Instructions for saving and loading FAISS vectorstore You just want to create your vectorstore once, and then pass it around. We added some easy documentation on how to do so. https://
langchain.readthedocs.io/en/latest/modu
les/utils/combine_docs_examples/vectorstores.html#saving-and-loading
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MACHINE LEARNING
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FAISS Vectorstore Saving and Loading Guide
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Retailers Use DataRobot AI for Personalized Shopping Experiences
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🛒 How can retailers create a more personalized experience for shoppers? See how @Kroger and @8451Group use DataRobot to enable better production, deployment, and interpretation of data.#NRF #NRF2023 @NRFnews pic.twitter.com/do2QyOPIgw
— DataRobot (@DataRobot) 18 janvier 2023How can retailers create a more personalized experience for shoppers? See how @Kroger and @8451Group use DataRobot to enable better production, deployment, and interpretation of data. #NRF #NRF2023 @NRFnews
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OpenAI vs Anthropic: human ratings vs AI consistency judgment
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It doesn’t translate principles into code. Oversimplifying, the difference is that OpenAI’s models tune on generations rated as “perfect” by humans, or by RL imitating humans, and Anthropic’s tune on those judged by an AI to be consistent with a human-written “constitution”.
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ACM Honors Leading Computer Science Researchers as Fellows
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ACM names the latest class of Fellows: congrats to a whole bunch of great theorists, including @boazbaraktcs
, Sandy Irani, Rafael Pass, Samir Khuller, David Mount and especially my advisor @KonstDaskalakis
!! Also: my awesome colleague @lintool
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AlphaFold and protein structure prediction advances beyond CASP15
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En el CASP15 no se han presentado. Pero una gran cantidad de participantes se apoyaron en AF2 y ESM-Fold (de Meta) para llegar a buenos resultados. Aún así hay un tema sobre proteínas muy chulo que quiero tratar pronto. ¿Quizás no veamos a AlphaFold 3 sino a AlphaBind?
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GroqFlow Proof Points: Computer Vision and NLP Models
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Check out GroqFlow proof points with any of these models:
Computer Vision: DeiT-tiny, GoogleNet, MobileNetV2, ResNet50, SqueezeNet, Yolo v6
Natural Language Processing: Bert Tiny, Bert Base, DistilBERT, ELECTRA, MiniLM v2, RoBERTa, Speech Processing, M5 -
YOLO Object Detection for Underwater Trash Detection
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Learn how YOLO object detection can help create a greener environment. If you haven’t already, check out our blog post, which trains YOLOv6 on underwater trash detection dataset. https://
learnopencv.com/yolov6-custom-
dataset-training/
… #yolov5 #yolov6 #yolov7 #objectdetection #trashdetection #ai -
SECO and Axelera AI Partner for Next-Generation Edge AI Computer Vision
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We are thrilled to welcome SECO to our ecosystem to shape the next generation of Edge AI solutions for computer vision! https://
axelera.ai/seco-and-axele
ra-ai-together-to-shape-the-next-generation-of-edge-ai-solutions-for-computer-vision/
… #ArtificialIntelligence #edgeai #computervision #machinelearning -
TMLR Partners with AutoML Conference on Journal Track
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This is our first partnership between TMLR and a conference, on a journal-to-conference track. Thank you AutoML for working with us!
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Minimax Algorithm: Game Theory Decision-Making Explained
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Minimax is a backtracking algorithm used in decision-making and game theory to evaluate a player's best move. Want to know how it works? Tap: https://
bit.ly/3Wi3kH2 @jeevprabnivash @_DigitalIndia @GoI_MeitY @nasscom @NeGD_GoI