Here's on SD 2.1 local what is happening
OPEN SOURCE
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Cohere For AI celebrates six months of achievements
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Cohere For AI @forai_ml is celebrating six months of an incredible journey! Take a look back at everything that happened during this time
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Developer fixes Stability AI SDK image export configuration
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Fixed it by manually editing @StabilityAI
's SDK again, setting write = False when it's not an image, cause I could care less about .pb.json, or .pb files, I just want the image thx cc @EMostaque -
Ludwig AI Maintainer Discusses Declarative ML Approaches
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ICYMI: @ludwig_ai maintainer Justin Zhao joined @DataTalksClub to discuss all things declarative #ML. Topics covered:
• State of ML and #AutoML
• Overview of declarative approaches
• Live Ludwig demo
• Rapid config-driven iteration https://
pbase.ai/3HFNSAI #deeplearning -
LangChain Updates: Tokenizer, Document Reduction, Better Embeddings
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TL;DR: The new tokenizer allows easy estimation of token usage The `collapse` step allows for map-reducing over large number of documents Better embeddings allows for better searching over those documents https://
github.com/hwchase17/lang
chain
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LangChain v0.0.39: Document Analysis with OpenAI Integration
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Analyzing documents just got a lot easier with v0.0.39 (with major assist from @OpenAI
) Added a `collapse` step into the map-reduce chain (
@johnjnay
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Added support for @OpenAI new embeddings
Added support for @OpenAI new tokenizer Heres how they all work together -
Collapse Step for Map-Reduce Chain Scaling
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Adding a `collapse` step into the map-reduce chain This recursively collapses documents into smaller and smaller chunks, allowing you to scale to arbitrarily many documents This was a @johnjnay special – see his thread for more
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Stability SDK Python generates massive 3.5 GB ProtoBuffer files
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Anyone know why @StabilityAI
's Stability SDK Python lib generates massive 3.5 GB folders full of ProtoBuffer *.pb files? -
Hugging Face Reaches 100,000 Public AI Models Milestone
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We crossed 100,000 public AI models on the @huggingface hub available for free to all. Thank you to the whole community of contributors. Proud to make ML more open & collaborative!
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Docker Now Available for Spaces: Deploy ML Apps Easily
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You can now run Docker with Spaces! What does that mean? @elixirlang Phoenix, Dash, FastAPI, Shiny, and your favorite ML tools can now be used with Spaces! What will you build?