Fullstack RAG Application in TypeScript A fantastic guide by @dbabbs walks through how to do this from scratch "This guide is tailored for web developers who are looking to learn how to integrate LLMs and vector databases into their projects." Blog: https://
medium.com/@dbabbs/guide-
create-a-full-stack-semantic-search-web-app-with-custom-documents-edeae2b35b3c
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GENERATIVE AI
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Fullstack RAG Application TypeScript Guide LLMs Vector Databases
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Building Transformers: Complete Concept and Code Implementation
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Transformer: Concept and code from scratch https://
bit.ly/45YXobu #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Pi AI Sparks Explosion of Creative Work on Possible Podcast
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"A huge explosion of creative work". Great to hear @heypi_ai on the Possible podcast https://t.co/U0JZHJGKLj
— Mustafa Suleyman (@mustafasuleyman) 29 octobre 2023"A huge explosion of creative work". Great to hear @heypi_ai on the Possible podcast
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ChatGPT’s Multimodal Capabilities: Path Toward Artificial General Intelligence
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Explore the #transformative advancements in #ChatGPT's abilities to "see" and "hear," and delve into the potential #implications these #capabilities have on our relationship with #AI, its role and the broader quest for #Artificial #General #Intelligence.
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Training Data Bias: Gender Representation in AI Image Datasets
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Could there be anything accounting for general exposure to images of people in daily life? E.g. magazines for women depicting women, magazines for men depicting women. Or forward facing images with eye contact?
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GPT-4 now analyzes PDFs
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GPT-4 can now analyze PDFs A moment of silence for the 10,000 AI startups that just became obsolete.
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MimicGen: Scalable Robot Learning from Human Demonstrations
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MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations Mandlekar et al.: https://
arxiv.org/abs/2310.17596 #Robotics #DeepLearning #ArtificialIntelligence -
CommonCanvas: CC Dataset for Competitive Diffusion Model Training
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8/ CommonCanvas – a dataset of Creative-Commons-licensed (CC) images to train diffusion models competitive with Stable Diffusion 2 (SD2); rely on a transfer learning technique to produce high-quality synthetic captions paired with curated CC images.
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Matryoshka Diffusion Models for High-Resolution Image Video Synthesis
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3/ Matryoshka Diffusion Models – introduces an end-to-end framework for high-resolution image and video synthesis; involves a diffusion process that denoises inputs at multiple resolutions jointly and uses a NestedUNet architecture…
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Spectron: End-to-End Spoken Language Model Surpasses Existing Systems
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4/ Spectron – a spoken language model trained end-to-end to directly process spectrograms; it can be fine-tuned to generate high-quality accurate spoken language; surpasses existing spoken language models in speaker preservation and semantic coherence.