipelines https://
bit.ly/3ZSq8Tf
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Training Models at Scale: 10K+ H100 Infrastructure Guide
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quick mini-post I wrote for @francoisfleuret broadly summarizing the things one needs to do to train models on 10k+ H100s.
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Tokenization Fundamentals: Mastering Text Processing for Generative AI
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Tokenization — turning text into a sequence of integers — is a key part of generative AI, and most API providers charge per million tokens. How does tokenization work? Learn the details of tokenization and RAG optimization in Retrieval Optimization: From Tokenization to Vector… pic.twitter.com/AsOI8UrXkn
— Andrew Ng (@AndrewYNg) 2 octobre 2024Tokenization — turning text into a sequence of integers — is a key part of generative AI, and most API providers charge per million tokens. How does tokenization work? Learn the details of tokenization and RAG optimization in Retrieval Optimization: From Tokenization to Vector