Have you been a good data scientist this year? Stable Diffusion 2.0 is now available on AutoTrain DreamBooth. Create your own AI-generated images without any code!Check it out here: https://
huggingface.co/spaces/abhishe
k/dreambooth
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The prompt for the image below was inspired by @hardmaru
's tweets
OPEN SOURCE
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Stable Diffusion 2.0 DreamBooth on AutoTrain Now Available
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LangChain AGI Demo Now Available on Hugging Face Spaces
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And now @JavaFXpert put this in a @huggingface spaces! https://
huggingface.co/spaces/JavaFXp
ert/langchain-agi
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OPT-175B: Free Open-Source GPT-3 Alternative Available
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Everyone is talking about #ChatGPT and #GPT3, but did you know there was a free, #opensource version of GPT-3 called OPT-175B? No login, no credit card needed! 😉 https://
opt.alpa.ai -
LangChain v0.0.45 Release: Redis Cache and Documentation Updates
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LangChain v0.0.45 Redis Cache support from @sjwhitmore Documentation improvements (one from @dheeraja486
, one highlighted by @altryne
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IBM Research Introduces FETA Benchmark for AI Technical Documentation Reading
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.@IBMResearch introduces FETA (Foundation models for Expert Task Applications) at #NeurIPS2022 — a first-of-its-kind benchmark meant to measure how well an #AI can read complex technical documentation: https://t.co/mGh0m1oR0z
— IBM Data, AI & Automation (@IBMData) 23 décembre 2022
—–#IBM #opensource #ML #datascience #automation.
@IBMResearch introduces FETA (Foundation models for Expert Task Applications) at #NeurIPS2022 — a first-of-its-kind benchmark meant to measure how well an #AI can read complex technical documentation: https://
ibm.co/3WCz363 —–
#IBM #opensource #ML #datascience #automation -
Futurepedia Launches Typesense Search Engine Integration
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What do you think of the new search functionality on Futurepedia?
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 23 décembre 2022
Implemented it using @typesense, an awesome open-source search engine! #ArtificialIntelligence #artificial #productivity pic.twitter.com/qlGs04jWunWhat do you think of the new search functionality on Futurepedia? Implemented it using @typesense
, an awesome open-source search engine! #ArtificialIntelligence #artificial #productivity -
OPT-IML: Instruction-Tuned Models for Diverse Language Tasks
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For OPT-IML, we boosted performance of our OPT-175B work using instruction tuning, allowing us to adapt it for more diverse language applications (Ex. Answering Q’s, summarizing text & translation). A 30B parameter model is available today with a 175B model available soon.
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Meta AI Announces OPT-IML: 175B Parameter Language Model
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Announcing OPT-IML: a new language model from Meta AI with 175B parameters, fine-tuned on 2,000 language tasks — openly available soon under a noncommercial license for research use cases. Research paper & more details on GitHub
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Zshot: Linking Entity Mentions to Exemplars via Transformers
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Zshot uses a transformers model that links mentions to exemplars you provide to the pipeline component. You can use standard NER mentions with @spacy_io 's built-in models, or you can train your own with https://
prodi.gy, optionally assisted by @OpenAI suggestions. -
spaCy Extension for Zero-Shot Labeling with Prodigy Integration
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Following up with the theme of zero and few-shot labelling, this spaCy extension by @IBMResearch is super cool, and could be used in combination with our recent Prodigy recipe: https://
github.com/explosion/prod
igy-openai-recipes
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